Allele Workbench: transcriptome pipeline and interactive graphics for allele-specific expression
Sequencing the transcriptome can answer various questions such as determining the transcripts expressed in a given species for a specific tissue or condition, evaluating differential expression, discovering variants, and evaluating allele-specific expression. Differential expression evaluates the ex...
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description | Sequencing the transcriptome can answer various questions such as determining the transcripts expressed in a given species for a specific tissue or condition, evaluating differential expression, discovering variants, and evaluating allele-specific expression. Differential expression evaluates the expression differences between different strains, tissues, and conditions. Allele-specific expression evaluates expression differences between parental alleles. Both differential expression and allele-specific expression have been studied for heterosis (hybrid vigor), where the hybrid has improved performance over the parents for one or more traits. The Allele Workbench software was developed for a heterosis study that evaluated allele-specific expression for a mouse F1 hybrid using libraries from multiple tissues with biological replicates. This software has been made into a distributable package, which includes a pipeline, a Java interface to build the database, and a Java interface for query and display of the results. The required input is a reference genome, annotation file, and one or more RNA-Seq libraries with optional replicates. It evaluates allelic imbalance at the SNP and transcript level and flags transcripts with significant opposite directional allele-specific expression. The Java interface allows the user to view data from libraries, replicates, genes, transcripts, exons, and variants, including queries on allele imbalance for selected libraries. To determine the impact of allele-specific SNPs on protein folding, variants are annotated with their effect (e.g., missense), and the parental protein sequences may be exported for protein folding analysis. The Allele Workbench processing results in transcript files and read counts that can be used as input to the previously published Transcriptome Computational Workbench, which has a new algorithm for determining a trimmed set of gene ontology terms. The software with demo files is available from https://code.google.com/p/allele-workbench. Additionally, all software is ready for immediate use from an Atmosphere Virtual Machine Image available from the iPlant Collaborative (www.iplantcollaborative.org). |
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It evaluates allelic imbalance at the SNP and transcript level and flags transcripts with significant opposite directional allele-specific expression. The Java interface allows the user to view data from libraries, replicates, genes, transcripts, exons, and variants, including queries on allele imbalance for selected libraries. To determine the impact of allele-specific SNPs on protein folding, variants are annotated with their effect (e.g., missense), and the parental protein sequences may be exported for protein folding analysis. The Allele Workbench processing results in transcript files and read counts that can be used as input to the previously published Transcriptome Computational Workbench, which has a new algorithm for determining a trimmed set of gene ontology terms. The software with demo files is available from https://code.google.com/p/allele-workbench. 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This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Soderlund et al 2014 Soderlund et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-cd9a987c299377a94c9b3cfc2cf63e7be7092039fa680fdc04d3af646df0cb513</citedby><cites>FETCH-LOGICAL-c758t-cd9a987c299377a94c9b3cfc2cf63e7be7092039fa680fdc04d3af646df0cb513</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4277417/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4277417/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2095,2914,23846,27903,27904,53770,53772,79347,79348</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25541944$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Gibas, Cynthia</contributor><creatorcontrib>Soderlund, Carol A</creatorcontrib><creatorcontrib>Nelson, William M</creatorcontrib><creatorcontrib>Goff, Stephen A</creatorcontrib><title>Allele Workbench: transcriptome pipeline and interactive graphics for allele-specific expression</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Sequencing the transcriptome can answer various questions such as determining the transcripts expressed in a given species for a specific tissue or condition, evaluating differential expression, discovering variants, and evaluating allele-specific expression. Differential expression evaluates the expression differences between different strains, tissues, and conditions. Allele-specific expression evaluates expression differences between parental alleles. Both differential expression and allele-specific expression have been studied for heterosis (hybrid vigor), where the hybrid has improved performance over the parents for one or more traits. The Allele Workbench software was developed for a heterosis study that evaluated allele-specific expression for a mouse F1 hybrid using libraries from multiple tissues with biological replicates. This software has been made into a distributable package, which includes a pipeline, a Java interface to build the database, and a Java interface for query and display of the results. The required input is a reference genome, annotation file, and one or more RNA-Seq libraries with optional replicates. It evaluates allelic imbalance at the SNP and transcript level and flags transcripts with significant opposite directional allele-specific expression. The Java interface allows the user to view data from libraries, replicates, genes, transcripts, exons, and variants, including queries on allele imbalance for selected libraries. To determine the impact of allele-specific SNPs on protein folding, variants are annotated with their effect (e.g., missense), and the parental protein sequences may be exported for protein folding analysis. The Allele Workbench processing results in transcript files and read counts that can be used as input to the previously published Transcriptome Computational Workbench, which has a new algorithm for determining a trimmed set of gene ontology terms. The software with demo files is available from https://code.google.com/p/allele-workbench. 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genetics</subject><subject>RNA, Messenger - metabolism</subject><subject>Sequence Analysis</subject><subject>Single nucleotide polymorphisms</subject><subject>Single-nucleotide polymorphism</subject><subject>Software</subject><subject>Tissues</subject><subject>Transcription</subject><subject>User-Computer Interface</subject><subject>Vigor</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6D0QLgujFjEmbNhMvhGHxY2Bhwc_LmKYnMxnTpCbpsv57MzPdZSp7Ib1oSZ73PR89J8ueYjTHJcVvtm7wVph57yzMEcYVJehedopZWczqApX3j75PskchbBGqykVdP8xOiqoimBFymv1cGgMG8h_O_2rAys3bPHphg_S6j66DvNc9GG0hF7bNtY3ghYz6CvK1F_1Gy5Ar53Oxd5mFHqRWWuZw3XsIQTv7OHughAnwZHyfZd8-vP96_ml2cflxdb68mElaLeJMtkywBZUFYyWlghHJmlIqWUhVl0AboIilQpgS9QKpViLSlkLVpG4Vkk2Fy7Ps-cG3Ny7wsTmB45qgqmKMsESsDkTrxJb3XnfC_-FOaL4_cH7NhY9aGuCYtC3DBYiK0qREDWqZXCgguEnpFHXyejdGG5oOWgk2dc1MTKc3Vm_42l1xUiRHTJPBq9HAu98DhMg7HSQYIyy4YZ83RjgFrxL64h_07upGai1SAdoql-LKnSlfpoCUlRXa5T2_g0pPC52WaZKUTucTweuJIDERruNaDCHw1ZfP_89efp-yL4_YDQgTN8GZIaaRCVOQHEDpXQge1G2TMeK7RbjpBt8tAh8XIcmeHf-gW9HN5Jd_AajGBGU</recordid><startdate>20141226</startdate><enddate>20141226</enddate><creator>Soderlund, Carol A</creator><creator>Nelson, William M</creator><creator>Goff, Stephen A</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20141226</creationdate><title>Allele Workbench: transcriptome pipeline and interactive graphics for allele-specific expression</title><author>Soderlund, Carol A ; Nelson, William M ; Goff, Stephen A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-cd9a987c299377a94c9b3cfc2cf63e7be7092039fa680fdc04d3af646df0cb513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Acids</topic><topic>Algorithms</topic><topic>Alleles</topic><topic>Analysis</topic><topic>Animals</topic><topic>Annotations</topic><topic>Bioinformatics</topic><topic>Biology and Life Sciences</topic><topic>Computational Biology - methods</topic><topic>Computer applications</topic><topic>Computer Graphics</topic><topic>Computer programs</topic><topic>Data Mining</topic><topic>Databases, Genetic</topic><topic>Exons</topic><topic>Flags</topic><topic>Folding</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Genes</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Haplotypes</topic><topic>Heterosis</topic><topic>Heterozygote</topic><topic>Hybrid vigor</topic><topic>Mice</topic><topic>Ontology</topic><topic>Parents</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Programming Languages</topic><topic>Protein folding</topic><topic>Quality</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>RNA, Messenger - genetics</topic><topic>RNA, Messenger - metabolism</topic><topic>Sequence Analysis</topic><topic>Single nucleotide polymorphisms</topic><topic>Single-nucleotide polymorphism</topic><topic>Software</topic><topic>Tissues</topic><topic>Transcription</topic><topic>User-Computer Interface</topic><topic>Vigor</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Soderlund, Carol A</creatorcontrib><creatorcontrib>Nelson, William M</creatorcontrib><creatorcontrib>Goff, Stephen A</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Opposing Viewpoints Resource Center</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Database (1962 - 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Differential expression evaluates the expression differences between different strains, tissues, and conditions. Allele-specific expression evaluates expression differences between parental alleles. Both differential expression and allele-specific expression have been studied for heterosis (hybrid vigor), where the hybrid has improved performance over the parents for one or more traits. The Allele Workbench software was developed for a heterosis study that evaluated allele-specific expression for a mouse F1 hybrid using libraries from multiple tissues with biological replicates. This software has been made into a distributable package, which includes a pipeline, a Java interface to build the database, and a Java interface for query and display of the results. The required input is a reference genome, annotation file, and one or more RNA-Seq libraries with optional replicates. It evaluates allelic imbalance at the SNP and transcript level and flags transcripts with significant opposite directional allele-specific expression. The Java interface allows the user to view data from libraries, replicates, genes, transcripts, exons, and variants, including queries on allele imbalance for selected libraries. To determine the impact of allele-specific SNPs on protein folding, variants are annotated with their effect (e.g., missense), and the parental protein sequences may be exported for protein folding analysis. The Allele Workbench processing results in transcript files and read counts that can be used as input to the previously published Transcriptome Computational Workbench, which has a new algorithm for determining a trimmed set of gene ontology terms. The software with demo files is available from https://code.google.com/p/allele-workbench. Additionally, all software is ready for immediate use from an Atmosphere Virtual Machine Image available from the iPlant Collaborative (www.iplantcollaborative.org).</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25541944</pmid><doi>10.1371/journal.pone.0115740</doi><oa>free_for_read</oa></addata></record> |
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subjects | Acids Algorithms Alleles Analysis Animals Annotations Bioinformatics Biology and Life Sciences Computational Biology - methods Computer applications Computer Graphics Computer programs Data Mining Databases, Genetic Exons Flags Folding Gene expression Gene Expression Profiling Genes Genomes Genomics Haplotypes Heterosis Heterozygote Hybrid vigor Mice Ontology Parents Polymorphism, Single Nucleotide Programming Languages Protein folding Quality Ribonucleic acid RNA RNA, Messenger - genetics RNA, Messenger - metabolism Sequence Analysis Single nucleotide polymorphisms Single-nucleotide polymorphism Software Tissues Transcription User-Computer Interface Vigor |
title | Allele Workbench: transcriptome pipeline and interactive graphics for allele-specific expression |
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