Genomics: the state of the art in RNA-seq analysis.

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

10 citing papers in PubMed.

1. RNA-seq data science: From raw data to effective interpretation.Frontiers in genetics · 2023
   Review
2. Investigating the Transcriptomic and Expression Presence-Absence Variation Exist in Japanese Eel (Anguilla japonica), a Primitive Teleost.Marine biotechnology (New York, N.Y.) · 2021
   Article
3. A Concise Review of MicroRNA Exploring the Insights of MicroRNA Regulations in Bacterial, Viral and Metabolic Diseases.Molecular biotechnology · 2017
   Review
4. Long-read sequencing of the coffee bean transcriptome reveals the diversity of full-length transcripts.GigaScience · 2017
   Article
5. Assessing the Gene Content of the Megagenome: Sugar Pine (Pinus lambertiana).G3 (Bethesda, Md.) · 2016
   Article
6. Use of Metatranscriptomics in Microbiome Research.Bioinformatics and biology insights · 2016
   Review
7. Experimental validation of methods for differential gene expression analysis and sample pooling in RNA-seq.BMC genomics · 2015
   Article
8. Comprehensive analysis of Panax ginseng root transcriptomes.BMC plant biology · 2015
   Article
9. Biochemical and bioinformatic methods for elucidating the role of RNA-protein interactions in posttranscriptional regulation.Briefings in functional genomics · 2015
   Review
10. A survey of software for genome-wide discovery of differential splicing in RNA-Seq data.Human genomics · 2014
    Article

Corrections and comments

• Comment on
  Systematic evaluation of spliced alignment programs for RNA-seq data.2013
• Comment on
  Assessment of transcript reconstruction methods for RNA-seq.2013

Authors and funding

1 author.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

Indexed as