Evidence map›Paper›PMID 38668652›Full record

ArticleMicrobial genomics2024

Genome-wide annotation of transcript boundaries using bacterial Rend-seq datasets.

Andreas C Lawaetz, Lauren A Cowley, Emma L Denham

Abstract read
In one paragraph

Article in Microbial genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Andreas C LawaetzLife Sciences Department, University of Bath, Claverton Down, Bath, BA2 7AY, UK.
Lauren A CowleyLife Sciences Department, University of Bath, Claverton Down, Bath, BA2 7AY, UK.
Emma L DenhamLife Sciences Department, University of Bath, Claverton Down, Bath, BA2 7AY, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate annotation to single-nucleotide resolution of the transcribed regions in genomes is key to optimally analyse RNA-seq data, understand regulatory events and for the design of experiments. However, currently most genome annotations provided by GenBank generally lack information about untranslated regions. Additionally, information regarding genomic locations of non-coding RNAs, such as sRNAs, or anti-sense RNAs is frequently missing. To provide such information, diverse RNA-seq technologies, such as Rend-seq, have been developed and applied to many bacterial species. However, incorporating this vast amount of information into annotation files has been limited and is bioinformatically challenging, resulting in UTRs and other non-coding elements being overlooked or misrepresented. To overcome this problem, we present pyRAP (python Rend-seq Annotation Pipeline), a software package that analyses Rend-seq datasets to accurately resolve transcript boundaries genome-wide. We report the use of pyRAP to find novel transcripts, transcript isoforms, and RNase-dependent sRNA processing events. In

Indexed as

Bacillus subtilisGenome, BacterialMolecular Sequence AnnotationSoftwareComputational BiologyEscherichia coliRNA, BacterialRNA-SeqSequence Analysis, RNAStaphylococcus aureusRNA, BacterialBacillus subtilisEscherichia colipyRAPRend-seqsRNAStaphylococcus aureus

Identifiers

PMID38668652
PMCPMC11092163

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.