HLA Haplotype Frequency Estimation from Real-Life Data with the Hapl-o-Mat Software View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018-06-02

AUTHORS

Jürgen Sauter , Christian Schäfer , Alexander H. Schmidt

ABSTRACT

HLA haplotype frequencies are of use in a variety of settings. Such data is typically derived either from family pedigree data by targeted typing or statistical analysis of large population-specific genotype samples. As established tools for the latter approach lacked ability to treat the amount, ambiguity, and inhomogeneity found in genotype data in hematopoietic stem cell donor registries, we developed Hapl-o-Mat to alleviate these specific shortcomings. More... »

PAGES

275-284

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-4939-8546-3_19

DOI

http://dx.doi.org/10.1007/978-1-4939-8546-3_19

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1104347338

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29858816


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/2008/0104", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Statistics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Databases, Genetic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Frequency", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "HLA Antigens", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Haplotypes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Software", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Deutsche Knochenmarkspenderdatei", 
          "id": "https://www.grid.ac/institutes/grid.418500.8", 
          "name": [
            "DKMS gemeinn\u00fctzige GmbH, T\u00fcbingen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sauter", 
        "givenName": "J\u00fcrgen", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Deutsche Knochenmarkspenderdatei", 
          "id": "https://www.grid.ac/institutes/grid.418500.8", 
          "name": [
            "DKMS gemeinn\u00fctzige GmbH, T\u00fcbingen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sch\u00e4fer", 
        "givenName": "Christian", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Deutsche Knochenmarkspenderdatei", 
          "id": "https://www.grid.ac/institutes/grid.418500.8", 
          "name": [
            "DKMS gemeinn\u00fctzige GmbH, T\u00fcbingen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schmidt", 
        "givenName": "Alexander H.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1371/journal.pone.0086605", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003621426"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.humimm.2009.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005893423"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.humimm.2009.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005893423"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1399-0039.2010.01466.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012170539"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1399-0039.2010.01466.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012170539"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/tan.12150", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012262610"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/tan.12817", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017414209"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1399-0039.2010.01518.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027058455"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1034/j.1399-0039.2003.00096.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043473463"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2012/175419", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049949311"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.med.56.082103.104540", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050518360"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.molbev.a040269", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082376739"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082551936", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083073513", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12859-017-1692-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085704911", 
          "https://doi.org/10.1186/s12859-017-1692-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12859-017-1692-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085704911", 
          "https://doi.org/10.1186/s12859-017-1692-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.2517-6161.1977.tb01600.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1110458051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.2517-6161.1977.tb01600.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1110458051"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-06-02", 
    "datePublishedReg": "2018-06-02", 
    "description": "HLA haplotype frequencies are of use in a variety of settings. Such data is typically derived either from family pedigree data by targeted typing or statistical analysis of large population-specific genotype samples. As established tools for the latter approach lacked ability to treat the amount, ambiguity, and inhomogeneity found in genotype data in hematopoietic stem cell donor registries, we developed Hapl-o-Mat to alleviate these specific shortcomings.", 
    "editor": [
      {
        "familyName": "Boegel", 
        "givenName": "Sebastian", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-1-4939-8546-3_19", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-1-4939-8545-6", 
        "978-1-4939-8546-3"
      ], 
      "name": "HLA Typing", 
      "type": "Book"
    }, 
    "name": "HLA Haplotype Frequency Estimation from Real-Life Data with the Hapl-o-Mat Software", 
    "pagination": "275-284", 
    "productId": [
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29858816"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1104347338"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-1-4939-8546-3_19"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "49b4b76bebb3d46550db06b1c15ef5d3ad0b18cb752e25bad2ab8305c0a0f607"
        ]
      }
    ], 
    "publisher": {
      "location": "New York, NY", 
      "name": "Springer New York", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-1-4939-8546-3_19", 
      "https://app.dimensions.ai/details/publication/pub.1104347338"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T07:08", 
    "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/v90/0000000352_0000000352/records_60375_00000003.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-1-4939-8546-3_19"
  }
]
 

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.10.1007/978-1-4939-8546-3_19'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-8546-3_19'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-8546-3_19'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-8546-3_19'


 

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

145 TRIPLES      23 PREDICATES      47 URIs      26 LITERALS      15 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-1-4939-8546-3_19 schema:about N0fea219391984cb3b24023eba76d6d5f
2 N29662a3f49204d94b06e91744994caf5
3 N3f00f09cc1c84a43baa43bf4ae37b43c
4 N4d53c5ccc72e45e391e581f1f2e80494
5 N4fb124a4fefe42f6b33e5338fae63509
6 Ndf0edb872b764c9baa80c9823eeae6f6
7 anzsrc-for:01
8 anzsrc-for:0104
9 schema:author Nd2b702c4a1334dfa89e669817c878c22
10 schema:citation sg:pub.10.1186/s12859-017-1692-y
11 https://app.dimensions.ai/details/publication/pub.1082551936
12 https://app.dimensions.ai/details/publication/pub.1083073513
13 https://doi.org/10.1016/j.humimm.2009.08.006
14 https://doi.org/10.1034/j.1399-0039.2003.00096.x
15 https://doi.org/10.1093/oxfordjournals.molbev.a040269
16 https://doi.org/10.1111/j.1399-0039.2010.01466.x
17 https://doi.org/10.1111/j.1399-0039.2010.01518.x
18 https://doi.org/10.1111/j.2517-6161.1977.tb01600.x
19 https://doi.org/10.1111/tan.12150
20 https://doi.org/10.1111/tan.12817
21 https://doi.org/10.1146/annurev.med.56.082103.104540
22 https://doi.org/10.1155/2012/175419
23 https://doi.org/10.1371/journal.pone.0086605
24 schema:datePublished 2018-06-02
25 schema:datePublishedReg 2018-06-02
26 schema:description HLA haplotype frequencies are of use in a variety of settings. Such data is typically derived either from family pedigree data by targeted typing or statistical analysis of large population-specific genotype samples. As established tools for the latter approach lacked ability to treat the amount, ambiguity, and inhomogeneity found in genotype data in hematopoietic stem cell donor registries, we developed Hapl-o-Mat to alleviate these specific shortcomings.
27 schema:editor N2d52ff6af4b945c5bbaf5619201f1a52
28 schema:genre chapter
29 schema:inLanguage en
30 schema:isAccessibleForFree false
31 schema:isPartOf N453378d151fc4feab872c869498290fe
32 schema:name HLA Haplotype Frequency Estimation from Real-Life Data with the Hapl-o-Mat Software
33 schema:pagination 275-284
34 schema:productId N3408e56b7835477bb601302202032319
35 N57c9ee8aba6f4160a788c00c568eb97c
36 N87fb8e97117f4c0e9b273b5b887fa434
37 N99108d3cf1e041c7959621342a7bd742
38 schema:publisher Nca0aa3944fd74922adbe43ff715abc35
39 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104347338
40 https://doi.org/10.1007/978-1-4939-8546-3_19
41 schema:sdDatePublished 2019-04-16T07:08
42 schema:sdLicense https://scigraph.springernature.com/explorer/license/
43 schema:sdPublisher Nfb5087b75a174b8a9b9d403cda1bf26f
44 schema:url https://link.springer.com/10.1007%2F978-1-4939-8546-3_19
45 sgo:license sg:explorer/license/
46 sgo:sdDataset chapters
47 rdf:type schema:Chapter
48 N0128eb616ece4a58a26672953193b10a schema:affiliation https://www.grid.ac/institutes/grid.418500.8
49 schema:familyName Sauter
50 schema:givenName Jürgen
51 rdf:type schema:Person
52 N0fea219391984cb3b24023eba76d6d5f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
53 schema:name Haplotypes
54 rdf:type schema:DefinedTerm
55 N23f3971a3fda4219bc2806354cfd045f schema:familyName Boegel
56 schema:givenName Sebastian
57 rdf:type schema:Person
58 N29662a3f49204d94b06e91744994caf5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
59 schema:name Databases, Genetic
60 rdf:type schema:DefinedTerm
61 N2d52ff6af4b945c5bbaf5619201f1a52 rdf:first N23f3971a3fda4219bc2806354cfd045f
62 rdf:rest rdf:nil
63 N3408e56b7835477bb601302202032319 schema:name dimensions_id
64 schema:value pub.1104347338
65 rdf:type schema:PropertyValue
66 N3f00f09cc1c84a43baa43bf4ae37b43c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
67 schema:name Humans
68 rdf:type schema:DefinedTerm
69 N453378d151fc4feab872c869498290fe schema:isbn 978-1-4939-8545-6
70 978-1-4939-8546-3
71 schema:name HLA Typing
72 rdf:type schema:Book
73 N49196caa61be4a3e9444084332460324 schema:affiliation https://www.grid.ac/institutes/grid.418500.8
74 schema:familyName Schäfer
75 schema:givenName Christian
76 rdf:type schema:Person
77 N4d53c5ccc72e45e391e581f1f2e80494 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name HLA Antigens
79 rdf:type schema:DefinedTerm
80 N4fb124a4fefe42f6b33e5338fae63509 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Software
82 rdf:type schema:DefinedTerm
83 N57c9ee8aba6f4160a788c00c568eb97c schema:name doi
84 schema:value 10.1007/978-1-4939-8546-3_19
85 rdf:type schema:PropertyValue
86 N818823b9fbbf45aabbf743940b640e40 rdf:first N49196caa61be4a3e9444084332460324
87 rdf:rest N9778e192c353440caa31965a22b7ea94
88 N87fb8e97117f4c0e9b273b5b887fa434 schema:name pubmed_id
89 schema:value 29858816
90 rdf:type schema:PropertyValue
91 N9778e192c353440caa31965a22b7ea94 rdf:first Nbace36557ab44d568f73585712aa3a94
92 rdf:rest rdf:nil
93 N99108d3cf1e041c7959621342a7bd742 schema:name readcube_id
94 schema:value 49b4b76bebb3d46550db06b1c15ef5d3ad0b18cb752e25bad2ab8305c0a0f607
95 rdf:type schema:PropertyValue
96 Nbace36557ab44d568f73585712aa3a94 schema:affiliation https://www.grid.ac/institutes/grid.418500.8
97 schema:familyName Schmidt
98 schema:givenName Alexander H.
99 rdf:type schema:Person
100 Nca0aa3944fd74922adbe43ff715abc35 schema:location New York, NY
101 schema:name Springer New York
102 rdf:type schema:Organisation
103 Nd2b702c4a1334dfa89e669817c878c22 rdf:first N0128eb616ece4a58a26672953193b10a
104 rdf:rest N818823b9fbbf45aabbf743940b640e40
105 Ndf0edb872b764c9baa80c9823eeae6f6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Gene Frequency
107 rdf:type schema:DefinedTerm
108 Nfb5087b75a174b8a9b9d403cda1bf26f schema:name Springer Nature - SN SciGraph project
109 rdf:type schema:Organization
110 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
111 schema:name Mathematical Sciences
112 rdf:type schema:DefinedTerm
113 anzsrc-for:0104 schema:inDefinedTermSet anzsrc-for:
114 schema:name Statistics
115 rdf:type schema:DefinedTerm
116 sg:pub.10.1186/s12859-017-1692-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1085704911
117 https://doi.org/10.1186/s12859-017-1692-y
118 rdf:type schema:CreativeWork
119 https://app.dimensions.ai/details/publication/pub.1082551936 schema:CreativeWork
120 https://app.dimensions.ai/details/publication/pub.1083073513 schema:CreativeWork
121 https://doi.org/10.1016/j.humimm.2009.08.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005893423
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1034/j.1399-0039.2003.00096.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043473463
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1093/oxfordjournals.molbev.a040269 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082376739
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1111/j.1399-0039.2010.01466.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1012170539
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1111/j.1399-0039.2010.01518.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1027058455
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1111/j.2517-6161.1977.tb01600.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1110458051
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1111/tan.12150 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012262610
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1111/tan.12817 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017414209
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1146/annurev.med.56.082103.104540 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050518360
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1155/2012/175419 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049949311
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1371/journal.pone.0086605 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003621426
142 rdf:type schema:CreativeWork
143 https://www.grid.ac/institutes/grid.418500.8 schema:alternateName Deutsche Knochenmarkspenderdatei
144 schema:name DKMS gemeinnützige GmbH, Tübingen, Germany
145 rdf:type schema:Organization
 




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


...