Evidence map›Paper›PMID 33299553›Full record

ArticleF1000Research2020

BCO App: tools for generating BioCompute Objects from next-generation sequencing workflows and computations.

Nan Xiao, Soner Koc, David Roberson, Phillip Brooks, Manisha Ray, Dennis Dean

Abstract read
In one paragraph

Article in F1000Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Bioinformatics tools developed to support BioCompute Objects.Database : the journal of biological databases and curation · 2021
    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.

Nan XiaoSeven Bridges Genomics, Inc., Charlestown, MA, 02129, USA.ORCID 0000-0002-0250-5673
Soner KocSeven Bridges Genomics, Inc., Charlestown, MA, 02129, USA.ORCID 0000-0002-0772-6600
David RobersonSeven Bridges Genomics, Inc., Charlestown, MA, 02129, USA.
Phillip BrooksSeven Bridges Genomics, Inc., Charlestown, MA, 02129, USA.ORCID 0000-0003-3987-244X
Manisha RaySeven Bridges Genomics, Inc., Charlestown, MA, 02129, USA.
Dennis DeanSeven Bridges Genomics, Inc., Charlestown, MA, 02129, USA.ORCID 0000-0002-7621-9717

Funding

PDXNet Data Commons and Coordinating CenterU24CA224067 · NCI · JACKSON LABORATORY · PI Jeffrey Hsu-Min Chuang · 2017 to 2026
$9.8M
NCI NIH HHS HHSN261201400008CNCI NIH HHS HHSN261201500003INCI NIH HHS U24 CA224067
6 · The paper itself

Abstract

The BioCompute Object (BCO) standard is an IEEE standard (IEEE 2791-2020) designed to facilitate the communication of next-generation sequencing data analysis with applications across academia, government agencies, and industry. For example, the Food and Drug Administration (FDA) supports the standard for regulatory submissions and includes the standard in their Data Standards Catalog for the submission of HTS data. We created the BCO App to facilitate BCO generation in a range of computational environments and, in part, to participate in the Advanced Track of the precisionFDA BioCompute Object App-a-thon. The application facilitates the generation of BCOs from both workflow metadata provided as plaintext and from workflow contents written in the Common Workflow Language. The application can also access and ingest task execution results from the Cancer Genomics Cloud (CGC), an NCI funded computational platform. Creating a BCO from a CGC task significantly reduces the time required to generate a BCO on the CGC by auto-populating workflow information fields from CGC workflow and task execution results. The BCO App supports exporting BCOs as JSON or PDF files and publishing BCOs to both the CGC platform and to GitHub repositories.

Indexed as

Computational BiologyMobile ApplicationsGenomicsHigh-Throughput Nucleotide SequencingWorkflowBCO AppBioCompute ObjectCancer Genomics CloudCommon Workflow LanguageIEEE 2791-2020precisionFDA

Identifiers

PMID33299553
PMCPMC7702177

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.