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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Identifiers and source
- Literature Corpus work
- aadcd4e2-352a-5f66-a99f-1106ea50ad56
- DOI
- 10.1101/2024.04.02.587803
