Titlebook: Bioinformatics; Applications in Life M. H. Fulekar Book 2009 Capital Publishing Company, New Delhi, India 2009 Bioremediation.Expression.Mi

SSRIS

Statistical Mining of Gene and Protein Databanks,Identification and characterization of the genes and extraction of ‘knowledge’ from the genome databanks essentially requires annotation of promoter sequences and exons and interpretation of network relationship between gene activities. Bioinformatics research in the post-genomic era is largely focussed at this difficult task.

bioavailability

可忽略

978-90-481-8016-5Capital Publishing Company, New Delhi, India 2009

Altitude

單調(diào)性

the artificial intelligence, database, and algorithms disciplines of computer science (http://www.cs.wright.edu/cse/research/facilities-room.phtml?room=307). There are two possibilities to increase research in Bioinformatics field, one way is to teach computer science to biologists, biotechnologists

ornithology

logical development and function, lie at the heart of this revolution. The earlier reductionist approach to simplify complex biological systems has given way to an integrated approach dealing with the system as a whole, thanks to advances in various technologies. It is now possible to sequence, with

復(fù)習(xí)

d conceptualizes biology in terms of physico-chemical aspects of molecules and then applies informatic techniques (maths, computer science and statistics) to understand and organize this information on a large-scale. The ultimate goal of the field is to enable the discovery of new biological insight

用樹皮

本土

mysteries of life. It looks as if computational biology and bioinformatics are mainly concerned with problems involving data emerging from within cells of living beings. It might be appropriate to say that computational biology and bioinformatics deal with application of computers in solving problem

跑過

ore becomes voluminous, it requires efficient algorithms to mine out required data as well as provide methods to answer various queries. Though the data analysis techniques are useful in almost all disciplines of study, greater emphasis is given in the area of bioinformatics for mining microarray ge