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Escherichia coli transcriptome assembly from a compendium of RNA-seq data sets.
Tjaden, Brian.
Afiliação
  • Tjaden B; Department of Computer Science, Wellesley College, Wellesley, MA, USA.
RNA Biol ; 20(1): 77-84, 2023 01.
Article em En | MEDLINE | ID: mdl-36920168
ABSTRACT
Owing to the complexities of bacterial RNA biology, the transcriptomes of even the best studied bacteria are not fully understood. To help elucidate the transcriptional landscape of E. coli, we compiled a compendium of 3,376 RNA-seq data sets composed of more than 7 trillion sequenced bases, which we evaluate with a transcript assembly pipeline. We report expression profiles for all annotated E. coli genes as well as 5,071 other transcripts. Additionally, we observe hundreds of instances of co-transcribed genes that are novel with respect to existing operon databases. By integrating data from a large number of sequencing experiments corresponding to a wide range of conditions, we are able to obtain a comprehensive view of the E. coli transcriptome.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Escherichia coli / Transcriptoma Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Escherichia coli / Transcriptoma Idioma: En Ano de publicação: 2023 Tipo de documento: Article