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Related Concept Videos

Genomics02:02

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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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Related Experiment Video

Updated: Oct 5, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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Development of an Expert Knowledge-Based Genomic Variant Prioritisation Platform.

Aurora Sucre1,2, Gregory Maclair1, Iride Martinez3

  • 1Vicomtech Foundation, Basque Research and Technology Alliance (BRTA), Mikeletegi 57, Donostia-San Sebastián, Spain.

Studies in Health Technology and Informatics
|January 22, 2022
PubMed
Summary

A new user-friendly tool, CRIBOMICS, simplifies next-generation sequencing (NGS) data analysis for non-experts. It automates variant prioritization and annotation, reducing errors and analysis time for genetic diagnosis.

Keywords:
Genomicsgenetic variants prioritisationstandalone tooluser-centred design

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Next-generation sequencing (NGS) generates vast amounts of data, posing challenges for researchers without specialized bioinformatics expertise.
  • Exploiting NGS data for genetic diagnosis requires sophisticated analytical skills, limiting accessibility for many scientists.

Purpose of the Study:

  • To develop a user-friendly analytical tool for non-bioinformatics experts to process and interpret NGS genomic data.
  • To enable automated prioritization and annotation of genomic variants, facilitating genetic diagnosis.

Main Methods:

  • A user-centered, iterative development methodology was employed to create the analytical tool.
  • The tool integrates pre-processing pipelines, data filtering, and annotation using diverse databases.
  • An expert-based scoring system assists in prioritizing relevant genomic variants.

Main Results:

  • The developed tool, CRIBOMICS, was found to be easy to learn, use, and interact with by end-users.
  • The system effectively automates the prioritization of genomic variants.
  • Analysis time and potential errors in variant prioritization for genetic diagnosis were significantly reduced.

Conclusions:

  • CRIBOMICS empowers non-bioinformatics experts to confidently analyze NGS data.
  • The tool streamlines the process of variant prioritization, enhancing efficiency in genetic diagnosis.
  • This user-friendly approach democratizes access to advanced genomic data analysis.