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Related Concept Videos

Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Genome-wide Association Studies-GWAS01:11

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Related Experiment Video

Updated: Mar 18, 2026

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
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The GenABEL Project for statistical genomics.

Lennart C Karssen1, Cornelia M van Duijn2, Yurii S Aulchenko3

  • 1PolyOmica, Groningen, 9722 HC, Netherlands; Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3000 CA, Netherlands.

F1000Research
|June 28, 2016
PubMed
Summary
This summary is machine-generated.

The GenABEL project fosters an open community for developing statistical genomics software, promoting interdisciplinary collaboration and agile methodology development. This open science model encourages broad participation, leading to efficient and user-friendly tools for statistical omics research.

Keywords:
Community buildingGenomicsOpen sourceScientific softwareSoftware developmentStatistical geneticsStatistical methodology

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Scientific software development often lacks community involvement, with tools becoming stagnant after publication.
  • Most scientific software is created by a small number of authors, limiting its long-term development and reach.

Purpose of the Study:

  • To describe the formation and success of a multidisciplinary community around statistical genomics software.
  • To highlight the GenABEL project's model for promoting open, interdisciplinary development of statistical methodology and software.

Main Methods:

  • Established a broad, multidisciplinary community around the GenABEL suite of statistical genomics tools.
  • Utilized an open framework encouraging community involvement from methodology formulation to software application.
  • Employed a web forum for user support and discussion, and a mailing list for developer collaboration.
  • Implemented robust development practices: public version control, code review, and continuous integration.

Main Results:

  • The GenABEL project successfully created a collaborative environment for statistical omics software development.
  • The open science model attracted contributions from external users and developers, expanding the core team.
  • Facilitated agile development of statistical omics methodologies and rapid dissemination of software tools.

Conclusions:

  • An open science model can effectively foster community-driven development of scientific software.
  • The GenABEL project demonstrates a successful approach to interdisciplinary collaboration in statistical genomics.
  • This model accelerates the advancement and adoption of statistical omics methodologies and tools.