Evidence map›Paper›PMID 28522612›Full record

ArticleGenome research2017

GenomeVIP: a cloud platform for genomic variant discovery and interpretation.

R Jay Mashl, Adam D Scott, Kuan-Lin Huang, Matthew A Wyczalkowski, Christopher J Yoon, Beifang Niu, Erin DeNardo, Venkata D Yellapantula, Robert E Handsaker, Ken Chen and 6 more

Abstract read
In one paragraph

Article in Genome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

16 authors.

R Jay MashlMcDonnell Genome Institute, Washington University, St. Louis, Missouri 63108, USA.
Adam D ScottMcDonnell Genome Institute, Washington University, St. Louis, Missouri 63108, USA.
Kuan-Lin HuangMcDonnell Genome Institute, Washington University, St. Louis, Missouri 63108, USA.
Matthew A WyczalkowskiMcDonnell Genome Institute, Washington University, St. Louis, Missouri 63108, USA.
Christopher J YoonMcDonnell Genome Institute, Washington University, St. Louis, Missouri 63108, USA.
Beifang NiuMcDonnell Genome Institute, Washington University, St. Louis, Missouri 63108, USA.
Erin DeNardoMcDonnell Genome Institute, Washington University, St. Louis, Missouri 63108, USA.
Venkata D YellapantulaMcDonnell Genome Institute, Washington University, St. Louis, Missouri 63108, USA.
Robert E HandsakerStanley Center for Psychiatric Research, Broad Institute, Cambridge, Massachusetts 02142, USA.
Ken ChenDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
Daniel C KoboldtMcDonnell Genome Institute, Washington University, St. Louis, Missouri 63108, USA.
Kai YeMcDonnell Genome Institute, Washington University, St. Louis, Missouri 63108, USA.
David FenyöLangone Medical Center, New York University, New York, New York 10016, USA.
Benjamin J RaphaelDepartment of Computer Science and Center for Computational Molecular Biology, Brown University, Providence, Rhode Island 02912, USA.
Michael C WendlMcDonnell Genome Institute, Washington University, St. Louis, Missouri 63108, USA.
Li DingMcDonnell Genome Institute, Washington University, St. Louis, Missouri 63108, USA.

Funding

Proteogenomic Data Analysis for Cancer Systems Biology and Clinical TranslationU24CA210972 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DING, LI, FENYO, DAVID · 2016 to 2020
$3.3M
A Turnkey System for High-throughput Variant Discovery and InterpretationU01HG006517 · NHGRI · WASHINGTON UNIVERSITY · PI DING, LI · 2012 to 2015
$3.0M
Deep Discovery and Clinical Interpretation of Germline and Somatic Cancer DriversU24CA211006 · NCI · WASHINGTON UNIVERSITY · PI DING, LI, GOVINDAN, RAMASWAMY · 2016 to 2020
$1.8M
Delineating Heterogeneous Structural Complexity in Cancer GenomesR01CA172652 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHEN, KEN · 2013 to 2016
$1.4M
CANCER SUSCEPTIBILITY VARIANT DISCOVERY IN HIGH THROUGHPUT SEQUENCING DATAR01CA180006 · NCI · WASHINGTON UNIVERSITY · PI DING, LI · 2013 to 2016
$1.1M
VIRUS DISCOVERY AND CHARACTERIZATION IN LARGE-SCALE CANCER SEQUENCING DATAR01CA178383 · NCI · WASHINGTON UNIVERSITY · PI DING, LI · 2014 to 2016
$772k
NCI NIH HHS R01 CA172652NCI NIH HHS R01 CA178383NCI NIH HHS R01 CA180006NCI NIH HHS U24 CA210972NCI NIH HHS U24 CA211006NHGRI NIH HHS U01 HG006517
6 · The paper itself

Abstract

Identifying genomic variants is a fundamental first step toward the understanding of the role of inherited and acquired variation in disease. The accelerating growth in the corpus of sequencing data that underpins such analysis is making the data-download bottleneck more evident, placing substantial burdens on the research community to keep pace. As a result, the search for alternative approaches to the traditional "download and analyze" paradigm on local computing resources has led to a rapidly growing demand for cloud-computing solutions for genomics analysis. Here, we introduce the Genome Variant Investigation Platform (GenomeVIP), an open-source framework for performing genomics variant discovery and annotation using cloud- or local high-performance computing infrastructure. GenomeVIP orchestrates the analysis of whole-genome and exome sequence data using a set of robust and popular task-specific tools, including VarScan, GATK, Pindel, BreakDancer, Strelka, and Genome STRiP, through a web interface. GenomeVIP has been used for genomic analysis in large-data projects such as the TCGA PanCanAtlas and in other projects, such as the ICGC Pilots, CPTAC, ICGC-TCGA DREAM Challenges, and the 1000 Genomes SV Project. Here, we demonstrate GenomeVIP's ability to provide high-confidence annotated somatic, germline, and de novo variants of potential biological significance using publicly available data sets.

Indexed as

Cloud ComputingGenetic VariationGenome, HumanSoftwareDatabases, GeneticGenomicsHigh-Throughput Nucleotide SequencingHumansNeoplasms

Identifiers

PMID28522612
PMCPMC5538560

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.