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Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
Published on: July 14, 2023
SigCS base: an integrated genetic information resource for human cerebral stroke
Young-Kyu Park1, Ok Sun Bang, Min-Ho Cha
1Medical Genome Research Center, KRIBB, Daejeon 305-806, Korea.
BMC Systems Biology
|July 13, 2012
Summary
SigCS base integrates genetic variants, genes, and pathways to elucidate stroke mechanisms. This resource aids researchers in identifying genetic factors and understanding stroke
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Understanding stroke requires integrating genetic components of risk factors.
- Evaluating genetic factors through biological function and pathway-based algorithms is crucial.
- Identifying molecular and genetic causes of stroke necessitates comprehensive data on genomic variants, genes, and pathways.
Purpose of the Study:
- To develop a centralized resource for researchers studying the genetic underpinnings of stroke.
- To provide a pathway-based approach for analyzing stroke-related genetic information.
- To facilitate the integration and evaluation of genetic risk factors in stroke etiology.
Main Methods:
- Collected and extracted genetic variants, gene structure, phenotypes, and literature data from public databases.
- Analyzed stroke-related candidate pathways and genes using canonical pathways in biological pathway databases.
- Developed a relational database, SigCS base, with an integrated web retrieval system.
Main Results:
- SigCS base contains 1943 non-redundant genes, 11472 genetic variants, and 165 non-redundant pathways.
- The web retrieval system offers gene-based and pathway-based variant searches.
- SigCS base is accessible at http://sysbio.kribb.re.kr/sigcs.
Conclusions:
- SigCS base aids in identifying genetic factors associated with stroke.
- The tool assists in selecting candidate genes and variants for experimental studies.
- SigCS base facilitates examination of pathways contributing to stroke pathophysiology.
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