Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining.
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The 20th anniversary of EMBnet: 20 years of bioinformatics for the Life Sciences communitySequence context outside the target region influences the effectiveness of miR-223 target sites in the RhoB 3'UTRDifferential transcript isoform usage pre- and post-zygotic genome activation in zebrafishCloFAST: closed sequential pattern mining using sparse and vertical id-lists
P2860
Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining.
description
2009 nî lūn-bûn
@nan
2009 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining.
@ast
Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining.
@en
type
label
Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining.
@ast
Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining.
@en
prefLabel
Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining.
@ast
Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining.
@en
P2860
P50
P1433
P1476
Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining.
@en
P2093
Antonio Turi
Eliana Salvemini
P2860
P2888
P356
10.1186/1471-2105-10-S6-S25
P478
10 Suppl 6
P577
2009-06-16T00:00:00Z
P5875
P6179
1051070337