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Article

Deciphering Bacterial and Archaeal Transcriptional Dark Matter and Its Architectural Complexity

2024-04-03

Abstract excerpt

Transcripts are potential therapeutic targets, yet bacterial transcripts remain biological dark matter with uncharacterized biodiversity. We developed and applied an algorithm to predict transcripts for Escherichia coli K12 and E2348/69 strains (Bacteria:gamma-Proteobacteria) with newly generated ONT direct RNA sequencing data while predicting transcripts for Listeria monocytogenes strains Scott A and RO15 (Bacter...

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Literature Corpus work
aadcd4e2-352a-5f66-a99f-1106ea50ad56
DOI
10.1101/2024.04.02.587803
Open publication

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Deciphering Bacterial and Archaeal Transcriptional Dark Matter and Its Architectural ComplexityDOI 10.1101/2024.04.02.587803
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