BlockClust: efficient clustering and classification of non-coding RNAs from short read RNA-seq profiles.
about
Emerging applications of read profiles towards the functional annotation of the genomeA Review on Recent Computational Methods for Predicting Noncoding RNAs.SHARAKU: an algorithm for aligning and clustering read mapping profiles of deep sequencing in non-coding RNA processingPrediction of bacterial small RNAs in the RsmA (CsrA) and ToxT pathways: a machine learning approach.RNAscClust: clustering RNA sequences using structure conservation and graph based motifs.Nonlinear analysis of tRNAs nucleotide sequences by random walks: randomness and order in the primitive informational polymers.A survey of software tools for microRNA discovery and characterization using RNA-seq.The discovery potential of RNA processing profiles.aliFreeFold: an alignment-free approach to predict secondary structure from homologous RNA sequences.
P2860
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P2860
BlockClust: efficient clustering and classification of non-coding RNAs from short read RNA-seq profiles.
description
2014 nî lūn-bûn
@nan
2014年の論文
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2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
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2014年論文
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2014年论文
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2014年论文
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2014年论文
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name
BlockClust: efficient clusteri ...... m short read RNA-seq profiles.
@en
type
label
BlockClust: efficient clusteri ...... m short read RNA-seq profiles.
@en
prefLabel
BlockClust: efficient clusteri ...... m short read RNA-seq profiles.
@en
P2860
P50
P356
P1433
P1476
BlockClust: efficient clusteri ...... m short read RNA-seq profiles.
@en
P2093
Dominic Rose
P2860
P304
P356
10.1093/BIOINFORMATICS/BTU270
P407
P577
2014-06-01T00:00:00Z