Bioinformatics in the post-genome era.
Recent years saw a dramatic increase in genomic and proteomic data in public archives. Now with the complete genome sequences of human and other species in hand, detailed analyses of the genome sequences will undoubtedly improve our understanding of biological systems and at the same time require sophisticated bioinformatic tools. Here we review what computational challenges are ahead and what are the new exciting developments in this exciting field.
Yu
Ungsik
U
National Genome Information Center, Korea Research Institute of Bioscience Biotechnology, Daejeon 305-333, Korea.
Lee
Sung Hoon
SH
Kim
Young Joo
YJ
Kim
Sangsoo
S
D000818:Animals; D019295:Computational Biology / Q000266:history / Q000379:methods / Q000639:trends; D016208:Databases, Factual; D015870:Gene Expression; D016678:Genome; D015894:Genome, Human; D023281:Genomics; D049674:History, 21st Century; D006801:Humans; D020407:Internet; D011506:Proteins / Q000737:chemistry; D020543:Proteome / Q000737:chemistry / Q000378:metabolism
D011506:Proteins; D020543:Proteome