By Teresa K. Attwood, Stephen R. Pettifer, David Thorne
This leading edge booklet presents a totally clean exploration of bioinformatics, investigating its advanced interrelationship with biology and laptop technology. It techniques bioinformatics from a special point of view, highlighting interdisciplinary gaps that regularly capture the unwary.
The e-book considers how the necessity for organic databases drove the evolution of bioinformatics; it experiences bioinformatics fundamentals (including database codecs, data-types and present research methods), and examines key subject matters in machine technological know-how (including data-structures, identifiers and algorithms), reflecting on their use and abuse in bioinformatics.
Bringing those disciplines jointly, this e-book is a vital learn should you desire to higher comprehend the demanding situations for bioinformatics on the interface of biology and desktop technological know-how, and the way to bridge the gaps. it is going to be a useful source for complicated undergraduate and postgraduate scholars, and for teachers, researchers and execs with an curiosity during this interesting, fast-moving self-discipline and the knotty difficulties that encompass it.
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Additional resources for Bioinformatics challenges at the interface of biology and computer science: mind the gap
Html Chapter 2 The biological context 21 In RNA, Uracil (U) replaces thymine: the structures of uracil and thymine are similar, but U lacks the methyl (CH3) group linked to the ring of the T molecule. A and G, whose chemical structures contain a double ring, are termed purines; C, T and U, whose chemical structures contain only a single ring, are termed pyrimidines. The basic building-blocks of nucleic acid chains (the units in which their lengths are measured) are nucleotides: these comprise one base, one sugar molecule, and one phosphate moiety.
New York. K. and Miller, C. (2001) Which craft is best in bioinformatics? Computers in Chemistry, 25(4), 329–339. J. and Ostell, J. (1990) The National Center for Biotechnol ogy Information. Genomics, 6, 389–391. , Sanger, F. and Kitai, R. (1955), The structure of pig and sheep insulins. Biochemical Journal, 60(4), 556–565. Cantor, C. (2000) Biotechnology in the 21st century. Trends in Biotechnology, 18, 6–7. A. R. (eds) (1965) Atlas of Protein Sequence and Structure. National Biomedical Research Foundation, Silver Spring, MD, USA.
Biochem. , 49, 463–481; b) The amino‐acid sequence in the phenylalanyl chain of insulin. 2. The investigation of pep tides from enzymic hydrolysates. Biochemical Journal, 49, 481–490. Sanger, F. P. (1953) a) The amino‐acid sequence in the glycyl chain of insulin. 1. The identification of lower peptides from partial hydrolysates. Biochem. , 53, 353–366; b) The amino‐acid sequence in the glycyl chain of insulin. 2. The investigation of peptides from enzymic hydrolysates. Biochemical Journal, 53, 366–374.