Evidence map›Paper›PMID 26124554›Full record

ArticleBioinformation2015

Omics Metadata Management Software (OMMS).

Martha O Perez-Arriaga, Susan Wilson, Kelly P Williams, Joseph Schoeniger, Russel L Waymire, Amy Jo Powell

Abstract read
In one paragraph

Article in Bioinformation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Martha O Perez-ArriagaDepartment of Computer Science, Mail stop: MSC01 1130, 1 University of New Mexico, Albuquerque, NM 87131-0001.
Susan WilsonCenter for Advanced Research Computing, University of New Mexico, Albuquerque, NM 87131.
Kelly P WilliamsSystems Biology, Sandia National Laboratories, Mail Stop 9291, Livermore, CA 94550.
Joseph SchoenigerSystems Biology, Sandia National Laboratories, Mail Stop 9291, Livermore, CA 94550.
Russel L WaymireSecurity Systems Analysis, Sandia National Laboratories, Mail Stop 0757, Albuquerque, NM 87123.
Amy Jo PowellCenter for Advanced Research Computing, University of New Mexico, Albuquerque, NM 87131 ; Department of Biology, Mail stop: MSC03 2020, 1 University of New Mexico, Albuquerque, NM 87131-0001 ; Computational Simulation Infrastructure, Sandia National Laboratories, Mail Stop 0845, Albuquerque, NM 87123.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledNext-generation sequencing projects have underappreciated information management tasks requiring detailed attention to specimen curation, nucleic acid sample preparation and sequence production methods required for downstream data processing, comparison, interpretation, sharing and reuse. The few existing metadata management tools for genome-based studies provide weak curatorial frameworks for experimentalists to store and manage idiosyncratic, project-specific information, typically offering no automation supporting unified naming and numbering conventions for sequencing production environments that routinely deal with hundreds, if not thousands of samples at a time. Moreover, existing tools are not readily interfaced with bioinformatics executables, (e.g., BLAST, Bowtie2, custom pipelines). Our application, the Omics Metadata Management Software (OMMS), answers both needs, empowering experimentalists to generate intuitive, consistent metadata, and perform analyses and information management tasks via an intuitive web-based interface. Several use cases with short-read sequence datasets are provided to validate installation and integrated function, and suggest possible methodological road maps for prospective users. Provided examples highlight possible OMMS workflows for metadata curation, multistep analyses, and results management and downloading. The OMMS can be implemented as a stand alone-package for individual laboratories, or can be configured for webbased deployment supporting geographically-dispersed projects. The OMMS was developed using an open-source software base, is flexible, extensible and easily installed and executed. The OMMS can be obtained at http://omms.sandia.gov. AVAILABILITY: The OMMS can be obtained at http://omms.sandia.gov.

Indexed as

Bioinformaticsbiological curationintegrated workflownext-generation sequencingomicsopen-source softwarerelational database management system

Identifiers

PMID26124554
PMCPMC4479048

What OpenQuestion holds

Textmetadata
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.