Exploring Williams–Beuren syndrome using myGrid
Motivation: In silico experiments necessitate the virtual organization of people, data, tools and machines. The scientific process also necessitates an awareness of the experience base, both of personal data as well as the wider context of work. The management of all these data and the co-ordination...
Gespeichert in:
Veröffentlicht in: | Bioinformatics 2004-08, Vol.20 (suppl-1), p.i303-i310 |
---|---|
Hauptverfasser: | , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | i310 |
---|---|
container_issue | suppl-1 |
container_start_page | i303 |
container_title | Bioinformatics |
container_volume | 20 |
creator | Stevens, R. D. Tipney, H. J. Wroe, C. J. Oinn, T. M. Senger, M. Lord, P. W. Goble, C. A. Brass, A. Tassabehji, M. |
description | Motivation: In silico experiments necessitate the virtual organization of people, data, tools and machines. The scientific process also necessitates an awareness of the experience base, both of personal data as well as the wider context of work. The management of all these data and the co-ordination of resources to manage such virtual organizations and the data surrounding them needs significant computational infra-structure support. Results: In this paper, we show that myGrid, middleware for the Semantic Grid, enables biologists to perform and manage in silico experiments, then explore and exploit the results of their experiments. We demonstrate myGrid in the context of a series of bioinformatics experiments focused on a 1.5 Mb region on chromosome 7 which is deleted in Williams–Beuren syndrome (WBS). Due to the highly repetitive nature of sequence flanking/in the WBS critical region (WBSCR), sequencing of the region is incomplete leaving documented gaps in the released sequence. myGrid was used in a series of experiments to find newly sequenced human genomic DNA clones that extended into these ‘gap’ regions in order to produce a complete and accurate map of the WBSCR. Once placed in this region, these DNA sequences were analysed with a battery of prediction tools in order to locate putative genes and regulatory elements possibly implicated in the disorder. Finally, any genes discovered were submitted to a range of standard bioinformatics tools for their characterization. We report how myGrid has been used to create workflows for these in silico experiments, run those workflows regularly and notify the biologist when new DNA and genes are discovered. The myGrid services collect and co-ordinate data inputs and outputs for the experiment, as well as much provenance information about the performance of experiments on WBS. Availability: The myGrid software is available via http://www.mygrid.org.uk |
doi_str_mv | 10.1093/bioinformatics/bth944 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_66722958</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>66722958</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2173-7d1946c98a8105587a00a4bffa9d2d10cc60fa79e54b3d36d233903e1040d16e3</originalsourceid><addsrcrecordid>eNpdkMtKBDEQRYMoPkY_QRlcuGunKq_uLHV8I-hCUdyEdCet0X6MyTQ4O__BP_RLbJlB0VUV1LmX4hCyjbCPoNgo961vyjbUZuqLOMqnT4rzJbKOXEJCQajlfmcyTXgGbI1sxPgMIJBzvkrWUFBJM2TrBI_fJlUbfPM4vPNV5U0dP98_Dl0XXDOMs8aGtnbDLn4D9ew0eLtJVkpTRbe1mANye3J8Mz5LLq9Oz8cHl0lBMWVJalFxWajMZAhCZKkBMDwvS6MstQhFIaE0qXKC58wyaSljCphD4GBROjYge_PeSWhfOxenuvaxcFVlGtd2UUuZUqpE1oO7_8DntgtN_5tGlUmJSLGHxBwqQhtjcKWeBF-bMNMI-luo_itUz4X2uZ1FeZfXzv6mFgZ7IJkDPk7d28_dhBctU5YKfXb_oA-Prm8uBKIG9gUGVoV7</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>198661121</pqid></control><display><type>article</type><title>Exploring Williams–Beuren syndrome using myGrid</title><source>MEDLINE</source><source>Oxford Journals Open Access Collection</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>Stevens, R. D. ; Tipney, H. J. ; Wroe, C. J. ; Oinn, T. M. ; Senger, M. ; Lord, P. W. ; Goble, C. A. ; Brass, A. ; Tassabehji, M.</creator><creatorcontrib>Stevens, R. D. ; Tipney, H. J. ; Wroe, C. J. ; Oinn, T. M. ; Senger, M. ; Lord, P. W. ; Goble, C. A. ; Brass, A. ; Tassabehji, M.</creatorcontrib><description>Motivation: In silico experiments necessitate the virtual organization of people, data, tools and machines. The scientific process also necessitates an awareness of the experience base, both of personal data as well as the wider context of work. The management of all these data and the co-ordination of resources to manage such virtual organizations and the data surrounding them needs significant computational infra-structure support. Results: In this paper, we show that myGrid, middleware for the Semantic Grid, enables biologists to perform and manage in silico experiments, then explore and exploit the results of their experiments. We demonstrate myGrid in the context of a series of bioinformatics experiments focused on a 1.5 Mb region on chromosome 7 which is deleted in Williams–Beuren syndrome (WBS). Due to the highly repetitive nature of sequence flanking/in the WBS critical region (WBSCR), sequencing of the region is incomplete leaving documented gaps in the released sequence. myGrid was used in a series of experiments to find newly sequenced human genomic DNA clones that extended into these ‘gap’ regions in order to produce a complete and accurate map of the WBSCR. Once placed in this region, these DNA sequences were analysed with a battery of prediction tools in order to locate putative genes and regulatory elements possibly implicated in the disorder. Finally, any genes discovered were submitted to a range of standard bioinformatics tools for their characterization. We report how myGrid has been used to create workflows for these in silico experiments, run those workflows regularly and notify the biologist when new DNA and genes are discovered. The myGrid services collect and co-ordinate data inputs and outputs for the experiment, as well as much provenance information about the performance of experiments on WBS. Availability: The myGrid software is available via http://www.mygrid.org.uk</description><identifier>ISSN: 1367-4803</identifier><identifier>EISSN: 1460-2059</identifier><identifier>EISSN: 1367-4811</identifier><identifier>DOI: 10.1093/bioinformatics/bth944</identifier><identifier>PMID: 15262813</identifier><identifier>CODEN: BOINFP</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Algorithms ; Chromosome Mapping - methods ; Computer Graphics ; Genetic Predisposition to Disease - genetics ; Internet ; Sequence Analysis, DNA - methods ; Software ; User-Computer Interface ; Williams Syndrome - genetics</subject><ispartof>Bioinformatics, 2004-08, Vol.20 (suppl-1), p.i303-i310</ispartof><rights>Copyright Oxford Publishing Limited(England) Aug 4 2004</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2173-7d1946c98a8105587a00a4bffa9d2d10cc60fa79e54b3d36d233903e1040d16e3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15262813$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Stevens, R. D.</creatorcontrib><creatorcontrib>Tipney, H. J.</creatorcontrib><creatorcontrib>Wroe, C. J.</creatorcontrib><creatorcontrib>Oinn, T. M.</creatorcontrib><creatorcontrib>Senger, M.</creatorcontrib><creatorcontrib>Lord, P. W.</creatorcontrib><creatorcontrib>Goble, C. A.</creatorcontrib><creatorcontrib>Brass, A.</creatorcontrib><creatorcontrib>Tassabehji, M.</creatorcontrib><title>Exploring Williams–Beuren syndrome using myGrid</title><title>Bioinformatics</title><addtitle>Bioinformatics</addtitle><description>Motivation: In silico experiments necessitate the virtual organization of people, data, tools and machines. The scientific process also necessitates an awareness of the experience base, both of personal data as well as the wider context of work. The management of all these data and the co-ordination of resources to manage such virtual organizations and the data surrounding them needs significant computational infra-structure support. Results: In this paper, we show that myGrid, middleware for the Semantic Grid, enables biologists to perform and manage in silico experiments, then explore and exploit the results of their experiments. We demonstrate myGrid in the context of a series of bioinformatics experiments focused on a 1.5 Mb region on chromosome 7 which is deleted in Williams–Beuren syndrome (WBS). Due to the highly repetitive nature of sequence flanking/in the WBS critical region (WBSCR), sequencing of the region is incomplete leaving documented gaps in the released sequence. myGrid was used in a series of experiments to find newly sequenced human genomic DNA clones that extended into these ‘gap’ regions in order to produce a complete and accurate map of the WBSCR. Once placed in this region, these DNA sequences were analysed with a battery of prediction tools in order to locate putative genes and regulatory elements possibly implicated in the disorder. Finally, any genes discovered were submitted to a range of standard bioinformatics tools for their characterization. We report how myGrid has been used to create workflows for these in silico experiments, run those workflows regularly and notify the biologist when new DNA and genes are discovered. The myGrid services collect and co-ordinate data inputs and outputs for the experiment, as well as much provenance information about the performance of experiments on WBS. Availability: The myGrid software is available via http://www.mygrid.org.uk</description><subject>Algorithms</subject><subject>Chromosome Mapping - methods</subject><subject>Computer Graphics</subject><subject>Genetic Predisposition to Disease - genetics</subject><subject>Internet</subject><subject>Sequence Analysis, DNA - methods</subject><subject>Software</subject><subject>User-Computer Interface</subject><subject>Williams Syndrome - genetics</subject><issn>1367-4803</issn><issn>1460-2059</issn><issn>1367-4811</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkMtKBDEQRYMoPkY_QRlcuGunKq_uLHV8I-hCUdyEdCet0X6MyTQ4O__BP_RLbJlB0VUV1LmX4hCyjbCPoNgo961vyjbUZuqLOMqnT4rzJbKOXEJCQajlfmcyTXgGbI1sxPgMIJBzvkrWUFBJM2TrBI_fJlUbfPM4vPNV5U0dP98_Dl0XXDOMs8aGtnbDLn4D9ew0eLtJVkpTRbe1mANye3J8Mz5LLq9Oz8cHl0lBMWVJalFxWajMZAhCZKkBMDwvS6MstQhFIaE0qXKC58wyaSljCphD4GBROjYge_PeSWhfOxenuvaxcFVlGtd2UUuZUqpE1oO7_8DntgtN_5tGlUmJSLGHxBwqQhtjcKWeBF-bMNMI-luo_itUz4X2uZ1FeZfXzv6mFgZ7IJkDPk7d28_dhBctU5YKfXb_oA-Prm8uBKIG9gUGVoV7</recordid><startdate>20040804</startdate><enddate>20040804</enddate><creator>Stevens, R. D.</creator><creator>Tipney, H. J.</creator><creator>Wroe, C. J.</creator><creator>Oinn, T. M.</creator><creator>Senger, M.</creator><creator>Lord, P. W.</creator><creator>Goble, C. A.</creator><creator>Brass, A.</creator><creator>Tassabehji, M.</creator><general>Oxford University Press</general><general>Oxford Publishing Limited (England)</general><scope>BSCLL</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>20040804</creationdate><title>Exploring Williams–Beuren syndrome using myGrid</title><author>Stevens, R. D. ; Tipney, H. J. ; Wroe, C. J. ; Oinn, T. M. ; Senger, M. ; Lord, P. W. ; Goble, C. A. ; Brass, A. ; Tassabehji, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2173-7d1946c98a8105587a00a4bffa9d2d10cc60fa79e54b3d36d233903e1040d16e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Algorithms</topic><topic>Chromosome Mapping - methods</topic><topic>Computer Graphics</topic><topic>Genetic Predisposition to Disease - genetics</topic><topic>Internet</topic><topic>Sequence Analysis, DNA - methods</topic><topic>Software</topic><topic>User-Computer Interface</topic><topic>Williams Syndrome - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stevens, R. D.</creatorcontrib><creatorcontrib>Tipney, H. J.</creatorcontrib><creatorcontrib>Wroe, C. J.</creatorcontrib><creatorcontrib>Oinn, T. M.</creatorcontrib><creatorcontrib>Senger, M.</creatorcontrib><creatorcontrib>Lord, P. W.</creatorcontrib><creatorcontrib>Goble, C. A.</creatorcontrib><creatorcontrib>Brass, A.</creatorcontrib><creatorcontrib>Tassabehji, M.</creatorcontrib><collection>Istex</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</fulltext></delivery><addata><au>Stevens, R. D.</au><au>Tipney, H. J.</au><au>Wroe, C. J.</au><au>Oinn, T. M.</au><au>Senger, M.</au><au>Lord, P. W.</au><au>Goble, C. A.</au><au>Brass, A.</au><au>Tassabehji, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploring Williams–Beuren syndrome using myGrid</atitle><jtitle>Bioinformatics</jtitle><addtitle>Bioinformatics</addtitle><date>2004-08-04</date><risdate>2004</risdate><volume>20</volume><issue>suppl-1</issue><spage>i303</spage><epage>i310</epage><pages>i303-i310</pages><issn>1367-4803</issn><eissn>1460-2059</eissn><eissn>1367-4811</eissn><coden>BOINFP</coden><abstract>Motivation: In silico experiments necessitate the virtual organization of people, data, tools and machines. The scientific process also necessitates an awareness of the experience base, both of personal data as well as the wider context of work. The management of all these data and the co-ordination of resources to manage such virtual organizations and the data surrounding them needs significant computational infra-structure support. Results: In this paper, we show that myGrid, middleware for the Semantic Grid, enables biologists to perform and manage in silico experiments, then explore and exploit the results of their experiments. We demonstrate myGrid in the context of a series of bioinformatics experiments focused on a 1.5 Mb region on chromosome 7 which is deleted in Williams–Beuren syndrome (WBS). Due to the highly repetitive nature of sequence flanking/in the WBS critical region (WBSCR), sequencing of the region is incomplete leaving documented gaps in the released sequence. myGrid was used in a series of experiments to find newly sequenced human genomic DNA clones that extended into these ‘gap’ regions in order to produce a complete and accurate map of the WBSCR. Once placed in this region, these DNA sequences were analysed with a battery of prediction tools in order to locate putative genes and regulatory elements possibly implicated in the disorder. Finally, any genes discovered were submitted to a range of standard bioinformatics tools for their characterization. We report how myGrid has been used to create workflows for these in silico experiments, run those workflows regularly and notify the biologist when new DNA and genes are discovered. The myGrid services collect and co-ordinate data inputs and outputs for the experiment, as well as much provenance information about the performance of experiments on WBS. Availability: The myGrid software is available via http://www.mygrid.org.uk</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>15262813</pmid><doi>10.1093/bioinformatics/bth944</doi></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1367-4803 |
ispartof | Bioinformatics, 2004-08, Vol.20 (suppl-1), p.i303-i310 |
issn | 1367-4803 1460-2059 1367-4811 |
language | eng |
recordid | cdi_proquest_miscellaneous_66722958 |
source | MEDLINE; Oxford Journals Open Access Collection; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
subjects | Algorithms Chromosome Mapping - methods Computer Graphics Genetic Predisposition to Disease - genetics Internet Sequence Analysis, DNA - methods Software User-Computer Interface Williams Syndrome - genetics |
title | Exploring Williams–Beuren syndrome using myGrid |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T22%3A59%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Exploring%20Williams%E2%80%93Beuren%20syndrome%20using%20myGrid&rft.jtitle=Bioinformatics&rft.au=Stevens,%20R.%20D.&rft.date=2004-08-04&rft.volume=20&rft.issue=suppl-1&rft.spage=i303&rft.epage=i310&rft.pages=i303-i310&rft.issn=1367-4803&rft.eissn=1460-2059&rft.coden=BOINFP&rft_id=info:doi/10.1093/bioinformatics/bth944&rft_dat=%3Cproquest_cross%3E66722958%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=198661121&rft_id=info:pmid/15262813&rfr_iscdi=true |