FX: an RNA-Seq analysis tool on the cloud

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dc.contributor.authorHong, Dong Wanko
dc.contributor.authorRhie, Arangko
dc.contributor.authorPark, Sung Sooko
dc.contributor.authorLee, Jong Keunko
dc.contributor.authorJu, Young Seokko
dc.contributor.authorKim, Su Jungko
dc.contributor.authorYu, Saet Byeolko
dc.contributor.authorBleazard, Thomasko
dc.contributor.authorPark, Hyun Seokko
dc.contributor.authorRhee, Hwan Seokko
dc.contributor.authorChong, Hyonyongko
dc.contributor.authorYang, Kap Seokko
dc.contributor.authorLee, Yeon Suko
dc.contributor.authorKim, In Hooko
dc.contributor.authorLee, Jin Sooko
dc.contributor.authorKim, Jong Ilko
dc.contributor.authorSeo, Jeong Sunko
dc.date.accessioned2016-05-10T08:23:06Z-
dc.date.available2016-05-10T08:23:06Z-
dc.date.created2015-12-09-
dc.date.created2015-12-09-
dc.date.created2015-12-09-
dc.date.issued2012-03-
dc.identifier.citationBIOINFORMATICS, v.28, no.5, pp.721 - 723-
dc.identifier.issn1367-4803-
dc.identifier.urihttp://hdl.handle.net/10203/207080-
dc.description.abstractFX is an RNA-Seq analysis tool, which runs in parallel on cloud computing infrastructure, for the estimation of gene expression levels and genomic variant calling. In the mapping of short RNASeq reads, FX uses a transcriptome-based reference primarily, generated from similar to 160 000 mRNA sequences from RefSeq, UCSC and Ensembl databases. This approach reduces the misalignment of reads originating from splicing junctions. Unmapped reads not aligned on known transcripts are then mapped on the human genome reference. FX allows analysis of RNA-Seq data on cloud computing infrastructures, supporting access through a user-friendly web interface. Availability: FX is freely available on the web at (http://fx.gmi.ac.kr), and can be installed on local Hadoop clusters. Guidance for the installation and operation of FX can be found under the 'Documentation' menu on the website.-
dc.languageEnglish-
dc.publisherOXFORD UNIV PRESS-
dc.titleFX: an RNA-Seq analysis tool on the cloud-
dc.typeArticle-
dc.identifier.wosid000300986600020-
dc.identifier.scopusid2-s2.0-84863289036-
dc.type.rimsART-
dc.citation.volume28-
dc.citation.issue5-
dc.citation.beginningpage721-
dc.citation.endingpage723-
dc.citation.publicationnameBIOINFORMATICS-
dc.identifier.doi10.1093/bioinformatics/bts023-
dc.contributor.localauthorJu, Young Seok-
dc.contributor.nonIdAuthorHong, Dong Wan-
dc.contributor.nonIdAuthorRhie, Arang-
dc.contributor.nonIdAuthorPark, Sung Soo-
dc.contributor.nonIdAuthorLee, Jong Keun-
dc.contributor.nonIdAuthorKim, Su Jung-
dc.contributor.nonIdAuthorYu, Saet Byeol-
dc.contributor.nonIdAuthorBleazard, Thomas-
dc.contributor.nonIdAuthorPark, Hyun Seok-
dc.contributor.nonIdAuthorRhee, Hwan Seok-
dc.contributor.nonIdAuthorChong, Hyonyong-
dc.contributor.nonIdAuthorYang, Kap Seok-
dc.contributor.nonIdAuthorLee, Yeon Su-
dc.contributor.nonIdAuthorKim, In Hoo-
dc.contributor.nonIdAuthorLee, Jin Soo-
dc.contributor.nonIdAuthorKim, Jong Il-
dc.contributor.nonIdAuthorSeo, Jeong Sun-
dc.type.journalArticleArticle-
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