AnnotSV: an integrated tool for structural variations annotation
Abstract Summary Structural Variations (SV) are a major source of variability in the human genome that shaped its actual structure during evolution. Moreover, many human diseases are caused by SV, highlighting the need to accurately detect those genomic events but also to annotate them and assist th...
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Veröffentlicht in: | Bioinformatics 2018-10, Vol.34 (20), p.3572-3574 |
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creator | Geoffroy, Véronique Herenger, Yvan Kress, Arnaud Stoetzel, Corinne Piton, Amélie Dollfus, Hélène Muller, Jean |
description | Abstract
Summary
Structural Variations (SV) are a major source of variability in the human genome that shaped its actual structure during evolution. Moreover, many human diseases are caused by SV, highlighting the need to accurately detect those genomic events but also to annotate them and assist their biological interpretation. Therefore, we developed AnnotSV that compiles functionally, regulatory and clinically relevant information and aims at providing annotations useful to (i) interpret SV potential pathogenicity and (ii) filter out SV potential false positive. In particular, AnnotSV reports heterozygous and homozygous counts of single nucleotide variations (SNVs) and small insertions/deletions called within each SV for the analyzed patients, this genomic information being extremely useful to support or question the existence of an SV. We also report the computed allelic frequency relative to overlapping variants from DGV (MacDonald et al., 2014), that is especially powerful to filter out common SV. To delineate the strength of AnnotSV, we annotated the 4751 SV from one sample of the 1000 Genomes Project, integrating the sample information of four million of SNV/indel, in less than 60 s.
Availability and implementation
AnnotSV is implemented in Tcl and runs in command line on all platforms. The source code is available under the GNU GPL license. Source code, README and Supplementary data are available at http://lbgi.fr/AnnotSV/.
Supplementary information
Supplementary data are available at Bioinformatics online. |
doi_str_mv | 10.1093/bioinformatics/bty304 |
format | Article |
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Summary
Structural Variations (SV) are a major source of variability in the human genome that shaped its actual structure during evolution. Moreover, many human diseases are caused by SV, highlighting the need to accurately detect those genomic events but also to annotate them and assist their biological interpretation. Therefore, we developed AnnotSV that compiles functionally, regulatory and clinically relevant information and aims at providing annotations useful to (i) interpret SV potential pathogenicity and (ii) filter out SV potential false positive. In particular, AnnotSV reports heterozygous and homozygous counts of single nucleotide variations (SNVs) and small insertions/deletions called within each SV for the analyzed patients, this genomic information being extremely useful to support or question the existence of an SV. We also report the computed allelic frequency relative to overlapping variants from DGV (MacDonald et al., 2014), that is especially powerful to filter out common SV. To delineate the strength of AnnotSV, we annotated the 4751 SV from one sample of the 1000 Genomes Project, integrating the sample information of four million of SNV/indel, in less than 60 s.
Availability and implementation
AnnotSV is implemented in Tcl and runs in command line on all platforms. The source code is available under the GNU GPL license. Source code, README and Supplementary data are available at http://lbgi.fr/AnnotSV/.
Supplementary information
Supplementary data are available at Bioinformatics online.</description><identifier>ISSN: 1367-4803</identifier><identifier>EISSN: 1460-2059</identifier><identifier>EISSN: 1367-4811</identifier><identifier>DOI: 10.1093/bioinformatics/bty304</identifier><identifier>PMID: 29669011</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Artificial Intelligence ; Computer Science</subject><ispartof>Bioinformatics, 2018-10, Vol.34 (20), p.3572-3574</ispartof><rights>The Author(s) 2018. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com 2018</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-c497t-a91e433ddf55b9250c847cc4c00c4e8467788e2f0d8f81a0458116e6499975c03</citedby><cites>FETCH-LOGICAL-c497t-a91e433ddf55b9250c847cc4c00c4e8467788e2f0d8f81a0458116e6499975c03</cites><orcidid>0000-0002-4149-0857 ; 0000-0002-7682-559X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,1598,27901,27902</link.rule.ids><linktorsrc>$$Uhttps://dx.doi.org/10.1093/bioinformatics/bty304$$EView_record_in_Oxford_University_Press$$FView_record_in_$$GOxford_University_Press</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29669011$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-03663159$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Geoffroy, Véronique</creatorcontrib><creatorcontrib>Herenger, Yvan</creatorcontrib><creatorcontrib>Kress, Arnaud</creatorcontrib><creatorcontrib>Stoetzel, Corinne</creatorcontrib><creatorcontrib>Piton, Amélie</creatorcontrib><creatorcontrib>Dollfus, Hélène</creatorcontrib><creatorcontrib>Muller, Jean</creatorcontrib><title>AnnotSV: an integrated tool for structural variations annotation</title><title>Bioinformatics</title><addtitle>Bioinformatics</addtitle><description>Abstract
Summary
Structural Variations (SV) are a major source of variability in the human genome that shaped its actual structure during evolution. Moreover, many human diseases are caused by SV, highlighting the need to accurately detect those genomic events but also to annotate them and assist their biological interpretation. Therefore, we developed AnnotSV that compiles functionally, regulatory and clinically relevant information and aims at providing annotations useful to (i) interpret SV potential pathogenicity and (ii) filter out SV potential false positive. In particular, AnnotSV reports heterozygous and homozygous counts of single nucleotide variations (SNVs) and small insertions/deletions called within each SV for the analyzed patients, this genomic information being extremely useful to support or question the existence of an SV. We also report the computed allelic frequency relative to overlapping variants from DGV (MacDonald et al., 2014), that is especially powerful to filter out common SV. To delineate the strength of AnnotSV, we annotated the 4751 SV from one sample of the 1000 Genomes Project, integrating the sample information of four million of SNV/indel, in less than 60 s.
Availability and implementation
AnnotSV is implemented in Tcl and runs in command line on all platforms. The source code is available under the GNU GPL license. Source code, README and Supplementary data are available at http://lbgi.fr/AnnotSV/.
Supplementary information
Supplementary data are available at Bioinformatics online.</description><subject>Artificial Intelligence</subject><subject>Computer Science</subject><issn>1367-4803</issn><issn>1460-2059</issn><issn>1367-4811</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqNkEtLAzEUhYMoWh8_QZmlLsbeTB6TuLIUtULBhY9tSDMZHZlOapIp9N-bOiq4c3UPl--cAwehUwyXGCQZLxrXdLXzSx0bE8aLuCFAd9AIUw55AUzuJk14mVMB5AAdhvAOwDCldB8dFJJzCRiP0PWk61x8fLnKdJc1XbSvXkdbZdG5NkvxWYi-N7H3us3W2jepzXUhwcn1pY_RXq3bYE--7xF6vr15ms7y-cPd_XQyzw2VZcy1xJYSUlU1YwtZMDCClsZQA2CoFZSXpRC2qKEStcAaKBMYc8uplLJkBsgRuhhy33SrVr5Zar9RTjdqNpmr7Q8I5wQzucaJPR_YlXcfvQ1RLZtgbNvqzro-qAKKkgnOizKhbECNdyF4W_9mY1DbodXfodUwdPKdfVf0i6Wtfl0_yyYABsD1q39mfgKELY8H</recordid><startdate>20181015</startdate><enddate>20181015</enddate><creator>Geoffroy, Véronique</creator><creator>Herenger, Yvan</creator><creator>Kress, Arnaud</creator><creator>Stoetzel, Corinne</creator><creator>Piton, Amélie</creator><creator>Dollfus, Hélène</creator><creator>Muller, Jean</creator><general>Oxford University Press</general><general>Oxford University Press (OUP)</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-4149-0857</orcidid><orcidid>https://orcid.org/0000-0002-7682-559X</orcidid></search><sort><creationdate>20181015</creationdate><title>AnnotSV: an integrated tool for structural variations annotation</title><author>Geoffroy, Véronique ; Herenger, Yvan ; Kress, Arnaud ; Stoetzel, Corinne ; Piton, Amélie ; Dollfus, Hélène ; Muller, Jean</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c497t-a91e433ddf55b9250c847cc4c00c4e8467788e2f0d8f81a0458116e6499975c03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Artificial Intelligence</topic><topic>Computer Science</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Geoffroy, Véronique</creatorcontrib><creatorcontrib>Herenger, Yvan</creatorcontrib><creatorcontrib>Kress, Arnaud</creatorcontrib><creatorcontrib>Stoetzel, Corinne</creatorcontrib><creatorcontrib>Piton, Amélie</creatorcontrib><creatorcontrib>Dollfus, Hélène</creatorcontrib><creatorcontrib>Muller, Jean</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Bioinformatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Geoffroy, Véronique</au><au>Herenger, Yvan</au><au>Kress, Arnaud</au><au>Stoetzel, Corinne</au><au>Piton, Amélie</au><au>Dollfus, Hélène</au><au>Muller, Jean</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>AnnotSV: an integrated tool for structural variations annotation</atitle><jtitle>Bioinformatics</jtitle><addtitle>Bioinformatics</addtitle><date>2018-10-15</date><risdate>2018</risdate><volume>34</volume><issue>20</issue><spage>3572</spage><epage>3574</epage><pages>3572-3574</pages><issn>1367-4803</issn><eissn>1460-2059</eissn><eissn>1367-4811</eissn><abstract>Abstract
Summary
Structural Variations (SV) are a major source of variability in the human genome that shaped its actual structure during evolution. Moreover, many human diseases are caused by SV, highlighting the need to accurately detect those genomic events but also to annotate them and assist their biological interpretation. Therefore, we developed AnnotSV that compiles functionally, regulatory and clinically relevant information and aims at providing annotations useful to (i) interpret SV potential pathogenicity and (ii) filter out SV potential false positive. In particular, AnnotSV reports heterozygous and homozygous counts of single nucleotide variations (SNVs) and small insertions/deletions called within each SV for the analyzed patients, this genomic information being extremely useful to support or question the existence of an SV. We also report the computed allelic frequency relative to overlapping variants from DGV (MacDonald et al., 2014), that is especially powerful to filter out common SV. To delineate the strength of AnnotSV, we annotated the 4751 SV from one sample of the 1000 Genomes Project, integrating the sample information of four million of SNV/indel, in less than 60 s.
Availability and implementation
AnnotSV is implemented in Tcl and runs in command line on all platforms. The source code is available under the GNU GPL license. Source code, README and Supplementary data are available at http://lbgi.fr/AnnotSV/.
Supplementary information
Supplementary data are available at Bioinformatics online.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>29669011</pmid><doi>10.1093/bioinformatics/bty304</doi><tpages>3</tpages><orcidid>https://orcid.org/0000-0002-4149-0857</orcidid><orcidid>https://orcid.org/0000-0002-7682-559X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Artificial Intelligence Computer Science |
title | AnnotSV: an integrated tool for structural variations annotation |
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