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Quantification of aneuploidy in targeted sequencing data using ASCETS
Abstract Summary The expansion of targeted panel sequencing efforts has created opportunities for large-scale genomic analysis, but tools for copy-number quantification on panel data are lacking. We introduce ASCETS, a method for the efficient quantitation of arm and chromosome-level copy-number cha...
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Published in: | Bioinformatics (Oxford, England) England), 2021-08, Vol.37 (16), p.2461-2463 |
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container_title | Bioinformatics (Oxford, England) |
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creator | Spurr, Liam F Touat, Mehdi Taylor, Alison M Dubuc, Adrian M Shih, Juliann Meredith, David M Pisano, William V Meyerson, Matthew L Ligon, Keith L Cherniack, Andrew D Li, Yvonne Y Beroukhim, Rameen |
description | Abstract
Summary
The expansion of targeted panel sequencing efforts has created opportunities for large-scale genomic analysis, but tools for copy-number quantification on panel data are lacking. We introduce ASCETS, a method for the efficient quantitation of arm and chromosome-level copy-number changes from targeted sequencing data.
Availability and implementation
ASCETS is implemented in R and is freely available to non-commercial users on GitHub: https://github.com/beroukhim-lab/ascets, along with detailed documentation.
Supplementary information
Supplementary data are available at Bioinformatics online. |
doi_str_mv | 10.1093/bioinformatics/btaa980 |
format | article |
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Summary
The expansion of targeted panel sequencing efforts has created opportunities for large-scale genomic analysis, but tools for copy-number quantification on panel data are lacking. We introduce ASCETS, a method for the efficient quantitation of arm and chromosome-level copy-number changes from targeted sequencing data.
Availability and implementation
ASCETS is implemented in R and is freely available to non-commercial users on GitHub: https://github.com/beroukhim-lab/ascets, along with detailed documentation.
Supplementary information
Supplementary data are available at Bioinformatics online.</description><identifier>ISSN: 1367-4803</identifier><identifier>EISSN: 1367-4811</identifier><identifier>DOI: 10.1093/bioinformatics/btaa980</identifier><identifier>PMID: 33247715</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Aneuploidy ; Applications Notes ; Availability ; Bioinformatics ; Documentation ; Genome ; Genomic analysis ; Genomics ; Human health and pathology ; Humans ; Life Sciences ; Sequences ; Software</subject><ispartof>Bioinformatics (Oxford, England), 2021-08, Vol.37 (16), p.2461-2463</ispartof><rights>The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com 2020</rights><rights>The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.</rights><rights>The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c518t-d1131538a66603e0d82d33879babd84cfbbcd84ff536581960b78246f388b1203</citedby><cites>FETCH-LOGICAL-c518t-d1131538a66603e0d82d33879babd84cfbbcd84ff536581960b78246f388b1203</cites><orcidid>0000-0001-6465-7739 ; 0000-0002-7054-8624</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8388019/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8388019/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,1604,27924,27925,53791,53793</link.rule.ids><linktorsrc>$$Uhttps://dx.doi.org/10.1093/bioinformatics/btaa980$$EView_record_in_Oxford_University_Press$$FView_record_in_$$GOxford_University_Press</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33247715$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-04566183$$DView record in HAL$$Hfree_for_read</backlink></links><search><contributor>Robinson, Peter</contributor><creatorcontrib>Spurr, Liam F</creatorcontrib><creatorcontrib>Touat, Mehdi</creatorcontrib><creatorcontrib>Taylor, Alison M</creatorcontrib><creatorcontrib>Dubuc, Adrian M</creatorcontrib><creatorcontrib>Shih, Juliann</creatorcontrib><creatorcontrib>Meredith, David M</creatorcontrib><creatorcontrib>Pisano, William V</creatorcontrib><creatorcontrib>Meyerson, Matthew L</creatorcontrib><creatorcontrib>Ligon, Keith L</creatorcontrib><creatorcontrib>Cherniack, Andrew D</creatorcontrib><creatorcontrib>Li, Yvonne Y</creatorcontrib><creatorcontrib>Beroukhim, Rameen</creatorcontrib><title>Quantification of aneuploidy in targeted sequencing data using ASCETS</title><title>Bioinformatics (Oxford, England)</title><addtitle>Bioinformatics</addtitle><description>Abstract
Summary
The expansion of targeted panel sequencing efforts has created opportunities for large-scale genomic analysis, but tools for copy-number quantification on panel data are lacking. We introduce ASCETS, a method for the efficient quantitation of arm and chromosome-level copy-number changes from targeted sequencing data.
Availability and implementation
ASCETS is implemented in R and is freely available to non-commercial users on GitHub: https://github.com/beroukhim-lab/ascets, along with detailed documentation.
Supplementary information
Supplementary data are available at Bioinformatics online.</description><subject>Aneuploidy</subject><subject>Applications Notes</subject><subject>Availability</subject><subject>Bioinformatics</subject><subject>Documentation</subject><subject>Genome</subject><subject>Genomic analysis</subject><subject>Genomics</subject><subject>Human health and pathology</subject><subject>Humans</subject><subject>Life Sciences</subject><subject>Sequences</subject><subject>Software</subject><issn>1367-4803</issn><issn>1367-4811</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqNUU1rGzEQFSUh338hLPSSHtxoViut9lIwxk0ChlCSnoWklRyFteRK2kD-fWTsmCSnnmaQ3nvzZh5Cl4B_Au7ItXLBeRviSman07XKUnYcf0MnQFg7aTjAwb7H5BidpvSMMaaYsiN0TEjdtC3QEzT_M0qfnXW6CAVfBVtJb8b1EFz_WjlfZRmXJpu-SubfaLx2fln1MstqTJt2-jCbPz6co0Mrh2QudvUM_f09f5zdThb3N3ez6WKiKfA86QEIUMIlYwwTg3te94TwtlNS9bzRVildqrWUMMqhY1i1vG6YJZwrqDE5Q7-2uutRrUyvjc9RDmId3UrGVxGkE59_vHsSy_AieFHA0BWBH1uBpy-02-lCbN5wQxkDTl6gYK92w2Ioq6csVi5pMwzlQGFMohijTdN0lBTo9y_Q5zBGX04hCNS83J2yjXu2RekYUorG7h0AFptUxedUxS7VQrz8uPae9h5jAcAWEMb1_4q-AQgitDI</recordid><startdate>20210815</startdate><enddate>20210815</enddate><creator>Spurr, Liam F</creator><creator>Touat, Mehdi</creator><creator>Taylor, Alison M</creator><creator>Dubuc, Adrian M</creator><creator>Shih, Juliann</creator><creator>Meredith, David M</creator><creator>Pisano, William V</creator><creator>Meyerson, Matthew L</creator><creator>Ligon, Keith L</creator><creator>Cherniack, Andrew D</creator><creator>Li, Yvonne Y</creator><creator>Beroukhim, Rameen</creator><general>Oxford University Press</general><general>Oxford Publishing Limited (England)</general><general>Oxford University Press (OUP)</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>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7TM</scope><scope>7TO</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>H94</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>7X8</scope><scope>1XC</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6465-7739</orcidid><orcidid>https://orcid.org/0000-0002-7054-8624</orcidid></search><sort><creationdate>20210815</creationdate><title>Quantification of aneuploidy in targeted sequencing data using ASCETS</title><author>Spurr, Liam F ; Touat, Mehdi ; Taylor, Alison M ; Dubuc, Adrian M ; Shih, Juliann ; Meredith, David M ; Pisano, William V ; Meyerson, Matthew L ; Ligon, Keith L ; Cherniack, Andrew D ; Li, Yvonne Y ; Beroukhim, Rameen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c518t-d1131538a66603e0d82d33879babd84cfbbcd84ff536581960b78246f388b1203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Aneuploidy</topic><topic>Applications Notes</topic><topic>Availability</topic><topic>Bioinformatics</topic><topic>Documentation</topic><topic>Genome</topic><topic>Genomic analysis</topic><topic>Genomics</topic><topic>Human health and pathology</topic><topic>Humans</topic><topic>Life Sciences</topic><topic>Sequences</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Spurr, Liam F</creatorcontrib><creatorcontrib>Touat, Mehdi</creatorcontrib><creatorcontrib>Taylor, Alison M</creatorcontrib><creatorcontrib>Dubuc, Adrian M</creatorcontrib><creatorcontrib>Shih, Juliann</creatorcontrib><creatorcontrib>Meredith, David M</creatorcontrib><creatorcontrib>Pisano, William V</creatorcontrib><creatorcontrib>Meyerson, Matthew L</creatorcontrib><creatorcontrib>Ligon, Keith L</creatorcontrib><creatorcontrib>Cherniack, Andrew D</creatorcontrib><creatorcontrib>Li, Yvonne Y</creatorcontrib><creatorcontrib>Beroukhim, Rameen</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Civil Engineering Abstracts</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>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Bioinformatics (Oxford, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Spurr, Liam F</au><au>Touat, Mehdi</au><au>Taylor, Alison M</au><au>Dubuc, Adrian M</au><au>Shih, Juliann</au><au>Meredith, David M</au><au>Pisano, William V</au><au>Meyerson, Matthew L</au><au>Ligon, Keith L</au><au>Cherniack, Andrew D</au><au>Li, Yvonne Y</au><au>Beroukhim, Rameen</au><au>Robinson, Peter</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantification of aneuploidy in targeted sequencing data using ASCETS</atitle><jtitle>Bioinformatics (Oxford, England)</jtitle><addtitle>Bioinformatics</addtitle><date>2021-08-15</date><risdate>2021</risdate><volume>37</volume><issue>16</issue><spage>2461</spage><epage>2463</epage><pages>2461-2463</pages><issn>1367-4803</issn><eissn>1367-4811</eissn><abstract>Abstract
Summary
The expansion of targeted panel sequencing efforts has created opportunities for large-scale genomic analysis, but tools for copy-number quantification on panel data are lacking. We introduce ASCETS, a method for the efficient quantitation of arm and chromosome-level copy-number changes from targeted sequencing data.
Availability and implementation
ASCETS is implemented in R and is freely available to non-commercial users on GitHub: https://github.com/beroukhim-lab/ascets, along with detailed documentation.
Supplementary information
Supplementary data are available at Bioinformatics online.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>33247715</pmid><doi>10.1093/bioinformatics/btaa980</doi><tpages>3</tpages><orcidid>https://orcid.org/0000-0001-6465-7739</orcidid><orcidid>https://orcid.org/0000-0002-7054-8624</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aneuploidy Applications Notes Availability Bioinformatics Documentation Genome Genomic analysis Genomics Human health and pathology Humans Life Sciences Sequences Software |
title | Quantification of aneuploidy in targeted sequencing data using ASCETS |
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