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Application of Bioinformatics in Cancer Epigenetics
Author(s) -
YANG HOWARD H.,
LEE MAXWELL P.
Publication year - 2004
Publication title -
annals of the new york academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.712
H-Index - 248
eISSN - 1749-6632
pISSN - 0077-8923
DOI - 10.1196/annals.1310.008
Subject(s) - epigenome , genome , computational biology , human genome , genomics , epigenetics , biology , gene , reference genome , genetics , transcriptome , cancer genome sequencing , proteome , dna methylation , gene expression
A bstract : With the completion of the human genome sequence and the advent of high‐throughput genomics‐based technologies, it is now possible to study the entire human genome and epigenome. The challenge in the next decade of biomedical research is to functionally annotate the genome, epigenome, transcriptome, and proteome. High‐throughput genome technology has already produced massive amounts of data including genome sequences, single nucleotide polymorphisms, and microarray gene expression. Our ability to manage and analyze data needs to match the speed of data acquisition. We will summarize our studies of allele‐specific gene expression using genomic and computational approaches and identification of sequence motifs that are signature of imprinted genes. We will also discuss about how bioinformatics can facilitate epigenetic researches.