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Updated: Jul 20, 2026
07:09
A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
Published on: May 28, 2021
SPEED: a molecular-evolution-based database of mammalian orthologous groups
Eric J Vallender1, Justin E Paschall, Christine M Malcom
1Department of Human Genetics and Committee on Genetics, Howard Hughes Medical Institute, University of Chicago 920 East 58th Street, Chicago, IL 60637, USA.
Bioinformatics (Oxford, England)
|September 13, 2006
Summary
This study introduces SPEED, a novel toolkit designed to facilitate high-throughput analysis of molecular evolution data. SPEED integrates genetic resources and provides access to orthologous gene groups for multidisciplinary research.
Area of Science:
- Bioinformatics
- Computational Biology
- Molecular Evolution
Background:
- Vast amounts of nucleotide sequence data are available, yet full potential of whole-genome analysis remains untapped due to inadequate tools.
- Multidisciplinary research in molecular evolution requires advanced computational tools for high-throughput analysis.
Purpose of the Study:
- To present SPEED, a novel toolkit for high-throughput analysis in molecular evolution.
- To provide integrated access to molecular evolutionary data and genetic resources.
Main Methods:
- Development of a toolkit named SPEED.
- Integration of 17,352 orthologous gene groups.
- Inclusion of representatives from eight mammalian species and an avian outgroup.
Main Results:
- SPEED offers a straightforward user interface for accessing integrated molecular evolutionary data.
- The toolkit facilitates multidisciplinary analysis of large-scale genomic information.
Conclusions:
- SPEED was developed to bridge the gap between abundant sequence data and analytical tool limitations.
- The toolkit enhances the study of molecular evolution by providing access to curated orthologous gene groups across species.
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