Evidence map›Paper›PMID 26248053›Full record

ArticlePLoS computational biology2015

Informatics for RNA Sequencing: A Web Resource for Analysis on the Cloud.

Malachi Griffith, Jason R Walker, Nicholas C Spies, Benjamin J Ainscough, Obi L Griffith

Abstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Article
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  11. Genomic and Transcriptomic Analysis of Pea (Plants (Basel, Switzerland) · 2023
    Article
  12. Article
  13. Article
  14. Review
  15. Intra-Specific Variation in Desiccation Tolerance ofInternational journal of molecular sciences · 2023
    Article
  16. Article
  17. A Workflow Guide to RNA-Seq Analysis of Chaperone Function and Beyond.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  18. Article
  19. Article
  20. Article
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

5 authors.

Malachi GriffithMcDonnell Genome Institute, Washington University School of Medicine, St. Louis, Missouri, United States of America; Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri, United States of America; Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America.
Jason R WalkerMcDonnell Genome Institute, Washington University School of Medicine, St. Louis, Missouri, United States of America.
Nicholas C SpiesMcDonnell Genome Institute, Washington University School of Medicine, St. Louis, Missouri, United States of America.
Benjamin J AinscoughMcDonnell Genome Institute, Washington University School of Medicine, St. Louis, Missouri, United States of America; Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri, United States of America.
Obi L GriffithMcDonnell Genome Institute, Washington University School of Medicine, St. Louis, Missouri, United States of America; Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri, United States of America; Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America; Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, United States of America.

Funding

MOLECULAR ONCOLOGY TRAINING GRANTT32CA113275 · NCI · WASHINGTON UNIVERSITY · PI Matthew J Walter · 2006 to 2026
$5.7M
Integrated Analysis & Interpretation of Whole Genome Exome & Transcriptome SequenR00HG007940 · NHGRI · WASHINGTON UNIVERSITY · PI GRIFFITH, MALACHI · 2017 to 2019
$724k
DEFINING THE REGULATORY, NON-CODING, MUTATIONAL LANDSCAPE OF BREAST CANCERK22CA188163 · NCI · WASHINGTON UNIVERSITY · PI GRIFFITH, OBI L. · 2014 to 2016
$515k
INTEGRATED ANALYSIS & INTERPRETATION OF WHOLE GENOME, EXOME & TRANSCRIPTOME SEQUENCE DATA IN CANCERK99HG007940 · NHGRI · WASHINGTON UNIVERSITY · PI GRIFFITH, MALACHI · 2015 to 2016
$264k
NCI NIH HHS K22 CA188163NCI NIH HHS K22CA188163NCI NIH HHS T32 CA113275NHGRI NIH HHS K99 HG007940NHGRI NIH HHS K99HG007940NHGRI NIH HHS R00 HG007940
6 · The paper itself

Abstract

Massively parallel RNA sequencing (RNA-seq) has rapidly become the assay of choice for interrogating RNA transcript abundance and diversity. This article provides a detailed introduction to fundamental RNA-seq molecular biology and informatics concepts. We make available open-access RNA-seq tutorials that cover cloud computing, tool installation, relevant file formats, reference genomes, transcriptome annotations, quality-control strategies, expression, differential expression, and alternative splicing analysis methods. These tutorials and additional training resources are accompanied by complete analysis pipelines and test datasets made available without encumbrance at www.rnaseq.wiki.

Indexed as

InternetRNASoftwareComputational BiologyGene Expression ProfilingHumansSequence Analysis, RNARNA

Identifiers

PMID26248053
PMCPMC4527835

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.