Integrating human omics data to prioritize candidate genes
نویسندگان
چکیده
منابع مشابه
Integrating omics data and protein interaction networks to prioritize driver genes in cancer
Although numerous approaches have been proposed to discern driver from passenger, identification of driver genes remains a critical challenge in the cancer genomics field. Driver genes with low mutated frequency tend to be filtered in cancer research. In addition, the accumulation of different omics data necessitates the development of algorithmic frameworks for nominating putative driver genes...
متن کاملTitle Integration of Multiple Data Sources to Prioritize Candidate Genes Using Discounted Rating System Integration of Multiple Data Sources to Prioritize Candidate Genes Using Discounted Rating System
Background: Identifying disease gene from a list of candidate genes is an important task in bioinformatics. The main strategy is to prioritize candidate genes based on their similarity to known disease genes. Most of existing gene prioritization methods access only one genomic data source, which is noisy and incomplete. Thus, there is a need for the integration of multiple data sources containi...
متن کاملHybridRanker: Integrating network structure and disease knowledge to prioritize cancer candidate genes
One of the notable fields in studying the genetics of cancer is disease gene identification which affects disease treatment and drug discovery. Many researches have been done in this field. Genome-wide association studies (GWAS) are one of them that focus on the identification of diseases-susceptible loci on chromosomes. Recently, computational approaches, known as gene prioritization methods h...
متن کاملA guide to web tools to prioritize candidate genes
Finding the most promising genes among large lists of candidate genes has been defined as the gene prioritization problem. It is a recurrent problem in genetics in which genetic conditions are reported to be associated with chromosomal regions. In the last decade, several different computational approaches have been developed to tackle this challenging task. In this study, we review 19 computat...
متن کاملWalking on multiple disease-gene networks to prioritize candidate genes.
Uncovering causal genes for human inherited diseases, as the primary step toward understanding the pathogenesis of these diseases, requires a combined analysis of genetic and genomic data. Although bioinformatics methods have been designed to prioritize candidate genes resulting from genetic linkage analysis or association studies, the coverage of both diseases and genes in existing methods is ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Medical Genomics
سال: 2013
ISSN: 1755-8794
DOI: 10.1186/1755-8794-6-57