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

BMC Bioinformatics(2024)10.1186/s12859-024-05982-5Source: DataRank Database

PIPETS: a statistically informed, gene-annotation agnostic analysis method to study bacterial termination using 3′-end sequencing is a research paper published in BMC Bioinformatics (2024). On theSindex it has a DataRank of 0. It has been cited 4 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access4 citations

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Linked data & code

bioproject gen refseq

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 1.54)OA: goldTopics (39)IDs (PubMed, PMC, OpenAlex)Annotations (3)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Michelle M. Meyer ORCID,Quinlan Furumo

Live enrichment

PubMed:39580611 PMC:PMC11585934 OpenAlex:https://openalex.org/W4404645576

National Institute of Allergy and Infectious Diseases

Grant: R21AI148895

National Institute of General Medical Sciences

Grant: R01GM134259

National Institutes of Health

Grant: 1R21AI148895-01

Interactions between translation inhibiting antibiotics and diverse RNA regulatory mechanism in pathogenic bacteria affect drug sensitivity

National Institutes of Health

Grant: 1R01GM134259-01A1

Using Fitness Landscapes to assess RNA Structure-Function Relationships From Inside the Cell

FWCI

1.54

Citation Percentile

0.8%

Citation Trend

2024

2025

2026

goldLicense: cc-by

journalhttps://link.springer.com/content/pdf/10.1186/s12859-024-05982-5.pdf

publisherhttps://link.springer.com/content/pdf/10.1186/s12859-024-05982-5.pdf

publisherhttps://link.springer.com/article/10.1186/s12859-024-05982-5/fulltext.html

journalhttps://doi.org/10.1186/s12859-024-05982-5

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39580611

Fields of Study

Bacterial Genetics and BiotechnologyGenomics and Phylogenetic StudiesProtist diversity and phylogeny0206 medical engineering02 engineering and technology

MeSH Terms

SoftwareGenome, BacterialSequence Analysis, DNAMolecular Sequence AnnotationHigh-Throughput Nucleotide Sequencing

Keywords

AnnotationBioconductorComputational biologyComputer scienceGene AnnotationDNA sequencingIdentification (biology)GenomicsDeep sequencingData miningBiologyData scienceGenomeGeneBioinformaticsGeneticsTranscription TerminationR-packageBacterial 3′-SequencingQH301-705.5Computer applications to medicine. Medical informaticsR858-859.7High-Throughput Nucleotide SequencingMolecular Sequence AnnotationSequence Analysis, DNAArticleBiology (General)SoftwareGenome, Bacterial