Evidence map›Paper›PMID 37624924›Full record

ArticleBioinformatics (Oxford, England)2023

Gonomics: uniting high performance and readability for genomics with Go.

Eric H Au, Christiana Fauci, Yanting Luo, Riley J Mangan, Daniel A Snellings, Chelsea R Shoben, Seth Weaver, Shae K Simpson, Craig B Lowe

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Eric H AuDepartment of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, United States.
Christiana FauciDepartment of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, United States.
Yanting LuoDepartment of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, United States.
Riley J ManganDepartment of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, United States.ORCID 0000-0003-3342-3934
Daniel A SnellingsDepartment of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, United States.
Chelsea R ShobenDepartment of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, United States.
Seth WeaverDepartment of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, United States.
Shae K SimpsonDepartment of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, United States.
Craig B LoweDepartment of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, United States.ORCID 0000-0002-6838-1976

Funding

From a Long List to Causal Variants: High-Throughput Gene Regulatory Assays in Developing TissuesR35HG011332 · NHGRI · DUKE UNIVERSITY · PI LOWE, CRAIG BARRETT · 2020 to 2024
$2.3M
NHGRI NIH HHS R35 HG011332
6 · The paper itself

Abstract

summaryMany existing software libraries for genomics require researchers to pick between competing considerations: the performance of compiled languages and the accessibility of interpreted languages. Go, a modern compiled language, provides an opportunity to address this conflict. We introduce Gonomics, an open-source collection of command line programs and bioinformatic libraries implemented in Go that unites readability and performance for genomic analyses. Gonomics contains packages to read, write, and manipulate a wide array of file formats (e.g. FASTA, FASTQ, BED, BEDPE, SAM, BAM, and VCF), and can convert and interface between these formats. Furthermore, our modular library structure provides a flexible platform for researchers developing their own software tools to address specific questions. These commands can be combined and incorporated into complex pipelines to meet the growing need for high-performance bioinformatic resources. AVAILABILITY AND IMPLEMENTATION: Gonomics is implemented in the Go programming language. Source code, installation instructions, and documentation are freely available at https://github.com/vertgenlab/gonomics.

Indexed as

ComprehensionGenomicsComputational BiologyDocumentationProgramming Languages

Identifiers

PMID37624924
PMCPMC10466080

What Socratic 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 Socratic graph.