Evidence map›Paper›PMID 27650223›Full record

ArticleBMC bioinformatics2016

systemPipeR: NGS workflow and report generation environment.

Tyler W H Backman, Thomas Girke

Abstract read
In one paragraph

Article in BMC bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers.

0numbers the graph read from it
0cells of the map it votes in
120citing 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

120 citing papers in PubMed.

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  9. Translational landscape during seed germination revealed by ribosome profiling.The Plant journal : for cell and molecular biology · 2026
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  18. A massive alteration of gene expression in undescended testicles of dogs and the association ofProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  19. Article
  20. Article

60 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

2 authors.

Tyler W H BackmanInstitute for Integrative Genome Biology, University of California, Riverside, 1207F Genomics Building, 3401 Watkins Drive, Riverside, 92521, CA, USA.
Thomas GirkeInstitute for Integrative Genome Biology, University of California, Riverside, 1207F Genomics Building, 3401 Watkins Drive, Riverside, 92521, CA, USA. thomas.girke@ucr.edu.ORCID http://orcid.org/0000-0003-0710-3777

Funding

MOLECULAR BASIS OF ECDYSTEROID ACTION IN THE MOSQUITOR01AI036959 · NIAID · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI RAIKHEL, ALEXANDER SIMEON, ROY, SOURAV · 1995 to 2022
$10.0M
Integrative Resource to Develop Translational Strategies to Promote LongevityU24AG051129 · NIA · CALIFORNIA PACIFIC MED CTR RES INSTITUTE · PI CUMMINGS, STEVEN RON, EVANS, DANIEL SPENCER · 2015 to 2019
$5.3M
Acquisition of a Scalable Storage Cluster for Data Intensive NIH ResearchS10OD016290 · OD · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI GIRKE, THOMAS · 2014 to 2014
$593k
NIAID NIH HHS R01 AI036959NIA NIH HHS U24 AG051129NIH HHS S10 OD016290
6 · The paper itself

Abstract

backgroundNext-generation sequencing (NGS) has revolutionized how research is carried out in many areas of biology and medicine. However, the analysis of NGS data remains a major obstacle to the efficient utilization of the technology, as it requires complex multi-step processing of big data demanding considerable computational expertise from users. While substantial effort has been invested on the development of software dedicated to the individual analysis steps of NGS experiments, insufficient resources are currently available for integrating the individual software components within the widely used R/Bioconductor environment into automated workflows capable of running the analysis of most types of NGS applications from start-to-finish in a time-efficient and reproducible manner.

resultsTo address this need, we have developed the R/Bioconductor package systemPipeR. It is an extensible environment for both building and running end-to-end analysis workflows with automated report generation for a wide range of NGS applications. Its unique features include a uniform workflow interface across different NGS applications, automated report generation, and support for running both R and command-line software on local computers and computer clusters. A flexible sample annotation infrastructure efficiently handles complex sample sets and experimental designs. To simplify the analysis of widely used NGS applications, the package provides pre-configured workflows and reporting templates for RNA-Seq, ChIP-Seq, VAR-Seq and Ribo-Seq. Additional workflow templates will be provided in the future.

conclusionssystemPipeR accelerates the extraction of reproducible analysis results from NGS experiments. By combining the capabilities of many R/Bioconductor and command-line tools, it makes efficient use of existing software resources without limiting the user to a set of predefined methods or environments. systemPipeR is freely available for all common operating systems from Bioconductor ( http://bioconductor.org/packages/devel/systemPipeR ).

Indexed as

SoftwareHigh-Throughput Nucleotide SequencingSequence Analysis, DNASequence Analysis, RNAWorkflowAnalysis workflowChIP-SeqNext Generation Sequencing (NGS)Ribo-SeqRNA-SeqVAR-Seq

Identifiers

PMID27650223
PMCPMC5029110

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.