ReviewJournal of virology2019
Going the Distance: Optimizing RNA-Seq Strategies for Transcriptomic Analysis of Complex Viral Genomes.
Review in Journal of virology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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
27 citing papers in PubMed, 45 citations in OpenAlex.
- Identification of a novel fiber shaft structural motif and overexpression of key transcripts elucidated in human adenovirus D 10.PLoS pathogens · 2026Article
- Nanopore guided annotation of transcriptome architectures.mSystems · 2024Article
- Viral genome sequencing methods: benefits and pitfalls of current approaches.Biochemical Society transactions · 2024Review
- Nanopore Guided Annotation of Transcriptome Architectures.bioRxiv : the preprint server for biology · 2024Article
- HIV-1 Vpr induces ciTRAN to prevent transcriptional repression of the provirus.Science advances · 2023Article
- Understanding virus-host interactions in tissues.Nature microbiology · 2023Review
- Review
- The Viral Fraction Metatranscriptomes of Lake Baikal.Microorganisms · 2022Article
- Novel viral splicing events and open reading frames revealed by long-read direct RNA sequencing of adenovirus transcripts.PLoS pathogens · 2022Article
- Analyzing viral epitranscriptomes using nanopore direct RNA sequencing.Journal of microbiology (Seoul, Korea) · 2022Article
- Transcriptome dataset of six human pathogen RNA viruses generated by nanopore sequencing.Data in brief · 2022Article
- Review
- DRUMMER-rapid detection of RNA modifications through comparative nanopore sequencing.Bioinformatics (Oxford, England) · 2022Article
- RNA Viruses in Aquatic Ecosystems through the Lens of Ecological Genomics and Transcriptomics.Viruses · 2022Review
- Control of animal virus replication by RNA adenosine methylation.Advances in virus research · 2022Review
- Human placental biology at single-cell resolution: a contemporaneous review.BJOG : an international journal of obstetrics and gynaecology · 2022Review
- Article
- Virus Infection Variability by Single-Cell Profiling.Viruses · 2021Review
- Combined nanopore and single-molecule real-time sequencing survey of human betaherpesvirus 5 transcriptome.Scientific reports · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Transcriptome profiling has become routine in studies of many biological processes. However, the favored approaches such as short-read Illumina RNA sequencing are giving way to long-read sequencing platforms better suited to interrogating the complex transcriptomes typical of many RNA and DNA viruses. Here, we provide a guide-tailored to molecular virologists-to the ins and outs of viral transcriptome sequencing and discuss the strengths and weaknesses of the major RNA sequencing technologies as tools to analyze the abundance and diversity of the viral transcripts made during infection.
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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.