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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 comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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CGG toolkit: Software components for computational genomics.

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Summary
This summary is machine-generated.

Established bioinformatics software for genomics research is now publicly available as open-source tools. This ensures long-term access and reproducibility for critical computational genomics methods in life sciences research.

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Area of Science:

  • Computational Genomics
  • Bioinformatics
  • Life Sciences

Background:

  • Public-domain availability is crucial for the long-term permanence and reproducibility of bioinformatics software.
  • Research software, especially widely used methods, often faces funding discontinuities, risking accessibility.
  • Established computational genomics tools require re-launching to ensure continued use and development.

Purpose of the Study:

  • To re-launch established bioinformatics software components for computational genomics as open-source resources.
  • To ensure long-term permanence and methodological reproducibility for critical life sciences research.
  • To provide a flexible genome comparison software pipeline for research.

Main Methods:

  • Re-launching legacy software (version 1.0.1) including MagicMatch, GeneCAST, CoGenT scripts, GeneRAGE, and DifFuse.
  • Making these tools available online as open source.
  • Providing documentation and examples for basic use and pictorial representations.

Main Results:

  • A suite of established bioinformatics tools for sequence matching, masking, searching, clustering, and visualization is now publicly available.
  • The re-launched software supports protein family discovery, annotation, and functional characterization on a genome scale.
  • The toolkit functions as a flexible genome comparison software pipeline.

Conclusions:

  • The open-source re-launch of these bioinformatics tools ensures their continued accessibility and use in computational genomics.
  • This initiative supports methodological reproducibility and long-term research in the life sciences.
  • The provided toolkit facilitates genome-scale analysis and protein family discovery.