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RNA-Seq data: a goldmine for organelle research
Author(s) -
David Roy Smith
Publication year - 2013
Publication title -
briefings in functional genomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.22
H-Index - 67
eISSN - 2041-2647
pISSN - 2041-2649
DOI - 10.1093/bfgp/els066
Subject(s) - biology , organelle , genbank , rna , computational biology , rna seq , genome , function (biology) , rna editing , genetics , evolutionary biology , gene , transcriptome , gene expression
GenBank is bursting with eukaryotic RNA sequencing (RNA-Seq) results. These data are transforming our view of nuclear transcriptional architecture, but many scientists are ignoring a major component of the data: mitochondrial- and chloroplast-derived sequences. Indeed, organelle transcripts typically represent a significant proportion of the reads generated from eukaryotic RNA-Seq experiments. Here, I argue that these data are an excellent and untapped resource for investigating many aspects of organelle function and evolution.

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