By Teresa K. Attwood, Stephen R. Pettifer, David Thorne

This cutting edge ebook presents a very clean exploration of bioinformatics, investigating its complicated interrelationship with biology and desktop technological know-how. It methods bioinformatics from a special standpoint, highlighting interdisciplinary gaps that regularly catch the unwary.

The ebook considers how the necessity for organic databases drove the evolution of bioinformatics; it studies bioinformatics fundamentals (including database codecs, data-types and present research methods), and examines key issues in laptop 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 in case you desire to larger comprehend the demanding situations for bioinformatics on the interface of biology and laptop technology, and the way to bridge the gaps. will probably be a useful source for complex undergraduate and postgraduate scholars, and for teachers, researchers and pros with an curiosity during this interesting, fast-moving self-discipline and the knotty difficulties that encompass it.

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Extra info for Bioinformatics challenges at the interface of biology and computer science: mind the gap

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Biochemical Journal, 60(4), 541–556. 13 14 Bioinformatics challenges at the interface of biology and computer science Sanger, F. (1945) The free amino groups of insulin. Biochemical Journal, 39, 507–515. Sanger, F. and Tuppy, H. (1951) a) The amino‐acid sequence in the phenylalanyl chain of insulin. 1. The identification of lower peptides from partial hydrolysates. Biochem. , 49, 463–481; b) The amino‐acid sequence in the phenylalanyl chain of insulin. 2. The investigation of pep­ tides from enzymic hydrolysates.

9. This torsional freedom confers a wide variety of 3D structures on the polypeptide backbone. The final structure adopted by a protein is then a direct consequence of the specific sequence of its amino acid side‐chains (R1, R2 . . Rn), as their sizes or chemical nature either permit or prohibit particular backbone rotations. 6 Chemical structure of an amino acid. 7; those that are largely hydrophilic are shown in the middle tier; and those that are ambivalent, or amphipathic, are shown at the bottom.

The ‘post­ genomic era’ holds phenomenal promise for identifying the mechanistic bases of organis­ mal development, metabolic processes, and disease, and we can confidently predict that bioinformatics research will have a dramatic impact on improving our understanding of such diverse areas as the regulation of gene expression, protein structure determination, comparative evolution, and drug discovery (Roos, 2001). As this book unfolds, we’ll touch on some of the predictions that have been made for the bioinformatics revolution, and consider how realistic they are in the context of the challenges that still lie ahead.

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