000 02187nam a22002417a 4500
005 20231115073603.0
008 231010b2005 ii a||||o|||| 001 0 eng d
020 _a9780070583207
040 _aEC-QuPUC
_bspa
_erda
_fLuis SotalĂ­n
041 _aenm
082 0 4 _a570.285
100 _983089
_aBal, Harshawardhan
_eorg
245 _aBioinformatics : principles and applications /
_cby Harshawardhan P. Bal
264 1 _aNew Delhi :
_bTata McGraw-Hill,
_c2005
300 _a1 online resource (xiii, 217 pages) :
_billustrations
336 _atxt
337 _2rdamedia
_ac
338 _2rdacarrier
_acr
520 _aThe International Human Genome Project (IHGP), accomplished in 2003, was undoubtedly a giant step for mankind in the sequencing and assembly of the entire human genome. This event has fundamentally altered the manner in which we analyze biological systems, our approach to the many unsolved problems, and indeed, our attempt to unravel the closely held mysteries of evens the simplest of living organisms. However, deriving biological meaning from the raw stack of three billion bases of human DNA would not have been possible without the development of new algorithms for data mining and analysis. This book is about those fundamental tools and techniques that revolutionized biomedical research, and enable us today to perform biology in silico. The book uses an integrative approach to illustrate the use of these tools, and binds them together to create a coherent strategy to tackle the overwhelming problem of biological information overload. Divided into two parts, the book covers the core set of tools that have become indispensable to scientific discovery in the post-genome era, and also demonstrates how these tools can be integrated programmatically with BioPerl to be used in an enhanced, truly high throughput- biology on steroids- manner. With this coverage, the book will be useful to a diverse array of life science professionals, computational biologists, bioinformaticists, as well as students.
650 7 _aBioinformática
_2
_948962
856 _uhttps://www.accessengineeringlibrary.com/content/book/9780070583207
942 _cEBK
999 _c286571
_d286569