Deciphering transcript architectural complexity in bacteria and archaea

ABSTRACT RNA transcripts are potential therapeutic targets, yet bacterial transcripts have uncharacterized biodiversity. We developed an algorithm for transcript prediction called tp.py using it to predict transcripts (mRNA and other RNAs) in Escherichia coli K12 and E2348/69 strains (Bacteria:gamma...

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Bibliographic Details
Published in:mBio
Main Authors: John S. A. Mattick, Robin E. Bromley, Kaylee J. Watson, Ricky S. Adkins, Christopher I. Holt, Jarrett F. Lebov, Benjamin C. Sparklin, Tyonna S. Tyson, David A. Rasko, Julie C. Dunning Hotopp
Format: Article
Language:English
Published: American Society for Microbiology 2024-10-01
Subjects:
transcriptomics
bacterial transcripts
archaeal transcripts
small RNAs
non-coding RNA (ncRNA)
direct RNA sequencing
Online Access:https://journals.asm.org/doi/10.1128/mbio.02359-24

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https://journals.asm.org/doi/10.1128/mbio.02359-24

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