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Related Concept Videos

Genomics02:02

Genomics

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...
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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: Jun 26, 2026

Identification of Functionally-Relevant Lentivirus Integration Sites in an Insertional Mutagenesis Cell Library
07:28

Identification of Functionally-Relevant Lentivirus Integration Sites in an Insertional Mutagenesis Cell Library

Published on: January 10, 2025

Solutions for data integration in functional genomics: a critical assessment and case study.

Damian Smedley1, Morris A Swertz, Katy Wolstencroft

  • 1European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK. damian@ebi.ac.uk.

Briefings in Bioinformatics
|December 30, 2008
PubMed
Summary

Data fragmentation in functional genomics hinders research. This study addresses mouse functional genomics data integration challenges and proposes automated solutions using tools like Taverna for improved data mining and computational approaches.

Related Experiment Videos

Last Updated: Jun 26, 2026

Identification of Functionally-Relevant Lentivirus Integration Sites in an Insertional Mutagenesis Cell Library
07:28

Identification of Functionally-Relevant Lentivirus Integration Sites in an Insertional Mutagenesis Cell Library

Published on: January 10, 2025

Area of Science:

  • Functional genomics
  • Systems biology
  • Bioinformatics

Background:

  • Increasing data volume from functional genomics and systems biology exceeds traditional sharing methods.
  • Data fragmentation across numerous databases complicates data mining for the model organism community.
  • The European Commission's CASIMIR project aims to improve data interoperability in mouse functional genomics.

Purpose of the Study:

  • Assess technical and social barriers to database interoperability in mouse functional genomics.
  • Review technologies to overcome current interoperability challenges.
  • Develop and evaluate an automated approach for integrated data retrieval.

Main Methods:

  • Critical review of interoperability problems and solutions.
  • Development of an in silico experimental workflow using Taverna.
  • Utilized web services, BioMart, and MOLGENIS for data retrieval.

Main Results:

  • Demonstrated an automated data gathering approach for mouse functional genomics.
  • Identified key impediments to adopting integrated data approaches.
  • Proposed strategies to overcome existing barriers.

Conclusions:

  • Addressing database interoperability is crucial for advancing mouse functional genomics research.
  • Automated workflows and specific technologies can facilitate data integration.
  • Overcoming adoption impediments is key to realizing the full potential of integrated genomic data.