Evidence map›Paper›PMID 29649993›Full record

ArticleBMC bioinformatics2018

VIPER: Visualization Pipeline for RNA-seq, a Snakemake workflow for efficient and complete RNA-seq analysis.

MacIntosh Cornwell, Mahesh Vangala, Len Taing, Zachary Herbert, Johannes Köster, Bo Li, Hanfei Sun, Taiwen Li, Jian Zhang, Xintao Qiu and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 144 papers.

0numbers the graph read from it
0cells of the map it votes in
144citing papers in PubMed
9.4field-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

144 citing papers in PubMed, 225 citations in OpenAlex.

  1. A Phase II Study of Abemaciclib for Patients with Retinoblastoma-Positive, Metastatic Triple-Negative Breast Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Trial
  2. Screening for candidate genes and cell populations associated with atherosclerotic calcification using single-cell RNA sequencing.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
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  9. Aging-associated differences in mammary tumor-initiating populations and immune evasion pathways in breast cancer.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  10. Article
  11. Evaluation of targeted and immune combination therapies in a rat model of hormone receptor-positive breast cancer.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  12. Lack of synergy between AR-targeted therapies and PARP inhibitors in homologous recombination-proficient prostate cancer.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  13. Article
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  17. BET Bromodomain Inhibition Reverses CDK4/6 Inhibitor Resistance in Estrogen Receptor-Positive Breast Cancer via Induction of miR-34a-5p.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  18. Article
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  20. Article

84 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 5 institutions in 3 countries.

MacIntosh CornwellDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
Mahesh VangalaUniversity of Massachusetts Medical School, Worcester, MA, 01655, USA.
Len TaingDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
Zachary HerbertMolecular Biology Core Facilities, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
Johannes KösterDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
Bo LiDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard School of Public Health, Boston, MA, 02215, USA.
Hanfei SunDepartment of Bioinformatics, School of Life Sciences, Tongji University, Shanghai, 200092, China.
Taiwen LiState Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
Jian ZhangBeijing Institute of Basic Medical Sciences, Beijing, China.
Xintao QiuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
Matthew PunDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
Rinath JeselsohnDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
Myles BrownDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
X Shirley LiuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
Henry W LongDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA. henry_long@dfci.harvard.edu.
Dana-Farber Cancer Institute · USBeijing Institute of Education · CNState Key Laboratory of Oral DiseasesTongji University · CNUniversity of Massachusetts Chan Medical School · US

Funding

Developing Informatics Technologies to Model Cancer Gene RegulationU01CA180980 · NCI · DANA-FARBER CANCER INST · PI LIU, XIAOLE SHIRLEY · 2013 to 2015
$1.1M
Elucidating and overcoming endocrine resistance driven by ESR1 mutationsK08CA191058 · NCI · DANA-FARBER CANCER INST · PI JESELSOHN, RINATH M. · 2015 to 2019
$886k
National Natural Science Foundation of China 31329003NCI NIH HHS K08 CA191058NIH HHS U01 CA180980
6 · The paper itself

Abstract

backgroundRNA sequencing has become a ubiquitous technology used throughout life sciences as an effective method of measuring RNA abundance quantitatively in tissues and cells. The increase in use of RNA-seq technology has led to the continuous development of new tools for every step of analysis from alignment to downstream pathway analysis. However, effectively using these analysis tools in a scalable and reproducible way can be challenging, especially for non-experts.

resultsUsing the workflow management system Snakemake we have developed a user friendly, fast, efficient, and comprehensive pipeline for RNA-seq analysis. VIPER (Visualization Pipeline for RNA-seq analysis) is an analysis workflow that combines some of the most popular tools to take RNA-seq analysis from raw sequencing data, through alignment and quality control, into downstream differential expression and pathway analysis. VIPER has been created in a modular fashion to allow for the rapid incorporation of new tools to expand the capabilities. This capacity has already been exploited to include very recently developed tools that explore immune infiltrate and T-cell CDR (Complementarity-Determining Regions) reconstruction abilities. The pipeline has been conveniently packaged such that minimal computational skills are required to download and install the dozens of software packages that VIPER uses.

conclusionsVIPER is a comprehensive solution that performs most standard RNA-seq analyses quickly and effectively with a built-in capacity for customization and expansion.

Indexed as

SoftwareWorkflowBase SequenceCluster AnalysisDown-RegulationGene Expression ProfilingGene OntologyHigh-Throughput Nucleotide SequencingRNA, MessengerSequence AlignmentSequence Analysis, RNASignal TransductionUp-RegulationRNA, MessengerAnalysisGene fusionImmunological infiltratePipelineRNA-seqSnakemake

Identifiers

PMID29649993
PMCPMC5897949
OpenAlexW2799170276

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.