CAFU: a Galaxy framework for exploring unmapped RNA-Seq data

Abstract A widely used approach in transcriptome analysis is the alignment of short reads to a reference genome. However, owing to the deficiencies of specially designed analytical systems, short reads unmapped to the genome sequence are usually ignored, resulting in the loss of significant biologic...

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Veröffentlicht in:	Briefings in bioinformatics 2020-03, Vol.21 (2), p.676-686
Hauptverfasser:	Chen, Siyuan, Ren, Chengzhi, Zhai, Jingjing, Yu, Jiantao, Zhao, Xuyang, Li, Zelong, Zhang, Ting, Ma, Wenlong, Han, Zhaoxue, Ma, Chuang
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations Galaxies Gene expression Gene sequencing Genomes Learning algorithms Machine learning Nucleotide sequence Problem Solving Protocol Ribonucleic acid RNA Species Task complexity Transcription
Online-Zugang:	Volltext
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