Ontology type: schema:ScholarlyArticle Open Access: True
1993-08
AUTHORSAleksandar Milosavljević, Jerzy Jurka
ABSTRACTWe apply the Minimal Length Encoding Principle to formalize inference about the evolution of macromolecular sequences. The Principle is shown to imply a combination of Weighted Parsimony and Compatibility methods that have long been used by biologists because of their good practical performance. The background assumptions are expressed as an encoding scheme for the observed data and as heuristic rules for selection of diagnostic positions in the sequences. The Principle was applied to discover new subfamilies of Alu sequences, the most numerous family of repetitive DNA sequences in the human genome. More... »
PAGES69-87
http://scigraph.springernature.com/pub.10.1023/a:1022871401069
DOIhttp://dx.doi.org/10.1023/a:1022871401069
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1010798096
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"
}
],
"author": [
{
"affiliation": {
"alternateName": "Oregon State University",
"id": "https://www.grid.ac/institutes/grid.4391.f",
"name": [
"Linus Pauling Institute of Science and Medicine, 440 Page Mill Rd., 94306, Palo Alto, CA"
],
"type": "Organization"
},
"familyName": "Milosavljevi\u0107",
"givenName": "Aleksandar",
"id": "sg:person.0771403770.00",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771403770.00"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Oregon State University",
"id": "https://www.grid.ac/institutes/grid.4391.f",
"name": [
"Linus Pauling Institute of Science and Medicine, 440 Page Mill Rd., 94306, Palo Alto, CA"
],
"type": "Organization"
},
"familyName": "Jurka",
"givenName": "Jerzy",
"id": "sg:person.0663101366.99",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663101366.99"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/bf02458580",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001931403",
"https://doi.org/10.1007/bf02458580"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02458580",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001931403",
"https://doi.org/10.1007/bf02458580"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0022-5193(68)90128-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002749338"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0004-3702(89)90046-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004978830"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0004-3702(89)90046-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004978830"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/b978-1-55860-213-7.50036-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010945436"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1145/321356.321363",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012160236"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02515383",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014911372",
"https://doi.org/10.1007/bf02515383"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02515383",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014911372",
"https://doi.org/10.1007/bf02515383"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02459508",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015439535",
"https://doi.org/10.1007/bf02459508"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02459508",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015439535",
"https://doi.org/10.1007/bf02459508"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02099850",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016386165",
"https://doi.org/10.1007/bf02099850"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02099850",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016386165",
"https://doi.org/10.1007/bf02099850"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00114265",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017000685",
"https://doi.org/10.1007/bf00114265"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.83.11.3875",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017670206"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0076-6879(90)83041-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021608205"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0022-2836(81)90087-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024589839"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/00207166808803030",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025972892"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0019-9958(64)90223-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027287787"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.85.13.4770",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028476445"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/comjnl/11.2.185",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029379316"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0022-5193(73)90088-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033406266"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.85.13.4775",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037044690"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02115575",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037938694",
"https://doi.org/10.1007/bf02115575"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02115575",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037938694",
"https://doi.org/10.1007/bf02115575"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02602921",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038119332",
"https://doi.org/10.1007/bf02602921"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02602921",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038119332",
"https://doi.org/10.1007/bf02602921"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02100074",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044484378",
"https://doi.org/10.1007/bf02100074"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02100074",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044484378",
"https://doi.org/10.1007/bf02100074"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/b978-0-08-094829-4.50010-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051288615"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1095-8312.1981.tb01847.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053627522"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1086/412935",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058703986"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tpami.1983.4767409",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061741968"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.134.3489.1501",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062476600"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/2412182",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069920655"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/2412604",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069921007"
],
"type": "CreativeWork"
}
],
"datePublished": "1993-08",
"datePublishedReg": "1993-08-01",
"description": "We apply the Minimal Length Encoding Principle to formalize inference about the evolution of macromolecular sequences. The Principle is shown to imply a combination of Weighted Parsimony and Compatibility methods that have long been used by biologists because of their good practical performance. The background assumptions are expressed as an encoding scheme for the observed data and as heuristic rules for selection of diagnostic positions in the sequences. The Principle was applied to discover new subfamilies of Alu sequences, the most numerous family of repetitive DNA sequences in the human genome.",
"genre": "research_article",
"id": "sg:pub.10.1023/a:1022871401069",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1125588",
"issn": [
"0885-6125",
"1573-0565"
],
"name": "Machine Learning",
"type": "Periodical"
},
{
"issueNumber": "1-3",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "12"
}
],
"name": "Discovery by Minimal Length Encoding: A Case Study in Molecular Evolution",
"pagination": "69-87",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"33716d360b6b63dd97a2f0cdb7b968d4aadd3a1b443ccc379c5d335c48b6892a"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1023/a:1022871401069"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1010798096"
]
}
],
"sameAs": [
"https://doi.org/10.1023/a:1022871401069",
"https://app.dimensions.ai/details/publication/pub.1010798096"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T01:05",
"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/v90/0000000001_0000000264/records_8697_00000503.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1023%2FA%3A1022871401069"
}
]
Download the RDF metadata as:Â json-ld nt turtle xml License info
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.10.1023/a:1022871401069'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1023/a:1022871401069'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1023/a:1022871401069'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1023/a:1022871401069'
This table displays all metadata directly associated to this object as RDF triples.
160 TRIPLES
21 PREDICATES
55 URIs
19 LITERALS
7 BLANK NODES