Evidence map›Paper›PMID 31438850›Full record

ArticleBMC bioinformatics2019

Shared data science infrastructure for genomics data.

Hamid Bagheri, Usha Muppirala, Rick E Masonbrink, Andrew J Severin, Hridesh Rajan

Abstract read
In one paragraph

Article in BMC bioinformatics, 2019. 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. Population health management fit lifecycles in analytics.Frontiers in artificial intelligence · 2025
    Article
  2. Review
  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

5 authors.

Hamid BagheriDepartment of Computer Science, Iowa State University, 226 Atanasoff Hall, Ames, 50011, USA. hbagheri@iastate.edu.ORCID http://orcid.org/0000-0003-1540-7797
Usha MuppiralaGenome Informatics Facility, Iowa State University, 206 Science I, Ames, 50011, USA.
Rick E MasonbrinkGenome Informatics Facility, Iowa State University, 206 Science I, Ames, 50011, USA.
Andrew J SeverinGenome Informatics Facility, Iowa State University, 206 Science I, Ames, 50011, USA.
Hridesh RajanDepartment of Computer Science, Iowa State University, 226 Atanasoff Hall, Ames, 50011, USA.

Funding

Iowa State University (Presidential Initiative)National Science Foundation (CNS-15-13263)National Science Foundation (US) (CCF-15-18897)
6 · The paper itself

Abstract

backgroundCreating a scalable computational infrastructure to analyze the wealth of information contained in data repositories is difficult due to significant barriers in organizing, extracting and analyzing relevant data. Shared data science infrastructures like Boa

resultsAs a proof of concept, Boa for genomics, Boa

conclusionsIn order to keep pace with our ability to produce biological data, innovative methods are required. The Shared Data Science Infrastructure, Boa

Indexed as

Data ScienceGenomicsInformation DisseminationAnimalsDatabases, FactualDatabases, GeneticExonsGenomeSequence Analysis, DNASoftwareBoagDomain-Specific LanguageGenome AnnotationShared Data Science Infrastructure

Identifiers

PMID31438850
PMCPMC6704658

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.