Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/43070
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dc.titleIE-Kb: Intron exon knowledge base
dc.contributor.authorSakharkar, M.K.
dc.contributor.authorKangueane, P.
dc.contributor.authorWoon, T.W.
dc.contributor.authorTan, T.W.
dc.contributor.authorKolatkar, P.R.
dc.contributor.authorLong, M.
dc.contributor.authorDe Souza, S.J.
dc.date.accessioned2013-07-23T09:24:08Z
dc.date.available2013-07-23T09:24:08Z
dc.date.issued2000
dc.identifier.citationSakharkar, M.K.,Kangueane, P.,Woon, T.W.,Tan, T.W.,Kolatkar, P.R.,Long, M.,De Souza, S.J. (2000). IE-Kb: Intron exon knowledge base. Bioinformatics 16 (12) : 1151-1152. ScholarBank@NUS Repository.
dc.identifier.issn13674803
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/43070
dc.description.abstractIE-Kb (Intron Exon-Knowledge base) illustrates the intron-exon dynamics in eukaryotic genes. We have developed three different knowledge sets, namely 'Non-redundant ExInt', 'Non-redundant Pfam-ExInt complement' and 'Non-redundant GenBank eukaryotic subdivisional sets' to understand this phenomenon. Statistical analysis is performed on each knowledge set and the results are made available online. The entries in knowledge sets are ranked based on their intron length, exon length and protein length with relational hyper-links to the corresponding intron phase, intron position, intron sequence, gene definition and parent GenBank entry.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentBIOINFORMATICS CENTRE
dc.contributor.departmentBIOCHEMISTRY
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleBioinformatics
dc.description.volume16
dc.description.issue12
dc.description.page1151-1152
dc.description.codenBOINF
dc.identifier.isiutNOT_IN_WOS
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