ReviewMethods in molecular biology (Clifton, N.J.)2024
Obtaining Detailed Phage Transcriptomes Using ONT-Cappable-Seq.
Review in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- Multi-omics characterization of a lytic phage targetingmSystems · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Detailed transcription maps of bacteriophages are not usually explored, limiting our understanding of molecular phage biology and restricting their exploitation and engineering. The ONT-cappable-seq method described here brings phage transcriptomics to the accessible nanopore sequencing platform and provides an affordable and more detailed overview of transcriptional features compared to traditional RNA-seq experiments. With ONT-cappable-seq, primary transcripts are specifically capped, enriched, and prepared for long-read sequencing on the nanopore sequencing platform. This enables end-to-end sequencing of unprocessed transcripts covering both phage and host genome, thus providing insight on their operons. The subsequent analysis pipeline makes it possible to rapidly identify the most important transcriptional features such as transcription start and stop sites. The obtained data can thus provide a comprehensive overview of the transcription by your phage of interest.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.