Visual Analysis of Multiple Probability Features of Bluetongue Virus Genome Sequence
The sequence of a gene determines its structure,and the structure of a gene reflects biological functional traits.Therefore,scientific data visualization of viral gene sequences has become one of the widely used methods.There is an increasing demand for visual manipulation of biological gene sequenc...
Gespeichert in:
| Veröffentlicht in: | Ji suan ji ke xue 2022-01, Vol.49, p.27 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | chi |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | 27 |
| container_title | Ji suan ji ke xue |
| container_volume | 49 |
| creator | Chen, Hui-pin Wang, Kun Yang, Heng Zheng, Zhi-jie |
| description | The sequence of a gene determines its structure,and the structure of a gene reflects biological functional traits.Therefore,scientific data visualization of viral gene sequences has become one of the widely used methods.There is an increasing demand for visual manipulation of biological gene sequences.Therefore,based on the most advanced bioinformatics analysis and hierarchical structured bioinformatics knowledge model,the method of multiple probability measures is proposed to statistically analyze the bluetongue virus gene sequence,and combined with computer visualization methods,the characteristics of the bluetongue virus under different projections are presented.Compared with traditional virus research methods,this method is intuitive and concise,and it is easy to use.This method provides rich visualization under different measurement coordinates,reflecting the classification characteristics of bluetongue virus.Results generated by this method are compared with the phylogenetic tree generated by traditiona |
| doi_str_mv | 10.11896/jsjkx.210300129 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_2676606209</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2676606209</sourcerecordid><originalsourceid>FETCH-proquest_journals_26766062093</originalsourceid><addsrcrecordid>eNqNzT0LwjAUheEMCoq6Owac1ZtUUjuq-LEIgiJuksqtpMZGcxPQf28Rf4Cc4V0eOIz1BYyEmGZqXFJ5e42kgARAyKzB2gJADkWSnlqsR2RykIma1BNtdjgaitryWaXtmwxxV_BttME8LPKdd7nOjTXhzVeoQ_T4BXMbMbjqGpEfjY_E11i5O_I9PiNWF-yyZqEtYe_XDhuslofFZvjwrhYUzqWLvn6ks1SpUqAkZMl_6gPzzUbx</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2676606209</pqid></control><display><type>article</type><title>Visual Analysis of Multiple Probability Features of Bluetongue Virus Genome Sequence</title><source>DOAJ Directory of Open Access Journals</source><creator>Chen, Hui-pin ; Wang, Kun ; Yang, Heng ; Zheng, Zhi-jie</creator><creatorcontrib>Chen, Hui-pin ; Wang, Kun ; Yang, Heng ; Zheng, Zhi-jie</creatorcontrib><description>The sequence of a gene determines its structure,and the structure of a gene reflects biological functional traits.Therefore,scientific data visualization of viral gene sequences has become one of the widely used methods.There is an increasing demand for visual manipulation of biological gene sequences.Therefore,based on the most advanced bioinformatics analysis and hierarchical structured bioinformatics knowledge model,the method of multiple probability measures is proposed to statistically analyze the bluetongue virus gene sequence,and combined with computer visualization methods,the characteristics of the bluetongue virus under different projections are presented.Compared with traditional virus research methods,this method is intuitive and concise,and it is easy to use.This method provides rich visualization under different measurement coordinates,reflecting the classification characteristics of bluetongue virus.Results generated by this method are compared with the phylogenetic tree generated by traditiona</description><identifier>ISSN: 1002-137X</identifier><identifier>DOI: 10.11896/jsjkx.210300129</identifier><language>chi</language><publisher>Chongqing: Guojia Kexue Jishu Bu</publisher><subject>Bioinformatics ; Computer viruses ; Gene sequencing ; Homology ; Methods ; Scientific visualization ; Structural hierarchy ; Visualization</subject><ispartof>Ji suan ji ke xue, 2022-01, Vol.49, p.27</ispartof><rights>Copyright Guojia Kexue Jishu Bu 2022</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,27923,27924</link.rule.ids></links><search><creatorcontrib>Chen, Hui-pin</creatorcontrib><creatorcontrib>Wang, Kun</creatorcontrib><creatorcontrib>Yang, Heng</creatorcontrib><creatorcontrib>Zheng, Zhi-jie</creatorcontrib><title>Visual Analysis of Multiple Probability Features of Bluetongue Virus Genome Sequence</title><title>Ji suan ji ke xue</title><description>The sequence of a gene determines its structure,and the structure of a gene reflects biological functional traits.Therefore,scientific data visualization of viral gene sequences has become one of the widely used methods.There is an increasing demand for visual manipulation of biological gene sequences.Therefore,based on the most advanced bioinformatics analysis and hierarchical structured bioinformatics knowledge model,the method of multiple probability measures is proposed to statistically analyze the bluetongue virus gene sequence,and combined with computer visualization methods,the characteristics of the bluetongue virus under different projections are presented.Compared with traditional virus research methods,this method is intuitive and concise,and it is easy to use.This method provides rich visualization under different measurement coordinates,reflecting the classification characteristics of bluetongue virus.Results generated by this method are compared with the phylogenetic tree generated by traditiona</description><subject>Bioinformatics</subject><subject>Computer viruses</subject><subject>Gene sequencing</subject><subject>Homology</subject><subject>Methods</subject><subject>Scientific visualization</subject><subject>Structural hierarchy</subject><subject>Visualization</subject><issn>1002-137X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqNzT0LwjAUheEMCoq6Owac1ZtUUjuq-LEIgiJuksqtpMZGcxPQf28Rf4Cc4V0eOIz1BYyEmGZqXFJ5e42kgARAyKzB2gJADkWSnlqsR2RykIma1BNtdjgaitryWaXtmwxxV_BttME8LPKdd7nOjTXhzVeoQ_T4BXMbMbjqGpEfjY_E11i5O_I9PiNWF-yyZqEtYe_XDhuslofFZvjwrhYUzqWLvn6ks1SpUqAkZMl_6gPzzUbx</recordid><startdate>20220101</startdate><enddate>20220101</enddate><creator>Chen, Hui-pin</creator><creator>Wang, Kun</creator><creator>Yang, Heng</creator><creator>Zheng, Zhi-jie</creator><general>Guojia Kexue Jishu Bu</general><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20220101</creationdate><title>Visual Analysis of Multiple Probability Features of Bluetongue Virus Genome Sequence</title><author>Chen, Hui-pin ; Wang, Kun ; Yang, Heng ; Zheng, Zhi-jie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_26766062093</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>chi</language><creationdate>2022</creationdate><topic>Bioinformatics</topic><topic>Computer viruses</topic><topic>Gene sequencing</topic><topic>Homology</topic><topic>Methods</topic><topic>Scientific visualization</topic><topic>Structural hierarchy</topic><topic>Visualization</topic><toplevel>online_resources</toplevel><creatorcontrib>Chen, Hui-pin</creatorcontrib><creatorcontrib>Wang, Kun</creatorcontrib><creatorcontrib>Yang, Heng</creatorcontrib><creatorcontrib>Zheng, Zhi-jie</creatorcontrib><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</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><jtitle>Ji suan ji ke xue</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Hui-pin</au><au>Wang, Kun</au><au>Yang, Heng</au><au>Zheng, Zhi-jie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Visual Analysis of Multiple Probability Features of Bluetongue Virus Genome Sequence</atitle><jtitle>Ji suan ji ke xue</jtitle><date>2022-01-01</date><risdate>2022</risdate><volume>49</volume><spage>27</spage><pages>27-</pages><issn>1002-137X</issn><abstract>The sequence of a gene determines its structure,and the structure of a gene reflects biological functional traits.Therefore,scientific data visualization of viral gene sequences has become one of the widely used methods.There is an increasing demand for visual manipulation of biological gene sequences.Therefore,based on the most advanced bioinformatics analysis and hierarchical structured bioinformatics knowledge model,the method of multiple probability measures is proposed to statistically analyze the bluetongue virus gene sequence,and combined with computer visualization methods,the characteristics of the bluetongue virus under different projections are presented.Compared with traditional virus research methods,this method is intuitive and concise,and it is easy to use.This method provides rich visualization under different measurement coordinates,reflecting the classification characteristics of bluetongue virus.Results generated by this method are compared with the phylogenetic tree generated by traditiona</abstract><cop>Chongqing</cop><pub>Guojia Kexue Jishu Bu</pub><doi>10.11896/jsjkx.210300129</doi></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1002-137X |
| ispartof | Ji suan ji ke xue, 2022-01, Vol.49, p.27 |
| issn | 1002-137X |
| language | chi |
| recordid | cdi_proquest_journals_2676606209 |
| source | DOAJ Directory of Open Access Journals |
| subjects | Bioinformatics Computer viruses Gene sequencing Homology Methods Scientific visualization Structural hierarchy Visualization |
| title | Visual Analysis of Multiple Probability Features of Bluetongue Virus Genome Sequence |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T15%3A30%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Visual%20Analysis%20of%20Multiple%20Probability%20Features%20of%20Bluetongue%20Virus%20Genome%20Sequence&rft.jtitle=Ji%20suan%20ji%20ke%20xue&rft.au=Chen,%20Hui-pin&rft.date=2022-01-01&rft.volume=49&rft.spage=27&rft.pages=27-&rft.issn=1002-137X&rft_id=info:doi/10.11896/jsjkx.210300129&rft_dat=%3Cproquest%3E2676606209%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2676606209&rft_id=info:pmid/&rfr_iscdi=true |