Computer programs for population genetics data analysis: a survival guide View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-10

AUTHORS

Laurent Excoffier, Gerald Heckel

ABSTRACT

The analysis of genetic diversity within species is vital for understanding evolutionary processes at the population level and at the genomic level. A large quantity of data can now be produced at an unprecedented rate, requiring the use of dedicated computer programs to extract all embedded information. Several statistical packages have been recently developed, which offer a panel of standard and more sophisticated analyses. We describe here the functionalities, special features and assumptions of more than 20 such programs, indicate how they can interoperate, and discuss new directions that could lead to improved software and analyses. More... »

PAGES

745-758

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nrg1904

DOI

http://dx.doi.org/10.1038/nrg1904

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1008780244

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16924258


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Computers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetics, Population", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Software", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Statistics as Topic", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Bern", 
          "id": "https://www.grid.ac/institutes/grid.5734.5", 
          "name": [
            "Computational and Molecular Population Genetics Laboratory, Zoological Institute, University of Berne, Baltzerstrasse 6, 3012 Berne, Switzerland. laurent.excoffier@zoo.unibe.ch"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Excoffier", 
        "givenName": "Laurent", 
        "id": "sg:person.01331076117.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01331076117.18"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Heckel", 
        "givenName": "Gerald", 
        "id": "sg:person.01214275453.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214275453.50"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1073/pnas.0502300102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002858652"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0502300102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002858652"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1471-8286.2002.00305.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003660994"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.0014-3820.2000.tb00573.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004207676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/tpbi.1996.0018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004970644"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.4252305", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005193627"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1471-8286.2003.00351.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005674384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1078311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005962126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.103.024182", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006289441"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.103.024182", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006289441"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.104.033803", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006529040"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.104.033803", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006529040"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1420-9101.2003.00644.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007081640"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-294x.2004.02101.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009272991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-294x.2004.02393.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010740426"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1479-7364-1-3-218", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011019708", 
          "https://doi.org/10.1186/1479-7364-1-3-218"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1479-7364-1-1-63", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012566684", 
          "https://doi.org/10.1186/1479-7364-1-1-63"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jhered/esh074", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014256735"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/0470011815.b2a14021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014581457"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/0470011815.b2a14021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014581457"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.104.036236", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014650308"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.104.036236", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014650308"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1479-7364-2-4-258", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015564444", 
          "https://doi.org/10.1186/1479-7364-2-4-258"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bth250", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016574435"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04226", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017293702", 
          "https://doi.org/10.1038/nature04226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04226", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017293702", 
          "https://doi.org/10.1038/nature04226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04226", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017293702", 
          "https://doi.org/10.1038/nature04226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bti803", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017611621"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bib/5.2.150", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018138429"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/416424a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024616656", 
          "https://doi.org/10.1038/416424a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/416424a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024616656", 
          "https://doi.org/10.1038/416424a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1471-8286.2004.00597.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028421929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-5193(82)90152-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029357002"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-294x.2004.02125.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030004353"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btg359", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030077759"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.104.037325", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032428439"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.104.037325", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032428439"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspb.1996.0237", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032966426"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-294x.2003.01928.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033173279"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1471-8286.2007.01758.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034724710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1471-8286.2004.00828.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037499588"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1467-985x.00264", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038163150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1471-8286.2005.01030.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040359801"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.0014-3820.2000.tb00006.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040679482"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bti003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041948001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.3709305", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043284437"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pbio.0020286", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044097460"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-294x.2005.02553.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045105386"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-294x.2005.02553.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045105386"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg1318", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045116249", 
          "https://doi.org/10.1038/nrg1318"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg1318", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045116249", 
          "https://doi.org/10.1038/nrg1318"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0306899100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045261390"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-294x.2003.01969.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045292202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-294x.2003.02028.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047224592"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.238602", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051723026"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1471-8286.2005.01031.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051723895"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijpara.2005.02.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052528686"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/428594", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058715738"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2135/cropsci2000.4061521x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069026916"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2410454", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069919304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074556906", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074647594", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074834173", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075016616", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075216843", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075259850", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075335894", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076348996", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078957195", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082473351", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082473352", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082813000", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.jhered.a111573", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083620582"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.jhered.a111627", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083620598"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1558-5646.1995.tb04456.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085728076"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-10", 
    "datePublishedReg": "2006-10-01", 
    "description": "The analysis of genetic diversity within species is vital for understanding evolutionary processes at the population level and at the genomic level. A large quantity of data can now be produced at an unprecedented rate, requiring the use of dedicated computer programs to extract all embedded information. Several statistical packages have been recently developed, which offer a panel of standard and more sophisticated analyses. We describe here the functionalities, special features and assumptions of more than 20 such programs, indicate how they can interoperate, and discuss new directions that could lead to improved software and analyses.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/nrg1904", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1023607", 
        "issn": [
          "1471-0056", 
          "1471-0064"
        ], 
        "name": "Nature Reviews Genetics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "10", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "7"
      }
    ], 
    "name": "Computer programs for population genetics data analysis: a survival guide", 
    "pagination": "745-758", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "29d51a061516b22293bba98dac6d94681e600b5e8956291db483d766a57469c6"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "16924258"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100962779"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/nrg1904"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1008780244"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/nrg1904", 
      "https://app.dimensions.ai/details/publication/pub.1008780244"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:52", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000359_0000000359/records_29191_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/nrg/journal/v7/n10/full/nrg1904.html"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/nrg1904'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/nrg1904'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nrg1904'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nrg1904'


 

This table displays all metadata directly associated to this object as RDF triples.

281 TRIPLES      21 PREDICATES      98 URIs      26 LITERALS      14 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/nrg1904 schema:about N17df56abf65c4a7184d8a5701646c924
2 N25d5aa1e4ec742c99fd0f17dce1e8424
3 N2b3409b218c04ce8a37adf5fdc2f6e47
4 N8c8d2ed53e2d48f5979a4a5b4e1b661f
5 N94e8a285e2d2495bb56c5d1d3ba15003
6 anzsrc-for:06
7 anzsrc-for:0604
8 schema:author N55ba5f65b2e648c3b189b328021fc541
9 schema:citation sg:pub.10.1038/416424a
10 sg:pub.10.1038/nature04226
11 sg:pub.10.1038/nrg1318
12 sg:pub.10.1186/1479-7364-1-1-63
13 sg:pub.10.1186/1479-7364-1-3-218
14 sg:pub.10.1186/1479-7364-2-4-258
15 https://app.dimensions.ai/details/publication/pub.1074556906
16 https://app.dimensions.ai/details/publication/pub.1074647594
17 https://app.dimensions.ai/details/publication/pub.1074834173
18 https://app.dimensions.ai/details/publication/pub.1075016616
19 https://app.dimensions.ai/details/publication/pub.1075216843
20 https://app.dimensions.ai/details/publication/pub.1075259850
21 https://app.dimensions.ai/details/publication/pub.1075335894
22 https://app.dimensions.ai/details/publication/pub.1076348996
23 https://app.dimensions.ai/details/publication/pub.1078957195
24 https://app.dimensions.ai/details/publication/pub.1082473351
25 https://app.dimensions.ai/details/publication/pub.1082473352
26 https://app.dimensions.ai/details/publication/pub.1082813000
27 https://doi.org/10.1002/0470011815.b2a14021
28 https://doi.org/10.1006/tpbi.1996.0018
29 https://doi.org/10.1016/0022-5193(82)90152-7
30 https://doi.org/10.1016/j.ijpara.2005.02.007
31 https://doi.org/10.1046/j.1365-294x.2003.01928.x
32 https://doi.org/10.1046/j.1365-294x.2003.01969.x
33 https://doi.org/10.1046/j.1365-294x.2003.02028.x
34 https://doi.org/10.1046/j.1420-9101.2003.00644.x
35 https://doi.org/10.1046/j.1471-8286.2002.00305.x
36 https://doi.org/10.1046/j.1471-8286.2003.00351.x
37 https://doi.org/10.1073/pnas.0306899100
38 https://doi.org/10.1073/pnas.0502300102
39 https://doi.org/10.1086/428594
40 https://doi.org/10.1093/bib/5.2.150
41 https://doi.org/10.1093/bioinformatics/btg359
42 https://doi.org/10.1093/bioinformatics/bth250
43 https://doi.org/10.1093/bioinformatics/bti003
44 https://doi.org/10.1093/bioinformatics/bti803
45 https://doi.org/10.1093/jhered/esh074
46 https://doi.org/10.1093/oxfordjournals.jhered.a111573
47 https://doi.org/10.1093/oxfordjournals.jhered.a111627
48 https://doi.org/10.1098/rspb.1996.0237
49 https://doi.org/10.1101/gr.238602
50 https://doi.org/10.1101/gr.3709305
51 https://doi.org/10.1101/gr.4252305
52 https://doi.org/10.1111/1467-985x.00264
53 https://doi.org/10.1111/j.0014-3820.2000.tb00006.x
54 https://doi.org/10.1111/j.0014-3820.2000.tb00573.x
55 https://doi.org/10.1111/j.1365-294x.2004.02101.x
56 https://doi.org/10.1111/j.1365-294x.2004.02125.x
57 https://doi.org/10.1111/j.1365-294x.2004.02393.x
58 https://doi.org/10.1111/j.1365-294x.2005.02553.x
59 https://doi.org/10.1111/j.1471-8286.2004.00597.x
60 https://doi.org/10.1111/j.1471-8286.2004.00828.x
61 https://doi.org/10.1111/j.1471-8286.2005.01030.x
62 https://doi.org/10.1111/j.1471-8286.2005.01031.x
63 https://doi.org/10.1111/j.1471-8286.2007.01758.x
64 https://doi.org/10.1111/j.1558-5646.1995.tb04456.x
65 https://doi.org/10.1126/science.1078311
66 https://doi.org/10.1371/journal.pbio.0020286
67 https://doi.org/10.1534/genetics.103.024182
68 https://doi.org/10.1534/genetics.104.033803
69 https://doi.org/10.1534/genetics.104.036236
70 https://doi.org/10.1534/genetics.104.037325
71 https://doi.org/10.2135/cropsci2000.4061521x
72 https://doi.org/10.2307/2410454
73 schema:datePublished 2006-10
74 schema:datePublishedReg 2006-10-01
75 schema:description The analysis of genetic diversity within species is vital for understanding evolutionary processes at the population level and at the genomic level. A large quantity of data can now be produced at an unprecedented rate, requiring the use of dedicated computer programs to extract all embedded information. Several statistical packages have been recently developed, which offer a panel of standard and more sophisticated analyses. We describe here the functionalities, special features and assumptions of more than 20 such programs, indicate how they can interoperate, and discuss new directions that could lead to improved software and analyses.
76 schema:genre research_article
77 schema:inLanguage en
78 schema:isAccessibleForFree false
79 schema:isPartOf N0bdca9fce37448068cbf202ae6d4fda4
80 N5d335817e9e149f689939ba90f34328f
81 sg:journal.1023607
82 schema:name Computer programs for population genetics data analysis: a survival guide
83 schema:pagination 745-758
84 schema:productId N48ad62c8acd64bb387b30541fc98b70d
85 N66582d01d1ff406487d4383b593f16ef
86 N6d4949eb52b24610a61d4fd8b8e0c50b
87 Ncbd35f7428c04c0c8e72cfa9c59250c8
88 Nf836539f86aa4415b5f294ab904cc320
89 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008780244
90 https://doi.org/10.1038/nrg1904
91 schema:sdDatePublished 2019-04-11T11:52
92 schema:sdLicense https://scigraph.springernature.com/explorer/license/
93 schema:sdPublisher N5aa2b26c14fb4d12b99b48ae9d23bba2
94 schema:url http://www.nature.com/nrg/journal/v7/n10/full/nrg1904.html
95 sgo:license sg:explorer/license/
96 sgo:sdDataset articles
97 rdf:type schema:ScholarlyArticle
98 N0bdca9fce37448068cbf202ae6d4fda4 schema:volumeNumber 7
99 rdf:type schema:PublicationVolume
100 N17df56abf65c4a7184d8a5701646c924 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Genetics, Population
102 rdf:type schema:DefinedTerm
103 N25d5aa1e4ec742c99fd0f17dce1e8424 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Statistics as Topic
105 rdf:type schema:DefinedTerm
106 N2b3409b218c04ce8a37adf5fdc2f6e47 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Software
108 rdf:type schema:DefinedTerm
109 N48ad62c8acd64bb387b30541fc98b70d schema:name nlm_unique_id
110 schema:value 100962779
111 rdf:type schema:PropertyValue
112 N55ba5f65b2e648c3b189b328021fc541 rdf:first sg:person.01331076117.18
113 rdf:rest Nc2ac1a17d8ca47cf9b520964710fe4df
114 N5aa2b26c14fb4d12b99b48ae9d23bba2 schema:name Springer Nature - SN SciGraph project
115 rdf:type schema:Organization
116 N5d335817e9e149f689939ba90f34328f schema:issueNumber 10
117 rdf:type schema:PublicationIssue
118 N66582d01d1ff406487d4383b593f16ef schema:name readcube_id
119 schema:value 29d51a061516b22293bba98dac6d94681e600b5e8956291db483d766a57469c6
120 rdf:type schema:PropertyValue
121 N6d4949eb52b24610a61d4fd8b8e0c50b schema:name pubmed_id
122 schema:value 16924258
123 rdf:type schema:PropertyValue
124 N8c8d2ed53e2d48f5979a4a5b4e1b661f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Computers
126 rdf:type schema:DefinedTerm
127 N94e8a285e2d2495bb56c5d1d3ba15003 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Humans
129 rdf:type schema:DefinedTerm
130 Nc2ac1a17d8ca47cf9b520964710fe4df rdf:first sg:person.01214275453.50
131 rdf:rest rdf:nil
132 Ncbd35f7428c04c0c8e72cfa9c59250c8 schema:name dimensions_id
133 schema:value pub.1008780244
134 rdf:type schema:PropertyValue
135 Nf836539f86aa4415b5f294ab904cc320 schema:name doi
136 schema:value 10.1038/nrg1904
137 rdf:type schema:PropertyValue
138 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
139 schema:name Biological Sciences
140 rdf:type schema:DefinedTerm
141 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
142 schema:name Genetics
143 rdf:type schema:DefinedTerm
144 sg:journal.1023607 schema:issn 1471-0056
145 1471-0064
146 schema:name Nature Reviews Genetics
147 rdf:type schema:Periodical
148 sg:person.01214275453.50 schema:familyName Heckel
149 schema:givenName Gerald
150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01214275453.50
151 rdf:type schema:Person
152 sg:person.01331076117.18 schema:affiliation https://www.grid.ac/institutes/grid.5734.5
153 schema:familyName Excoffier
154 schema:givenName Laurent
155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01331076117.18
156 rdf:type schema:Person
157 sg:pub.10.1038/416424a schema:sameAs https://app.dimensions.ai/details/publication/pub.1024616656
158 https://doi.org/10.1038/416424a
159 rdf:type schema:CreativeWork
160 sg:pub.10.1038/nature04226 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017293702
161 https://doi.org/10.1038/nature04226
162 rdf:type schema:CreativeWork
163 sg:pub.10.1038/nrg1318 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045116249
164 https://doi.org/10.1038/nrg1318
165 rdf:type schema:CreativeWork
166 sg:pub.10.1186/1479-7364-1-1-63 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012566684
167 https://doi.org/10.1186/1479-7364-1-1-63
168 rdf:type schema:CreativeWork
169 sg:pub.10.1186/1479-7364-1-3-218 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011019708
170 https://doi.org/10.1186/1479-7364-1-3-218
171 rdf:type schema:CreativeWork
172 sg:pub.10.1186/1479-7364-2-4-258 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015564444
173 https://doi.org/10.1186/1479-7364-2-4-258
174 rdf:type schema:CreativeWork
175 https://app.dimensions.ai/details/publication/pub.1074556906 schema:CreativeWork
176 https://app.dimensions.ai/details/publication/pub.1074647594 schema:CreativeWork
177 https://app.dimensions.ai/details/publication/pub.1074834173 schema:CreativeWork
178 https://app.dimensions.ai/details/publication/pub.1075016616 schema:CreativeWork
179 https://app.dimensions.ai/details/publication/pub.1075216843 schema:CreativeWork
180 https://app.dimensions.ai/details/publication/pub.1075259850 schema:CreativeWork
181 https://app.dimensions.ai/details/publication/pub.1075335894 schema:CreativeWork
182 https://app.dimensions.ai/details/publication/pub.1076348996 schema:CreativeWork
183 https://app.dimensions.ai/details/publication/pub.1078957195 schema:CreativeWork
184 https://app.dimensions.ai/details/publication/pub.1082473351 schema:CreativeWork
185 https://app.dimensions.ai/details/publication/pub.1082473352 schema:CreativeWork
186 https://app.dimensions.ai/details/publication/pub.1082813000 schema:CreativeWork
187 https://doi.org/10.1002/0470011815.b2a14021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014581457
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1006/tpbi.1996.0018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004970644
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1016/0022-5193(82)90152-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029357002
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1016/j.ijpara.2005.02.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052528686
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1046/j.1365-294x.2003.01928.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1033173279
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1046/j.1365-294x.2003.01969.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045292202
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1046/j.1365-294x.2003.02028.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1047224592
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1046/j.1420-9101.2003.00644.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007081640
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1046/j.1471-8286.2002.00305.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1003660994
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1046/j.1471-8286.2003.00351.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1005674384
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1073/pnas.0306899100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045261390
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1073/pnas.0502300102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002858652
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1086/428594 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058715738
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1093/bib/5.2.150 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018138429
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1093/bioinformatics/btg359 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030077759
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1093/bioinformatics/bth250 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016574435
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1093/bioinformatics/bti003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041948001
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1093/bioinformatics/bti803 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017611621
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1093/jhered/esh074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014256735
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1093/oxfordjournals.jhered.a111573 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083620582
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1093/oxfordjournals.jhered.a111627 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083620598
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1098/rspb.1996.0237 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032966426
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1101/gr.238602 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051723026
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1101/gr.3709305 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043284437
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1101/gr.4252305 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005193627
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1111/1467-985x.00264 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038163150
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1111/j.0014-3820.2000.tb00006.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1040679482
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1111/j.0014-3820.2000.tb00573.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004207676
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1111/j.1365-294x.2004.02101.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1009272991
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1111/j.1365-294x.2004.02125.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1030004353
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1111/j.1365-294x.2004.02393.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1010740426
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1111/j.1365-294x.2005.02553.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045105386
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1111/j.1471-8286.2004.00597.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1028421929
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1111/j.1471-8286.2004.00828.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1037499588
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1111/j.1471-8286.2005.01030.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1040359801
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1111/j.1471-8286.2005.01031.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1051723895
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1111/j.1471-8286.2007.01758.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1034724710
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1111/j.1558-5646.1995.tb04456.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1085728076
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1126/science.1078311 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005962126
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1371/journal.pbio.0020286 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044097460
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1534/genetics.103.024182 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006289441
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1534/genetics.104.033803 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006529040
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1534/genetics.104.036236 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014650308
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1534/genetics.104.037325 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032428439
274 rdf:type schema:CreativeWork
275 https://doi.org/10.2135/cropsci2000.4061521x schema:sameAs https://app.dimensions.ai/details/publication/pub.1069026916
276 rdf:type schema:CreativeWork
277 https://doi.org/10.2307/2410454 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069919304
278 rdf:type schema:CreativeWork
279 https://www.grid.ac/institutes/grid.5734.5 schema:alternateName University of Bern
280 schema:name Computational and Molecular Population Genetics Laboratory, Zoological Institute, University of Berne, Baltzerstrasse 6, 3012 Berne, Switzerland. laurent.excoffier@zoo.unibe.ch
281 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...