An empirical strategy to detect bacterial transcript structure from directional RNA-seq transcriptome data.

Wang, Yejun; MacKenzie, Keith D; White, Aaron P

Wang, Yejun; MacKenzie, Keith D; White, Aaron P.

Affiliation

Wang Y; Vaccine and Infectious Disease Organization-International Vaccine Centre, University of Saskatchewan, Saskatoon, SK, Canada. yejun.wang@gmail.com.
MacKenzie KD; Vaccine and Infectious Disease Organization-International Vaccine Centre, University of Saskatchewan, Saskatoon, SK, Canada. keith.mackenzie@usask.ca.
White AP; Department of Microbiology and Immunology, University of Saskatchewan, Saskatoon, SK, Canada. keith.mackenzie@usask.ca.

BMC Genomics ; 16: 359, 2015 May 07.

Article in En | MEDLINE | ID: mdl-25947005

Subject(s)

Salmonella typhimurium/genetics; Transcription, Genetic; Bacterial Proteins/chemistry; Bacterial Proteins/metabolism; Base Sequence; DNA-Directed RNA Polymerases/chemistry; DNA-Directed RNA Polymerases/metabolism; Gene Library; Operon; Promoter Regions, Genetic; RNA, Messenger/chemistry; RNA, Messenger/genetics; RNA, Messenger/metabolism; Sigma Factor/chemistry; Sigma Factor/metabolism; Terminator Regions, Genetic; Transcription Initiation Site; Transcriptome

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Salmonella typhimurium / Transcription, Genetic Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: BMC Genomics Journal subject: GENETICA Year: 2015 Type: Article Affiliation country: Canada

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