Evidence map›Paper›PMID 34844637›Full record

ArticleGenome biology2021

recount3: summaries and queries for large-scale RNA-seq expression and splicing.

Christopher Wilks, Shijie C Zheng, Feng Yong Chen, Rone Charles, Brad Solomon, Jonathan P Ling, Eddie Luidy Imada, David Zhang, Lance Joseph, Jeffrey T Leek and 5 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 184 papers.

0numbers the graph read from it
0cells of the map it votes in
184citing papers in PubMed
23.4field-weighted citation impact, top 1% of its field
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

184 citing papers in PubMed, 275 citations in OpenAlex.

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  8. EpiATLAS - a reference for human epigenomic research.bioRxiv : the preprint server for biology · 2026
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124 more citing papers are in PubMed but not listed here.

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

15 authors at 6 institutions in 2 countries.

Christopher WilksDepartment of Computer Science, Johns Hopkins University, Baltimore, USA.
Shijie C ZhengDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA.
Feng Yong ChenJohns Hopkins University, Baltimore, USA.
Rone CharlesDepartment of Computer Science, Johns Hopkins University, Baltimore, USA.
Brad SolomonThomas M. Siebel Center for Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Jonathan P LingDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, USA.
Eddie Luidy ImadaDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
David ZhangInstitute of Child Health, University College London (UCL), London, UK.
Lance JosephJohns Hopkins University, Baltimore, USA.
Jeffrey T LeekDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA.
Andrew E JaffeDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA.
Abhinav NelloreDepartment of Biomedical Engineering, Oregon Health & Science University, Portland, OR, USA.
Leonardo Collado-TorresLieber Institute for Brain Development, Baltimore, USA.
Kasper D HansenDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA. khansen@jhsph.edu.
Ben LangmeadDepartment of Computer Science, Johns Hopkins University, Baltimore, USA. langmea@cs.jhu.edu.ORCID 0000-0003-2437-1976
Johns Hopkins University · USCornell University · USLieber Institute for Brain Development · USOregon Health & Science University · USUniversity College London · GBUniversity of Illinois Urbana-Champaign · US

Funding

Methods for sequencing data analysis and archive-scale data science - RenewalR35GM139602 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI Benjamin Thomas Langmead · 2021 to 2026
$5.0M
Analysis of genomics datasets at a massive scaleR01GM121459 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI HANSEN, KASPER DANIEL · 2017 to 2021
$2.3M
Hardening and Scaling Core Genomics SoftwareR01GM118568 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI LANGMEAD, BENJAMIN THOMAS · 2016 to 2020
$2.0M
Medical Research Council MR/N008324/1NIGMS NIH HHS R01 GM118568NIGMS NIH HHS R01 GM121459NIGMS NIH HHS R35 GM139602
6 · The paper itself

Abstract

We present recount3, a resource consisting of over 750,000 publicly available human and mouse RNA sequencing (RNA-seq) samples uniformly processed by our new Monorail analysis pipeline. To facilitate access to the data, we provide the recount3 and snapcount R/Bioconductor packages as well as complementary web resources. Using these tools, data can be downloaded as study-level summaries or queried for specific exon-exon junctions, genes, samples, or other features. Monorail can be used to process local and/or private data, allowing results to be directly compared to any study in recount3. Taken together, our tools help biologists maximize the utility of publicly available RNA-seq data, especially to improve their understanding of newly collected data. recount3 is available from http://rna.recount.bio .

Indexed as

RNA SplicingAnimalsBase SequenceComputational BiologyExonsGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansMiceRNARNA-SeqSequence Analysis, RNASoftwareRNA

Identifiers

PMID34844637
PMCPMC8628444
OpenAlexW3216633781

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.