Literature DB >> 15208184

Application of bioinformatics in cancer epigenetics.

Howard H Yang1, Maxwell P Lee.   

Abstract

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.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15208184     DOI: 10.1196/annals.1310.008

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  1 in total

1.  Computational prediction of methylation status in human genomic sequences.

Authors:  Rajdeep Das; Nevenka Dimitrova; Zhenyu Xuan; Robert A Rollins; Fatemah Haghighi; John R Edwards; Jingyue Ju; Timothy H Bestor; Michael Q Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2006-07-03       Impact factor: 11.205

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.