Evidence map›Paper›PMID 20413634›Full record

ArticleBioinformatics (Oxford, England)2010

Ergatis: a web interface and scalable software system for bioinformatics workflows.

Joshua Orvis, Jonathan Crabtree, Kevin Galens, Aaron Gussman, Jason M Inman, Eduardo Lee, Sreenath Nampally, David Riley, Jaideep P Sundaram, Victor Felix and 5 more

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

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2 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.

Joshua OrvisInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA. jorvis@users.sourceforge.net
Jonathan Crabtree
Kevin Galens
Aaron Gussman
Jason M Inman
Eduardo Lee
Sreenath Nampally
David Riley
Jaideep P Sundaram
Victor Felix
Brett Whitty
Anup Mahurkar
Jennifer Wortman
Owen White
Samuel V Angiuoli

Funding

NIAID NIH HHS N01 AI030071
6 · The paper itself

Abstract

motivationThe growth of sequence data has been accompanied by an increasing need to analyze data on distributed computer clusters. The use of these systems for routine analysis requires scalable and robust software for data management of large datasets. Software is also needed to simplify data management and make large-scale bioinformatics analysis accessible and reproducible to a wide class of target users.

resultsWe have developed a workflow management system named Ergatis that enables users to build, execute and monitor pipelines for computational analysis of genomics data. Ergatis contains preconfigured components and template pipelines for a number of common bioinformatics tasks such as prokaryotic genome annotation and genome comparisons. Outputs from many of these components can be loaded into a Chado relational database. Ergatis was designed to be accessible to a broad class of users and provides a user friendly, web-based interface. Ergatis supports high-throughput batch processing on distributed compute clusters and has been used for data management in a number of genome annotation and comparative genomics projects. AVAILABILITY: Ergatis is an open-source project and is freely available at http://ergatis.sourceforge.net.

Indexed as

InternetSoftwareComputational BiologyDatabases, GeneticDatabases, ProteinWorkflow

Identifiers

PMID20413634
PMCPMC2881353

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.