Evidence map›Paper›PMID 25294974›Full record

ArticleConcurrency and computation : practice & experience2014

Enabling large-scale next-generation sequence assembly with Blacklight.

M Brian Couger, Lenore Pipes, Fabio Squina, Rolf Prade, Adam Siepel, Robert Palermo, Michael G Katze, Christopher E Mason, Philip D Blood

Abstract read
In one paragraph

Article in Concurrency and computation : practice & experience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

M Brian CougerDepartment of Microbiology and Molecular Genetics, Oklahoma State University, 1110 South Innovation Way. Stillwater, OK, 74078 USA.
Lenore PipesDepartment of Biological Statistics and Computational Biology, Weill Hall, Cornell University, Ithaca, NY, 14850 USA.
Fabio SquinaLaboratório Nacional de Ciência e Tecnologia do Bioetanol, Centro Nacional de Pesquisa em Energia e Materiais, Campinas-SP, 13083-970, Brazil.
Rolf PradeDepartment of Microbiology and Molecular Genetics, Oklahoma State University, 1110 South Innovation Way. Stillwater, OK, 74078 USA.
Adam SiepelDepartment of Biological Statistics and Computational Biology, Weill Hall, Cornell University, Ithaca, NY, 14850 USA.
Robert PalermoDepartment of Microbiology, University of Washington, Seattle, WA, 98109 USA.
Michael G KatzeDepartment of Microbiology, University of Washington, Seattle, WA, 98109 USA.
Christopher E MasonDepartment of Physiology and Biophysics, Weill Cornell Medical College, New York, NY, USA.
Philip D BloodPittsburgh Supercomputing Center, Carnegie Mellon University, 300 S. Craig St. Pittsburgh, PA, 15213 USA.

Funding

Washington National Primate Research CenterP51OD010425 · OD · UNIVERSITY OF WASHINGTON · PI Mari Ostendorf · 2012 to 2026
$201.8M
Epigenome Interactions in Complex Neurogenetic DisordersR01NS076465 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI MASON, CHRISTOPHER EDWARD, ROSS, MARGARET ELIZABETH · 2011 to 2015
$5.8M
Tri-Institutional Training Program in Computational Biology & MedicineT32GM083937 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHRISTINI, DAVID J. · 2009 to 2018
$3.1M
Development of nonhuman primate reference transcriptome resourcesR24OD011172 · OD · UNIVERSITY OF WASHINGTON · PI KATZE, MICHAEL G · 2012 to 2014
$2.3M
Integrative analysis tools to dissect cell-type specific transcriptional programsR01HG006798 · NHGRI · SLOAN-KETTERING INST CAN RESEARCH · PI LESLIE, CHRISTINA S · 2012 to 2014
$1.6M
Development of nonhuman primate reference transcriptome resourcesR24RR032341 · NCRR · UNIVERSITY OF WASHINGTON · PI KATZE, MICHAEL G · 2011 to 2011
$791k
NCRR NIH HHS R24 RR032341NHGRI NIH HHS R01 HG006798NIGMS NIH HHS T32 GM083937NIH HHS P51 OD010425NIH HHS R24 OD011172NINDS NIH HHS R01 NS076465
6 · The paper itself

Abstract

A variety of extremely challenging biological sequence analyses were conducted on the XSEDE large shared memory resource Blacklight, using current bioinformatics tools and encompassing a wide range of scientific applications. These include genomic sequence assembly, very large metagenomic sequence assembly, transcriptome assembly, and sequencing error correction. The data sets used in these analyses included uncategorized fungal species, reference microbial data, very large soil and human gut microbiome sequence data, and primate transcriptomes, composed of both short-read and long-read sequence data. A new parallel command execution program was developed on the Blacklight resource to handle some of these analyses. These results, initially reported previously at XSEDE13 and expanded here, represent significant advances for their respective scientific communities. The breadth and depth of the results achieved demonstrate the ease of use, versatility, and unique capabilities of the Blacklight XSEDE resource for scientific analysis of genomic and transcriptomic sequence data, and the power of these resources, together with XSEDE support, in meeting the most challenging scientific problems.

Indexed as

bioinformaticsdata-intensive computingde novo assemblygenomegenomicshigh-performance computinglarge shared memory computingmetagenomeNGSprimatesRNA-seqtranscriptome

Identifiers

PMID25294974
PMCPMC4185199

What OpenQuestion holds

Textmetadata
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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.