PIPETS: a statistically informed, gene-annotation agnostic analysis method to study bacterial termination using 3′-end sequencing

PIPETS provides a broadly applicable platform to explore and analyze 3'-end sequencing data sets from across different organisms. It requires only the 3'-end sequencing data, and is broadly accessible to non-expert users.

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Publication Details

Journal
BMC Bioinformatics
Published
2024-11-23
DOI
https://doi.org/10.1186/s12859-024-05982-5
Citations
3
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.70

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article

PIPETS: a statistically informed, gene-annotation agnostic analysis method to study bacterial termination using 3′-end sequencing

Quinlan Furumo, Michelle M. Meyer
3 citations
BMC Bioinformatics
Genomics and Phylogenetic Studies
0.70
article

PIPETS: a statistically informed, gene-annotation agnostic analysis method to study bacterial termination using 3′-end sequencing

Quinlan Furumo, Michelle M. Meyer
article en
3 citations

Abstract

PIPETS provides a broadly applicable platform to explore and analyze 3'-end sequencing data sets from across different organisms. It requires only the 3'-end sequencing data, and is broadly accessible to non-expert users.

BMC BioinformaticsVol. 25(1)
Boston College (US)
National Institutes of Health, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases
Openalex Percentile: Top 29%
Genomics and Phylogenetic Studies
0.70
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