Molecular Databases For Protein Sequences And Structure Studies

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Molecular Databases for Protein Sequences and Structure Studies

Author: John A.A. Sillince
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
The amount of molecular information is too vast to be acquired without the use of computer-bases systems. The authors introduce students entering research in molecular biology and related fields into the efficient use of the numerous databases available. They show the broad scientific context of these databases and their latest developments. They also put the biological, chemical and computational aspects of structural information on biomolecules into perspective. The book is required reading for researchers and students who plan to use modern computer environment in their research.
Database Annotation in Molecular Biology

Two factors dominate current molecular biology: the amount of raw data is increasing very rapidly and successful applications in biomedical research require carefully curated and annotated databases. The quality of the experimental data -- especially nucleic acid sequences -- is satisfactory; however, annotations depend on features inferred from the data rather than measured directly, for instance the identification of genes in genome sequences. It is essential that these inferences are as accurate as possible and this requires human intervention. With the recognition of the importance of accurate database annotation and the requirement for individuals with particular constellations of skills to carry it out, annotators are emerging as specialists within the profession of bioinformatics. This book compiles information about annotation -- its current status, what is required to improve it, what skills must be brought to bear on database curation and hence what is the proper training for annotators. The book should be essential reading for all people working on biological databases, both biologists and computer scientists. It will also be of interest to all users of such databases, including molecular biologists, geneticists, protein chemists, clinicians and drug developers.