Loading…
Tree Gibbs Sampler: identifying conserved motifs without aligning orthologous sequences
Tree Gibbs Sampler is a software for identifying motifs by simultaneously using the motif overrepresentation property and the motif evolutionary conservation property. It identifies motifs without depending on pre-aligned orthologous sequences, which makes it useful for the extraction of regulatory...
Saved in:
Published in: | Bioinformatics 2007-08, Vol.23 (15), p.2013-2014 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Request full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c521t-cbb0f3529f4be4969a1e623c3a5cd867c2b924e6d248181af77ea35fb902a37f3 |
---|---|
cites | cdi_FETCH-LOGICAL-c521t-cbb0f3529f4be4969a1e623c3a5cd867c2b924e6d248181af77ea35fb902a37f3 |
container_end_page | 2014 |
container_issue | 15 |
container_start_page | 2013 |
container_title | Bioinformatics |
container_volume | 23 |
creator | Cai, Xiaohui Hu, Haiyan Li, Xiaoman Shawn |
description | Tree Gibbs Sampler is a software for identifying motifs by simultaneously using the motif overrepresentation property and the motif evolutionary conservation property. It identifies motifs without depending on pre-aligned orthologous sequences, which makes it useful for the extraction of regulatory elements in multiple genomes of both closely related and distant species. Availability: The Tree Gibbs Sampler software is freely downloadable at https://compbio.iupui.edu/xiaomanli/LiSoftware/retrieve.php?ID=tgs Contact: shawnli@iupui.edu |
doi_str_mv | 10.1093/bioinformatics/btm282 |
format | article |
fullrecord | <record><control><sourceid>proquest_TOX</sourceid><recordid>TN_cdi_proquest_miscellaneous_68162779</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><oup_id>10.1093/bioinformatics/btm282</oup_id><sourcerecordid>1328102811</sourcerecordid><originalsourceid>FETCH-LOGICAL-c521t-cbb0f3529f4be4969a1e623c3a5cd867c2b924e6d248181af77ea35fb902a37f3</originalsourceid><addsrcrecordid>eNqNkUtv1TAQhSMEog_4CaAIie5C_XbMrirQIlUFictD3Vi2M764JPHFToD-e3zJFRVsYDWj0XdmzuhU1SOMnmGk6LENMYw-psFMweVjOw2kJXeqfcwEagji6m7pqZANaxHdqw5yvkaIY8bY_WoPS86QaPF-9XGVAOqzYG2u35lh00N6XocOxin4mzCuaxfHDOkbdPUQyyzX38P0Oc5TbfqwHrdETGXQx3Wcc53h6wyjg_yguudNn-Hhrh5W71-9XJ2eNxdvzl6fnlw0jhM8Nc5a5CknyjMLTAllMAhCHTXcda2QjlhFGIiOsBa32HgpwVDurULEUOnpYXW07N2kWE7nSQ8hO-h7M0IxpMuTgkip_gliJYliags--Qu8jnMayxOFaYWQrUQF4gvkUsw5gdebFAaTbjRGepuP_jMfveRTdI93y2c7QHer2gVSgKc7wGRnep_M6EK-5VqliPzlEi1cnDf_fbtZJCFP8OO3yKQvWkgquT7_dKVX_AO7fHv1Ql_Sn7rXwAQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>198667870</pqid></control><display><type>article</type><title>Tree Gibbs Sampler: identifying conserved motifs without aligning orthologous sequences</title><source>Oxford Open</source><creator>Cai, Xiaohui ; Hu, Haiyan ; Li, Xiaoman Shawn</creator><creatorcontrib>Cai, Xiaohui ; Hu, Haiyan ; Li, Xiaoman Shawn</creatorcontrib><description>Tree Gibbs Sampler is a software for identifying motifs by simultaneously using the motif overrepresentation property and the motif evolutionary conservation property. It identifies motifs without depending on pre-aligned orthologous sequences, which makes it useful for the extraction of regulatory elements in multiple genomes of both closely related and distant species. Availability: The Tree Gibbs Sampler software is freely downloadable at https://compbio.iupui.edu/xiaomanli/LiSoftware/retrieve.php?ID=tgs Contact: shawnli@iupui.edu</description><identifier>ISSN: 1367-4803</identifier><identifier>EISSN: 1460-2059</identifier><identifier>EISSN: 1367-4811</identifier><identifier>DOI: 10.1093/bioinformatics/btm282</identifier><identifier>PMID: 17540681</identifier><identifier>CODEN: BOINFP</identifier><language>eng</language><publisher>Oxford: Oxford University Press</publisher><subject>Algorithms ; Amino Acid Motifs - genetics ; Biological and medical sciences ; Conserved Sequence - genetics ; Evolution, Molecular ; Fundamental and applied biological sciences. Psychology ; General aspects ; Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) ; Proteins - genetics ; Sequence Alignment - methods ; Sequence Analysis, DNA - methods ; Sequence Homology, Nucleic Acid ; Software</subject><ispartof>Bioinformatics, 2007-08, Vol.23 (15), p.2013-2014</ispartof><rights>2007 The Author(s) 2007</rights><rights>2008 INIST-CNRS</rights><rights>2007 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c521t-cbb0f3529f4be4969a1e623c3a5cd867c2b924e6d248181af77ea35fb902a37f3</citedby><cites>FETCH-LOGICAL-c521t-cbb0f3529f4be4969a1e623c3a5cd867c2b924e6d248181af77ea35fb902a37f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,1598,27901,27902</link.rule.ids><linktorsrc>$$Uhttps://dx.doi.org/10.1093/bioinformatics/btm282$$EView_record_in_Oxford_University_Press$$FView_record_in_$$GOxford_University_Press</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18992799$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17540681$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cai, Xiaohui</creatorcontrib><creatorcontrib>Hu, Haiyan</creatorcontrib><creatorcontrib>Li, Xiaoman Shawn</creatorcontrib><title>Tree Gibbs Sampler: identifying conserved motifs without aligning orthologous sequences</title><title>Bioinformatics</title><addtitle>Bioinformatics</addtitle><description>Tree Gibbs Sampler is a software for identifying motifs by simultaneously using the motif overrepresentation property and the motif evolutionary conservation property. It identifies motifs without depending on pre-aligned orthologous sequences, which makes it useful for the extraction of regulatory elements in multiple genomes of both closely related and distant species. Availability: The Tree Gibbs Sampler software is freely downloadable at https://compbio.iupui.edu/xiaomanli/LiSoftware/retrieve.php?ID=tgs Contact: shawnli@iupui.edu</description><subject>Algorithms</subject><subject>Amino Acid Motifs - genetics</subject><subject>Biological and medical sciences</subject><subject>Conserved Sequence - genetics</subject><subject>Evolution, Molecular</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects</subject><subject>Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)</subject><subject>Proteins - genetics</subject><subject>Sequence Alignment - methods</subject><subject>Sequence Analysis, DNA - methods</subject><subject>Sequence Homology, Nucleic Acid</subject><subject>Software</subject><issn>1367-4803</issn><issn>1460-2059</issn><issn>1367-4811</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNqNkUtv1TAQhSMEog_4CaAIie5C_XbMrirQIlUFictD3Vi2M764JPHFToD-e3zJFRVsYDWj0XdmzuhU1SOMnmGk6LENMYw-psFMweVjOw2kJXeqfcwEagji6m7pqZANaxHdqw5yvkaIY8bY_WoPS86QaPF-9XGVAOqzYG2u35lh00N6XocOxin4mzCuaxfHDOkbdPUQyyzX38P0Oc5TbfqwHrdETGXQx3Wcc53h6wyjg_yguudNn-Hhrh5W71-9XJ2eNxdvzl6fnlw0jhM8Nc5a5CknyjMLTAllMAhCHTXcda2QjlhFGIiOsBa32HgpwVDurULEUOnpYXW07N2kWE7nSQ8hO-h7M0IxpMuTgkip_gliJYliags--Qu8jnMayxOFaYWQrUQF4gvkUsw5gdebFAaTbjRGepuP_jMfveRTdI93y2c7QHer2gVSgKc7wGRnep_M6EK-5VqliPzlEi1cnDf_fbtZJCFP8OO3yKQvWkgquT7_dKVX_AO7fHv1Ql_Sn7rXwAQ</recordid><startdate>20070801</startdate><enddate>20070801</enddate><creator>Cai, Xiaohui</creator><creator>Hu, Haiyan</creator><creator>Li, Xiaoman Shawn</creator><general>Oxford University Press</general><general>Oxford Publishing Limited (England)</general><scope>BSCLL</scope><scope>IQODW</scope><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></search><sort><creationdate>20070801</creationdate><title>Tree Gibbs Sampler: identifying conserved motifs without aligning orthologous sequences</title><author>Cai, Xiaohui ; Hu, Haiyan ; Li, Xiaoman Shawn</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c521t-cbb0f3529f4be4969a1e623c3a5cd867c2b924e6d248181af77ea35fb902a37f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Algorithms</topic><topic>Amino Acid Motifs - genetics</topic><topic>Biological and medical sciences</topic><topic>Conserved Sequence - genetics</topic><topic>Evolution, Molecular</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects</topic><topic>Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)</topic><topic>Proteins - genetics</topic><topic>Sequence Alignment - methods</topic><topic>Sequence Analysis, DNA - methods</topic><topic>Sequence Homology, Nucleic Acid</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cai, Xiaohui</creatorcontrib><creatorcontrib>Hu, Haiyan</creatorcontrib><creatorcontrib>Li, Xiaoman Shawn</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><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><jtitle>Bioinformatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Cai, Xiaohui</au><au>Hu, Haiyan</au><au>Li, Xiaoman Shawn</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tree Gibbs Sampler: identifying conserved motifs without aligning orthologous sequences</atitle><jtitle>Bioinformatics</jtitle><addtitle>Bioinformatics</addtitle><date>2007-08-01</date><risdate>2007</risdate><volume>23</volume><issue>15</issue><spage>2013</spage><epage>2014</epage><pages>2013-2014</pages><issn>1367-4803</issn><eissn>1460-2059</eissn><eissn>1367-4811</eissn><coden>BOINFP</coden><abstract>Tree Gibbs Sampler is a software for identifying motifs by simultaneously using the motif overrepresentation property and the motif evolutionary conservation property. It identifies motifs without depending on pre-aligned orthologous sequences, which makes it useful for the extraction of regulatory elements in multiple genomes of both closely related and distant species. Availability: The Tree Gibbs Sampler software is freely downloadable at https://compbio.iupui.edu/xiaomanli/LiSoftware/retrieve.php?ID=tgs Contact: shawnli@iupui.edu</abstract><cop>Oxford</cop><pub>Oxford University Press</pub><pmid>17540681</pmid><doi>10.1093/bioinformatics/btm282</doi><tpages>2</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1367-4803 |
ispartof | Bioinformatics, 2007-08, Vol.23 (15), p.2013-2014 |
issn | 1367-4803 1460-2059 1367-4811 |
language | eng |
recordid | cdi_proquest_miscellaneous_68162779 |
source | Oxford Open |
subjects | Algorithms Amino Acid Motifs - genetics Biological and medical sciences Conserved Sequence - genetics Evolution, Molecular Fundamental and applied biological sciences. Psychology General aspects Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Proteins - genetics Sequence Alignment - methods Sequence Analysis, DNA - methods Sequence Homology, Nucleic Acid Software |
title | Tree Gibbs Sampler: identifying conserved motifs without aligning orthologous sequences |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-22T18%3A57%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_TOX&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Tree%20Gibbs%20Sampler:%20identifying%20conserved%20motifs%20without%20aligning%20orthologous%20sequences&rft.jtitle=Bioinformatics&rft.au=Cai,%20Xiaohui&rft.date=2007-08-01&rft.volume=23&rft.issue=15&rft.spage=2013&rft.epage=2014&rft.pages=2013-2014&rft.issn=1367-4803&rft.eissn=1460-2059&rft.coden=BOINFP&rft_id=info:doi/10.1093/bioinformatics/btm282&rft_dat=%3Cproquest_TOX%3E1328102811%3C/proquest_TOX%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c521t-cbb0f3529f4be4969a1e623c3a5cd867c2b924e6d248181af77ea35fb902a37f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=198667870&rft_id=info:pmid/17540681&rft_oup_id=10.1093/bioinformatics/btm282&rfr_iscdi=true |