BISQUE: locus- and variant-specific conversion of genomic, transcriptomic and proteomic database identifiers
Biological sequence databases are integral to efforts to characterize and understand biological molecules and share biological data. However, when analyzing these data, scientists are often left holding disparate biological currency-molecular identifiers from different databases. For downstream appl...
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Veröffentlicht in: | Bioinformatics 2016-05, Vol.32 (10), p.1598-1600 |
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description | Biological sequence databases are integral to efforts to characterize and understand biological molecules and share biological data. However, when analyzing these data, scientists are often left holding disparate biological currency-molecular identifiers from different databases. For downstream applications that require converting the identifiers themselves, there are many resources available, but analyzing associated loci and variants can be cumbersome if data is not given in a form amenable to particular analyses. Here we present BISQUE, a web server and customizable command-line tool for converting molecular identifiers and their contained loci and variants between different database conventions. BISQUE uses a graph traversal algorithm to generalize the conversion process for residues in the human genome, genes, transcripts and proteins, allowing for conversion across classes of molecules and in all directions through an intuitive web interface and a URL-based web service.
BISQUE is freely available via the web using any major web browser (http://bisque.yulab.org/). Source code is available in a public GitHub repository (https://github.com/hyulab/BISQUE).
haiyuan.yu@cornell.edu
Supplementary data are available at Bioinformatics online. |
doi_str_mv | 10.1093/bioinformatics/btw043 |
format | Article |
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BISQUE is freely available via the web using any major web browser (http://bisque.yulab.org/). Source code is available in a public GitHub repository (https://github.com/hyulab/BISQUE).
haiyuan.yu@cornell.edu
Supplementary data are available at Bioinformatics online.</description><identifier>ISSN: 1367-4803</identifier><identifier>EISSN: 1367-4811</identifier><identifier>EISSN: 1460-2059</identifier><identifier>DOI: 10.1093/bioinformatics/btw043</identifier><identifier>PMID: 26803163</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Applications Notes ; Bioinformatics ; Biological ; Conversion ; Converting ; Databases, Factual ; Genome ; Genomics ; Humans ; Loci ; Proteomics ; Software ; Source code ; Transcriptome ; Web Browser ; World Wide Web</subject><ispartof>Bioinformatics, 2016-05, Vol.32 (10), p.1598-1600</ispartof><rights>The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.</rights><rights>The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c477t-21bd8e3fba2e9dfdf3380fc3f5e21af0320fa36d9996a2aa901a4233840387403</citedby><cites>FETCH-LOGICAL-c477t-21bd8e3fba2e9dfdf3380fc3f5e21af0320fa36d9996a2aa901a4233840387403</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860404/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860404/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26803163$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Meyer, Michael J</creatorcontrib><creatorcontrib>Geske, Philip</creatorcontrib><creatorcontrib>Yu, Haiyuan</creatorcontrib><title>BISQUE: locus- and variant-specific conversion of genomic, transcriptomic and proteomic database identifiers</title><title>Bioinformatics</title><addtitle>Bioinformatics</addtitle><description>Biological sequence databases are integral to efforts to characterize and understand biological molecules and share biological data. However, when analyzing these data, scientists are often left holding disparate biological currency-molecular identifiers from different databases. For downstream applications that require converting the identifiers themselves, there are many resources available, but analyzing associated loci and variants can be cumbersome if data is not given in a form amenable to particular analyses. Here we present BISQUE, a web server and customizable command-line tool for converting molecular identifiers and their contained loci and variants between different database conventions. BISQUE uses a graph traversal algorithm to generalize the conversion process for residues in the human genome, genes, transcripts and proteins, allowing for conversion across classes of molecules and in all directions through an intuitive web interface and a URL-based web service.
BISQUE is freely available via the web using any major web browser (http://bisque.yulab.org/). Source code is available in a public GitHub repository (https://github.com/hyulab/BISQUE).
haiyuan.yu@cornell.edu
Supplementary data are available at Bioinformatics online.</description><subject>Applications Notes</subject><subject>Bioinformatics</subject><subject>Biological</subject><subject>Conversion</subject><subject>Converting</subject><subject>Databases, Factual</subject><subject>Genome</subject><subject>Genomics</subject><subject>Humans</subject><subject>Loci</subject><subject>Proteomics</subject><subject>Software</subject><subject>Source code</subject><subject>Transcriptome</subject><subject>Web Browser</subject><subject>World Wide Web</subject><issn>1367-4803</issn><issn>1367-4811</issn><issn>1460-2059</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkUFP3DAQha2KqsC2P6EoRw4NjOPEcXqoRBEtSEgVonu2Jo69uErs1PYu4t8TdmHF3vZie-z3Ps34EfKVwhmFhp231ltnfBgwWRXP2_QIJftAjijjdV4KSg-2Z2CH5DjGfwBQQcU_kcOCT5eUsyPS_7y5v5tffc96r5Yxz9B12QqDRZfyOGpljVWZ8m6lQ7TeZd5kC-38YNW3LAV0UQU7ppd6bR2DT3pddZiwxagz22mXJswE-Ew-Guyj_vK6z8j819Xfy-v89s_vm8uL21yVdZ3ygrad0My0WOimM51hTIBRzFS6oGiAFWCQ8a5pGo4FYgMUy2ISlcBEPS0z8mPDHZftoDs1NRCwl2OwA4Yn6dHK3RdnH-TCr2QlOJTTP87I6Ssg-P9LHZMcbFS679Fpv4ySiqIquShruocURA1VQ_eg1g0A5WJNrTZSFXyMQZtt8xTkS_5yN3-5yX_ynbyffOt6C5w9A69ws5U</recordid><startdate>20160515</startdate><enddate>20160515</enddate><creator>Meyer, Michael J</creator><creator>Geske, Philip</creator><creator>Yu, Haiyuan</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7QO</scope><scope>7TM</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7SC</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>5PM</scope></search><sort><creationdate>20160515</creationdate><title>BISQUE: locus- and variant-specific conversion of genomic, transcriptomic and proteomic database identifiers</title><author>Meyer, Michael J ; Geske, Philip ; Yu, Haiyuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c477t-21bd8e3fba2e9dfdf3380fc3f5e21af0320fa36d9996a2aa901a4233840387403</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Applications Notes</topic><topic>Bioinformatics</topic><topic>Biological</topic><topic>Conversion</topic><topic>Converting</topic><topic>Databases, Factual</topic><topic>Genome</topic><topic>Genomics</topic><topic>Humans</topic><topic>Loci</topic><topic>Proteomics</topic><topic>Software</topic><topic>Source code</topic><topic>Transcriptome</topic><topic>Web Browser</topic><topic>World Wide Web</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Meyer, Michael J</creatorcontrib><creatorcontrib>Geske, Philip</creatorcontrib><creatorcontrib>Yu, Haiyuan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Bioinformatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Meyer, Michael J</au><au>Geske, Philip</au><au>Yu, Haiyuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>BISQUE: locus- and variant-specific conversion of genomic, transcriptomic and proteomic database identifiers</atitle><jtitle>Bioinformatics</jtitle><addtitle>Bioinformatics</addtitle><date>2016-05-15</date><risdate>2016</risdate><volume>32</volume><issue>10</issue><spage>1598</spage><epage>1600</epage><pages>1598-1600</pages><issn>1367-4803</issn><eissn>1367-4811</eissn><eissn>1460-2059</eissn><abstract>Biological sequence databases are integral to efforts to characterize and understand biological molecules and share biological data. However, when analyzing these data, scientists are often left holding disparate biological currency-molecular identifiers from different databases. For downstream applications that require converting the identifiers themselves, there are many resources available, but analyzing associated loci and variants can be cumbersome if data is not given in a form amenable to particular analyses. Here we present BISQUE, a web server and customizable command-line tool for converting molecular identifiers and their contained loci and variants between different database conventions. BISQUE uses a graph traversal algorithm to generalize the conversion process for residues in the human genome, genes, transcripts and proteins, allowing for conversion across classes of molecules and in all directions through an intuitive web interface and a URL-based web service.
BISQUE is freely available via the web using any major web browser (http://bisque.yulab.org/). Source code is available in a public GitHub repository (https://github.com/hyulab/BISQUE).
haiyuan.yu@cornell.edu
Supplementary data are available at Bioinformatics online.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>26803163</pmid><doi>10.1093/bioinformatics/btw043</doi><tpages>3</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Applications Notes Bioinformatics Biological Conversion Converting Databases, Factual Genome Genomics Humans Loci Proteomics Software Source code Transcriptome Web Browser World Wide Web |
title | BISQUE: locus- and variant-specific conversion of genomic, transcriptomic and proteomic database identifiers |
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