Evidence map›Paper›PMID 24972667›Full record

ArticleBMC bioinformatics2014

MAP-RSeq: Mayo Analysis Pipeline for RNA sequencing.

Krishna R Kalari, Asha A Nair, Jaysheel D Bhavsar, Daniel R O'Brien, Jaime I Davila, Matthew A Bockol, Jinfu Nie, Xiaojia Tang, Saurabh Baheti, Jay B Doughty and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 272 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
272citing papers in PubMed, 2 pooled it
7.5field-weighted citation impact, top 2% 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

272 citing papers in PubMed, 2 syntheses or guidelines pooled it, 468 citations in OpenAlex.

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  14. Amivantamab Induces Immune-Mediated Cytotoxicity in Mesothelioma Through EGFR and MET Engagement.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2026
    Article
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  17. Concomitant ClonalHematology reports · 2026
    Article
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212 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 2 institutions in 1 country.

Krishna R Kalari
Asha A Nair
Jaysheel D Bhavsar
Daniel R O'Brien
Jaime I Davila
Matthew A Bockol
Jinfu Nie
Xiaojia Tang
Saurabh Baheti
Jay B Doughty
Sumit Middha
Hugues Sicotte
Aubrey E Thompson
Yan W Asmann
Jean-Pierre A KocherDepartment of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA. kocher.jeanpierre@mayo.edu.
Mayo Clinic in Florida · USMayo Clinic · US

Funding

The Role of CHFR in Tumorigenesis and Paclitaxel-Sensitivity in Breast CancerP50CA116201 · NCI · MAYO CLINIC ROCHESTER · PI PETER C LUCAS · 2005 to 2026
$49.9M
6 · The paper itself

Abstract

backgroundAlthough the costs of next generation sequencing technology have decreased over the past years, there is still a lack of simple-to-use applications, for a comprehensive analysis of RNA sequencing data. There is no one-stop shop for transcriptomic genomics. We have developed MAP-RSeq, a comprehensive computational workflow that can be used for obtaining genomic features from transcriptomic sequencing data, for any genome.

resultsFor optimization of tools and parameters, MAP-RSeq was validated using both simulated and real datasets. MAP-RSeq workflow consists of six major modules such as alignment of reads, quality assessment of reads, gene expression assessment and exon read counting, identification of expressed single nucleotide variants (SNVs), detection of fusion transcripts, summarization of transcriptomics data and final report. This workflow is available for Human transcriptome analysis and can be easily adapted and used for other genomes. Several clinical and research projects at the Mayo Clinic have applied the MAP-RSeq workflow for RNA-Seq studies. The results from MAP-RSeq have thus far enabled clinicians and researchers to understand the transcriptomic landscape of diseases for better diagnosis and treatment of patients.

conclusionsOur software provides gene counts, exon counts, fusion candidates, expressed single nucleotide variants, mapping statistics, visualizations, and a detailed research data report for RNA-Seq. The workflow can be executed on a standalone virtual machine or on a parallel Sun Grid Engine cluster. The software can be downloaded from http://bioinformaticstools.mayo.edu/research/maprseq/.

Indexed as

Gene Expression ProfilingHealth FacilitiesSoftwareBase SequenceExonsGenomicsHigh-Throughput Nucleotide SequencingHumansSequence Analysis, RNA

Identifiers

PMID24972667
PMCPMC4228501
OpenAlexW2134513968

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.