The GCAT study section reviews grant applications involved with the development of tools and methodologies or the application of emerging technologies to the global and integrative analysis of biological systems. Applications that are focused on applying established methods or that focus on a specific disease or molecular mechanism are not suitable for review by GCAT.
The List of Reviewers lists all present, whether permanent or temporary, to provide the full scope of expertise present on that date. Lists are posted 30 days before the meeting and are tentative, pending any last minute changes.
The membership panel is a list of chartered members only.
- Generation, analysis, and mining of –omic datasets: genetic, epigenetic, biochemical, gene expression, metabolic, proteomic, microarray, sequencing.
- Large-scale genomic, genetic, and epigenetic resources: collections of mutant strains and lines, tagged genes, small molecule probes, model organism systems for genetic, genomic or high throughput analyses, high throughput genetic and epigenetic technologies, classification and annotation systems for genetic and epigenetic data including databases and user interfaces.
- Development and application of emerging genomic and epigenomic technologies to cellular, metabolic or disease pathways.
- Computational and mathematical representation and simulation of genetic and genomic systems: population genetics, gene mapping, genetic and biochemical networks, genetic and epigenetic systems biology, signaling pathways, physiological or metabolic systems, integration of –omic datasets.
- Development of new computational algorithms and software as applied to –omic/genetic data.
Shared Interests and Overlaps
There are shared interests with Genetics of Health and Disease (GHD) in the application of genomic technologies to the identification of genes involved in human disease. Grant applications where the main focus is the development of new methods irrespective of the disease may be assigned to GCAT. Grant applications where the main focus is to identify genes for a specific disease using existing methodologies may be assigned to GHD.
There are shared interests with Biodata Management and Analysis (BDMA) in the computational analysis of ‘–omics’ data. Applications that propose to develop computational methods and tools for improving ‘-omics’ data analysis and integration may be assigned to BDMA. Applications developing such methods with a focus on fundamental biological questions may be assigned to GCAT.
There are shared interests with Cancer Genetics Study Section (CG) in the applications that propose analysis and mining of ‘-omic’ datasets. Applications focusing mainly on analysis and mining of “–omic” datasets and application of bioinformatics to study genomes, transcriptomes and proteomes of tumors and cancer cell(s), including structural variation and phylogenetic analysis of tumors should be assigned to CG. Applications that propose to develop new computational methods or technologies, which may also be applied to other diseases, are more suitable for GCAT.
There are shared interests with Molecular Genetics A (MGA) and Molecular Genetics B (MGB) in the analysis of processes related to transcription, splicing, epigenetics, DNA replication and repair, and translation. Applications that develop and apply novel and emerging technologies to study and catalog these processes at a genomic scale may be assigned to GCAT. Applications that focus on elucidating the molecular mechanism of these processes may be assigned to MGA or MGB.
There are shared interests with Genetic Variation and Evolution (GVE) in studies of genetic variation in humans and model organisms. Applications with an evolutionary focus that use existing computational methods, or applications to develop new methods for evolutionary theory, may be reviewed in GVE. Applications proposing new computational methods as applied to genetic variation may be reviewed in GCAT.
There are shared interests with Biostatistical Methods and Research Design Study Section (BMRD) in the development of statistical methodology as related to human genetic studies. Applications where the main focus is on development of statistical genetic methods may be assigned to BMRD. Applications whose primary focus is the development of methods to address specific questions in genetics or genomics may be assigned to GCAT.
There are shared interests with Prokaryotic Cell and Molecular Biology Study Section (PCMB). Studies of processes of microbial communities may be reviewed by PCMB. Development of metagenomic analysis methods may be assigned to GCAT.