Biodiversity informatics: automated approaches for documenting global biodiversity patterns and processes
Identifieur interne : 000581 ( Istex/Corpus ); précédent : 000580; suivant : 000582Biodiversity informatics: automated approaches for documenting global biodiversity patterns and processes
Auteurs : Robert Guralnick ; Andrew HillSource :
- Bioinformatics [ 1367-4803 ] ; 2009-02-15.
Abstract
Motivation: Data about biodiversity have been scattered in different formats in natural history collections, survey reports and the literature. A central challenge for the biodiversity informatics community is to provide the means to share and rapidly synthesize these data and the knowledge they provide us to build an easily accessible, unified global map of biodiversity. Such a map would provide raw and summary data and information on biodiversity and its change across the world at multiple scales. Results: We discuss a series of steps required to create a unified global map of biodiversity. These steps include: building biodiversity repositories; creating scalable species distribution maps; creating flexible, user-programmable pipelines which enable biodiversity assessment; and integrating phylogenetic approaches into biodiversity assessment. We show two case studies that combine phyloinformatic and biodiversity informatic approaches to document large scale biodiversity patterns. The first case study uses data available from the Barcode of Life initiative in order to make species conservation assessment of North American birds taking into account evolutionary uniqueness. The second case study uses full genomes of influenza A available from Genbank to provide an auto-updating documentation of the evolution and geographic spread of these viruses. Availability: Both the website for tracking evolution and spread of influenza A and the website for applying phyloinformatics analysis to Barcode of Life data are available as outcomes of case studies (http://biodiversity.colorado.edu). Contact: robert.guralnick@colorado.edu
Url:
DOI: 10.1093/bioinformatics/btn659
Links to Exploration step
ISTEX:F4B831CDA1F95D5ED9327489EC843A35BA1A0049Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title>Biodiversity informatics: automated approaches for documenting global biodiversity patterns and processes</title><author><name sortKey="Guralnick, Robert" sort="Guralnick, Robert" uniqKey="Guralnick R" first="Robert" last="Guralnick">Robert Guralnick</name><affiliation><mods:affiliation>University of Colorado Museum of Natural History and Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO 80309-0265, USA</mods:affiliation></affiliation></author><author><name sortKey="Hill, Andrew" sort="Hill, Andrew" uniqKey="Hill A" first="Andrew" last="Hill">Andrew Hill</name><affiliation><mods:affiliation>University of Colorado Museum of Natural History and Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO 80309-0265, USA</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:F4B831CDA1F95D5ED9327489EC843A35BA1A0049</idno><date when="2009" year="2009">2009</date><idno type="doi">10.1093/bioinformatics/btn659</idno><idno type="url">https://api.istex.fr/document/F4B831CDA1F95D5ED9327489EC843A35BA1A0049/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000581</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a">Biodiversity informatics: automated approaches for documenting global biodiversity patterns and processes</title><author><name sortKey="Guralnick, Robert" sort="Guralnick, Robert" uniqKey="Guralnick R" first="Robert" last="Guralnick">Robert Guralnick</name><affiliation><mods:affiliation>University of Colorado Museum of Natural History and Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO 80309-0265, USA</mods:affiliation></affiliation></author><author><name sortKey="Hill, Andrew" sort="Hill, Andrew" uniqKey="Hill A" first="Andrew" last="Hill">Andrew Hill</name><affiliation><mods:affiliation>University of Colorado Museum of Natural History and Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO 80309-0265, USA</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Bioinformatics</title><idno type="ISSN">1367-4803</idno><idno type="eISSN">1460-2059</idno><imprint><publisher>Oxford University Press</publisher><date type="published" when="2009-02-15">2009-02-15</date><biblScope unit="volume">25</biblScope><biblScope unit="issue">4</biblScope><biblScope unit="page" from="421">421</biblScope><biblScope unit="page" to="428">428</biblScope></imprint><idno type="ISSN">1367-4803</idno></series><idno type="istex">F4B831CDA1F95D5ED9327489EC843A35BA1A0049</idno><idno type="DOI">10.1093/bioinformatics/btn659</idno><idno type="ArticleID">btn659</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1367-4803</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract">Motivation: Data about biodiversity have been scattered in different formats in natural history collections, survey reports and the literature. A central challenge for the biodiversity informatics community is to provide the means to share and rapidly synthesize these data and the knowledge they provide us to build an easily accessible, unified global map of biodiversity. Such a map would provide raw and summary data and information on biodiversity and its change across the world at multiple scales. Results: We discuss a series of steps required to create a unified global map of biodiversity. These steps include: building biodiversity repositories; creating scalable species distribution maps; creating flexible, user-programmable pipelines which enable biodiversity assessment; and integrating phylogenetic approaches into biodiversity assessment. We show two case studies that combine phyloinformatic and biodiversity informatic approaches to document large scale biodiversity patterns. The first case study uses data available from the Barcode of Life initiative in order to make species conservation assessment of North American birds taking into account evolutionary uniqueness. The second case study uses full genomes of influenza A available from Genbank to provide an auto-updating documentation of the evolution and geographic spread of these viruses. Availability: Both the website for tracking evolution and spread of influenza A and the website for applying phyloinformatics analysis to Barcode of Life data are available as outcomes of case studies (http://biodiversity.colorado.edu). Contact: robert.guralnick@colorado.edu</div></front></TEI><istex><corpusName>oup</corpusName><author><json:item><name>Robert Guralnick</name><affiliations><json:string>University of Colorado Museum of Natural History and Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO 80309-0265, USA</json:string></affiliations></json:item><json:item><name>Andrew Hill</name><affiliations><json:string>University of Colorado Museum of Natural History and Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO 80309-0265, USA</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>REVIEW</value></json:item></subject><articleId><json:string>btn659</json:string></articleId><language><json:string>eng</json:string></language><originalGenre><json:string>review-article</json:string></originalGenre><abstract>Motivation: Data about biodiversity have been scattered in different formats in natural history collections, survey reports and the literature. A central challenge for the biodiversity informatics community is to provide the means to share and rapidly synthesize these data and the knowledge they provide us to build an easily accessible, unified global map of biodiversity. Such a map would provide raw and summary data and information on biodiversity and its change across the world at multiple scales. Results: We discuss a series of steps required to create a unified global map of biodiversity. These steps include: building biodiversity repositories; creating scalable species distribution maps; creating flexible, user-programmable pipelines which enable biodiversity assessment; and integrating phylogenetic approaches into biodiversity assessment. We show two case studies that combine phyloinformatic and biodiversity informatic approaches to document large scale biodiversity patterns. The first case study uses data available from the Barcode of Life initiative in order to make species conservation assessment of North American birds taking into account evolutionary uniqueness. The second case study uses full genomes of influenza A available from Genbank to provide an auto-updating documentation of the evolution and geographic spread of these viruses. Availability: Both the website for tracking evolution and spread of influenza A and the website for applying phyloinformatics analysis to Barcode of Life data are available as outcomes of case studies (http://biodiversity.colorado.edu). Contact: robert.guralnick@colorado.edu</abstract><qualityIndicators><score>8.224</score><pdfVersion>1.4</pdfVersion><pdfPageSize>612 x 792 pts (letter)</pdfPageSize><refBibsNative>false</refBibsNative><keywordCount>1</keywordCount><abstractCharCount>1644</abstractCharCount><pdfWordCount>6532</pdfWordCount><pdfCharCount>43438</pdfCharCount><pdfPageCount>8</pdfPageCount><abstractWordCount>227</abstractWordCount></qualityIndicators><title>Biodiversity informatics: automated approaches for documenting global biodiversity patterns and processes</title><genre><json:string>review-article</json:string></genre><host><volume>25</volume><publisherId><json:string>bioinformatics</json:string></publisherId><pages><last>428</last><first>421</first></pages><issn><json:string>1367-4803</json:string></issn><issue>4</issue><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><eissn><json:string>1460-2059</json:string></eissn><title>Bioinformatics</title></host><categories><wos><json:string>COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS</json:string><json:string>MATHEMATICS, INTERDISCIPLINARY APPLICATIONS</json:string><json:string>STATISTICS & PROBABILITY</json:string><json:string>BIOCHEMICAL RESEARCH METHODS</json:string><json:string>BIOTECHNOLOGY & APPLIED MICROBIOLOGY</json:string><json:string>MATHEMATICAL & COMPUTATIONAL BIOLOGY</json:string></wos></categories><publicationDate>2009</publicationDate><copyrightDate>2009</copyrightDate><doi><json:string>10.1093/bioinformatics/btn659</json:string></doi><id>F4B831CDA1F95D5ED9327489EC843A35BA1A0049</id><score>0.1218448</score><fulltext><json:item><original>true</original><mimetype>application/pdf</mimetype><extension>pdf</extension><uri>https://api.istex.fr/document/F4B831CDA1F95D5ED9327489EC843A35BA1A0049/fulltext/pdf</uri></json:item><json:item><original>false</original><mimetype>application/zip</mimetype><extension>zip</extension><uri>https://api.istex.fr/document/F4B831CDA1F95D5ED9327489EC843A35BA1A0049/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/F4B831CDA1F95D5ED9327489EC843A35BA1A0049/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a">Biodiversity informatics: automated approaches for documenting global biodiversity patterns and processes</title><respStmt xml:id="ISTEX-API" resp="Références bibliographiques récupérées via GROBID" name="ISTEX-API (INIST-CNRS)"></respStmt><respStmt xml:id="ISTEX-API" resp="Références bibliographiques récupérées via GROBID" name="ISTEX-API (INIST-CNRS)"></respStmt><respStmt><resp>Références bibliographiques récupérées via GROBID</resp><name resp="ISTEX-API">ISTEX-API (INIST-CNRS)</name></respStmt></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>Oxford University Press</publisher><availability><p>OUP</p></availability><date>2009-01-06</date></publicationStmt><notesStmt><note>Associate Editor: Jonathan Wren</note><note>*To whom correspondence should be addressed.</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a">Biodiversity informatics: automated approaches for documenting global biodiversity patterns and processes</title><author corresp="yes"><persName><forename type="first">Robert</forename><surname>Guralnick</surname></persName><affiliation>University of Colorado Museum of Natural History and Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO 80309-0265, USA</affiliation></author><author><persName><forename type="first">Andrew</forename><surname>Hill</surname></persName><affiliation>University of Colorado Museum of Natural History and Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO 80309-0265, USA</affiliation></author></analytic><monogr><title level="j">Bioinformatics</title><idno type="pISSN">1367-4803</idno><idno type="eISSN">1460-2059</idno><imprint><publisher>Oxford University Press</publisher><date type="published" when="2009-02-15"></date><biblScope unit="volume">25</biblScope><biblScope unit="issue">4</biblScope><biblScope unit="page" from="421">421</biblScope><biblScope unit="page" to="428">428</biblScope></imprint></monogr><idno type="istex">F4B831CDA1F95D5ED9327489EC843A35BA1A0049</idno><idno type="DOI">10.1093/bioinformatics/btn659</idno><idno type="ArticleID">btn659</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2009-01-06</date></creation><langUsage><language ident="en">en</language></langUsage><abstract><p>Motivation: Data about biodiversity have been scattered in different formats in natural history collections, survey reports and the literature. A central challenge for the biodiversity informatics community is to provide the means to share and rapidly synthesize these data and the knowledge they provide us to build an easily accessible, unified global map of biodiversity. Such a map would provide raw and summary data and information on biodiversity and its change across the world at multiple scales. Results: We discuss a series of steps required to create a unified global map of biodiversity. These steps include: building biodiversity repositories; creating scalable species distribution maps; creating flexible, user-programmable pipelines which enable biodiversity assessment; and integrating phylogenetic approaches into biodiversity assessment. We show two case studies that combine phyloinformatic and biodiversity informatic approaches to document large scale biodiversity patterns. The first case study uses data available from the Barcode of Life initiative in order to make species conservation assessment of North American birds taking into account evolutionary uniqueness. The second case study uses full genomes of influenza A available from Genbank to provide an auto-updating documentation of the evolution and geographic spread of these viruses. Availability: Both the website for tracking evolution and spread of influenza A and the website for applying phyloinformatics analysis to Barcode of Life data are available as outcomes of case studies (http://biodiversity.colorado.edu). Contact: robert.guralnick@colorado.edu</p></abstract><textClass><keywords scheme="keyword"><list><item><term>REVIEW</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2009-01-06">Created</change><change when="2009-02-15">Published</change><change xml:id="refBibs-istex" who="#ISTEX-API" when="2016-3-15">References added</change><change xml:id="refBibs-istex" who="#ISTEX-API" when="2016-3-21">References added</change><change xml:id="refBibs-istex" who="#ISTEX-API" when="2016-07-28">References added</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><original>false</original><mimetype>text/plain</mimetype><extension>txt</extension><uri>https://api.istex.fr/document/F4B831CDA1F95D5ED9327489EC843A35BA1A0049/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="corpus oup" wicri:toSee="no header"><istex:xmlDeclaration>version="1.0" encoding="utf-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" URI="journalpublishing.dtd" name="istex:docType"></istex:docType><istex:document><article article-type="review-article"><front><journal-meta><journal-id journal-id-type="hwp">bioinfo</journal-id><journal-id journal-id-type="publisher-id">bioinformatics</journal-id><journal-title>Bioinformatics</journal-title><issn pub-type="ppub">1367-4803</issn><issn pub-type="epub">1460-2059</issn><publisher><publisher-name>Oxford University Press</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.1093/bioinformatics/btn659</article-id><article-id pub-id-type="publisher-id">btn659</article-id><article-categories><subj-group><subject>REVIEW</subject><subj-group><subject>DATA AND TEXT MINING</subject></subj-group></subj-group></article-categories><title-group><article-title>Biodiversity informatics: automated approaches for documenting global biodiversity patterns and processes</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Guralnick</surname><given-names>Robert</given-names></name><xref ref-type="aff" rid="AFF1"><sup>1</sup></xref><xref ref-type="aff" rid="AFF1"><sup>2</sup></xref><xref ref-type="corresp" rid="COR1">*</xref></contrib><contrib contrib-type="author"><name><surname>Hill</surname><given-names>Andrew</given-names></name><xref ref-type="aff" rid="AFF1"><sup>2</sup></xref></contrib></contrib-group><aff id="AFF1"><sup>1</sup>University of Colorado Museum of Natural History and <sup>2</sup>Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO 80309-0265, USA</aff><author-notes><corresp id="COR1">*To whom correspondence should be addressed.</corresp><fn><p>Associate Editor: Jonathan Wren</p></fn></author-notes><pub-date pub-type="ppub"><day>15</day><month>2</month><year>2009</year></pub-date><pub-date pub-type="epub"><day>6</day><month>1</month><year>2009</year></pub-date><volume>25</volume><issue>4</issue><fpage>421</fpage><lpage>428</lpage><history><date date-type="received"><day>23</day><month>11</month><year>2008</year></date><date date-type="rev-recd"><day>16</day><month>12</month><year>2008</year></date><date date-type="accepted"><day>18</day><month>12</month><year>2008</year></date></history><permissions><copyright-statement>© The Author 2009. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org</copyright-statement><copyright-year>2009</copyright-year></permissions><abstract><p><bold>Motivation:</bold> Data about biodiversity have been scattered in different formats in natural history collections, survey reports and the literature. A central challenge for the biodiversity informatics community is to provide the means to share and rapidly synthesize these data and the knowledge they provide us to build an easily accessible, unified global map of biodiversity. Such a map would provide raw and summary data and information on biodiversity and its change across the world at multiple scales.</p><p><bold>Results:</bold> We discuss a series of steps required to create a unified global map of biodiversity. These steps include: building biodiversity repositories; creating scalable species distribution maps; creating flexible, user-programmable pipelines which enable biodiversity assessment; and integrating phylogenetic approaches into biodiversity assessment. We show two case studies that combine phyloinformatic and biodiversity informatic approaches to document large scale biodiversity patterns. The first case study uses data available from the Barcode of Life initiative in order to make species conservation assessment of North American birds taking into account evolutionary uniqueness. The second case study uses full genomes of influenza A available from Genbank to provide an auto-updating documentation of the evolution and geographic spread of these viruses.</p><p><bold>Availability:</bold> Both the website for tracking evolution and spread of influenza A and the website for applying phyloinformatics analysis to Barcode of Life data are available as outcomes of case studies (<ext-link ext-link-type="uri" xlink:href="http://biodiversity.colorado.edu">http://biodiversity.colorado.edu</ext-link>).</p><p><bold>Contact:</bold> <email>robert.guralnick@colorado.edu</email></p></abstract></article-meta></front></article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>Biodiversity informatics: automated approaches for documenting global biodiversity patterns and processes</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Biodiversity informatics: automated approaches for documenting global biodiversity patterns and processes</title></titleInfo><name type="personal" displayLabel="corresp"><namePart type="given">Robert</namePart><namePart type="family">Guralnick</namePart><affiliation>University of Colorado Museum of Natural History and Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO 80309-0265, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Andrew</namePart><namePart type="family">Hill</namePart><affiliation>University of Colorado Museum of Natural History and Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO 80309-0265, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="review-article" displayLabel="review-article"></genre><subject><topic>REVIEW</topic></subject><originInfo><publisher>Oxford University Press</publisher><dateIssued encoding="w3cdtf">2009-02-15</dateIssued><dateCreated encoding="w3cdtf">2009-01-06</dateCreated><copyrightDate encoding="w3cdtf">2009</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract>Motivation: Data about biodiversity have been scattered in different formats in natural history collections, survey reports and the literature. A central challenge for the biodiversity informatics community is to provide the means to share and rapidly synthesize these data and the knowledge they provide us to build an easily accessible, unified global map of biodiversity. Such a map would provide raw and summary data and information on biodiversity and its change across the world at multiple scales. Results: We discuss a series of steps required to create a unified global map of biodiversity. These steps include: building biodiversity repositories; creating scalable species distribution maps; creating flexible, user-programmable pipelines which enable biodiversity assessment; and integrating phylogenetic approaches into biodiversity assessment. We show two case studies that combine phyloinformatic and biodiversity informatic approaches to document large scale biodiversity patterns. The first case study uses data available from the Barcode of Life initiative in order to make species conservation assessment of North American birds taking into account evolutionary uniqueness. The second case study uses full genomes of influenza A available from Genbank to provide an auto-updating documentation of the evolution and geographic spread of these viruses. Availability: Both the website for tracking evolution and spread of influenza A and the website for applying phyloinformatics analysis to Barcode of Life data are available as outcomes of case studies (http://biodiversity.colorado.edu). Contact: robert.guralnick@colorado.edu</abstract><note type="footnotes">Associate Editor: Jonathan Wren</note><note type="author-notes">*To whom correspondence should be addressed.</note><relatedItem type="host"><titleInfo><title>Bioinformatics</title></titleInfo><genre type="journal">journal</genre><identifier type="ISSN">1367-4803</identifier><identifier type="eISSN">1460-2059</identifier><identifier type="PublisherID">bioinformatics</identifier><identifier type="PublisherID-hwp">bioinfo</identifier><part><date>2009</date><detail type="volume"><caption>vol.</caption><number>25</number></detail><detail type="issue"><caption>no.</caption><number>4</number></detail><extent unit="pages"><start>421</start><end>428</end></extent></part></relatedItem><identifier type="istex">F4B831CDA1F95D5ED9327489EC843A35BA1A0049</identifier><identifier type="DOI">10.1093/bioinformatics/btn659</identifier><identifier type="ArticleID">btn659</identifier><accessCondition type="use and reproduction" contentType="copyright">© The Author 2009. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org</accessCondition><recordInfo><recordContentSource>OUP</recordContentSource></recordInfo></mods></metadata><covers><json:item><original>true</original><mimetype>image/tiff</mimetype><extension>tiff</extension><uri>https://api.istex.fr/document/F4B831CDA1F95D5ED9327489EC843A35BA1A0049/covers/tiff</uri></json:item></covers><annexes><json:item><original>true</original><mimetype>image/jpeg</mimetype><extension>jpeg</extension><uri>https://api.istex.fr/document/F4B831CDA1F95D5ED9327489EC843A35BA1A0049/annexes/jpeg</uri></json:item><json:item><original>true</original><mimetype>image/gif</mimetype><extension>gif</extension><uri>https://api.istex.fr/document/F4B831CDA1F95D5ED9327489EC843A35BA1A0049/annexes/gif</uri></json:item><json:item><original>true</original><mimetype>application/pdf</mimetype><extension>pdf</extension><uri>https://api.istex.fr/document/F4B831CDA1F95D5ED9327489EC843A35BA1A0049/annexes/pdf</uri></json:item></annexes><enrichments><istex:catWosTEI uri="https://api.istex.fr/document/F4B831CDA1F95D5ED9327489EC843A35BA1A0049/enrichments/catWos"><teiHeader><profileDesc><textClass><classCode scheme="WOS">COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS</classCode><classCode scheme="WOS">MATHEMATICS, INTERDISCIPLINARY APPLICATIONS</classCode><classCode scheme="WOS">STATISTICS & PROBABILITY</classCode><classCode scheme="WOS">BIOCHEMICAL RESEARCH METHODS</classCode><classCode scheme="WOS">BIOTECHNOLOGY & APPLIED MICROBIOLOGY</classCode><classCode scheme="WOS">MATHEMATICAL & COMPUTATIONAL BIOLOGY</classCode></textClass></profileDesc></teiHeader></istex:catWosTEI><json:item><type>refBibs</type><uri>https://api.istex.fr/document/F4B831CDA1F95D5ED9327489EC843A35BA1A0049/enrichments/refBibs</uri></json:item></enrichments><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/CyberinfraV1/Data/Istex/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000581 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Corpus/biblio.hfd -nk 000581 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= CyberinfraV1
|flux= Istex
|étape= Corpus
|type= RBID
|clé= ISTEX:F4B831CDA1F95D5ED9327489EC843A35BA1A0049
|texte= Biodiversity informatics: automated approaches for documenting global biodiversity patterns and processes
}}
| This area was generated with Dilib version V0.6.25. |  |