Essential Bioinformatics PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Essential Bioinformatics PDF full book. Access full book title Essential Bioinformatics by Jin Xiong. Download full books in PDF and EPUB format.
Author: Jin Xiong
Publisher: Cambridge University Press
ISBN: 113945062X
Category : Science
Languages : en
Pages : 360
Get Book Here
Book Description
Essential Bioinformatics is a concise yet comprehensive textbook of bioinformatics, which provides a broad introduction to the entire field. Written specifically for a life science audience, the basics of bioinformatics are explained, followed by discussions of the state-of-the-art computational tools available to solve biological research problems. All key areas of bioinformatics are covered including biological databases, sequence alignment, genes and promoter prediction, molecular phylogenetics, structural bioinformatics, genomics and proteomics. The book emphasizes how computational methods work and compares the strengths and weaknesses of different methods. This balanced yet easily accessible text will be invaluable to students who do not have sophisticated computational backgrounds. Technical details of computational algorithms are explained with a minimum use of mathematical formulae; graphical illustrations are used in their place to aid understanding. The effective synthesis of existing literature as well as in-depth and up-to-date coverage of all key topics in bioinformatics make this an ideal textbook for all bioinformatics courses taken by life science students and for researchers wishing to develop their knowledge of bioinformatics to facilitate their own research.
Author: Jin Xiong
Publisher: Cambridge University Press
ISBN: 113945062X
Category : Science
Languages : en
Pages : 360
Get Book Here
Book Description
Essential Bioinformatics is a concise yet comprehensive textbook of bioinformatics, which provides a broad introduction to the entire field. Written specifically for a life science audience, the basics of bioinformatics are explained, followed by discussions of the state-of-the-art computational tools available to solve biological research problems. All key areas of bioinformatics are covered including biological databases, sequence alignment, genes and promoter prediction, molecular phylogenetics, structural bioinformatics, genomics and proteomics. The book emphasizes how computational methods work and compares the strengths and weaknesses of different methods. This balanced yet easily accessible text will be invaluable to students who do not have sophisticated computational backgrounds. Technical details of computational algorithms are explained with a minimum use of mathematical formulae; graphical illustrations are used in their place to aid understanding. The effective synthesis of existing literature as well as in-depth and up-to-date coverage of all key topics in bioinformatics make this an ideal textbook for all bioinformatics courses taken by life science students and for researchers wishing to develop their knowledge of bioinformatics to facilitate their own research.
Author: William R. Taylor
Publisher: Springer Science & Business Media
ISBN: 3642766374
Category : Science
Languages : en
Pages : 271
Get Book Here
Book Description
The contents of this volume derive loosely from an EMBO worksh9P held at EMBL (Heidelberg) towards the end of 1989. The topic of Patterns in Protein Sequence and Structure attracted a wide range of participants, from biochemists to computer scientists, and that diversity has, to some extent, remained in the contributions to this volume. The problems of interpreting biological sequence data are to an increasing extent forcing molecular biologists to learn the language of computers, including at times, even the abstruse language of the computer scientists themselves. While, on their side, the computer scientists have discovered a veritable honey-pot of real data on which to test their algorithms. This enforced meeting of two otherwise alien fields has resulted in some difficulties in communication and it was an aim of the EMBO workshop to help resolve these. By the end, most biologists at the meeting had, at least, heard the terms Dynamic Programming and Regular Expression while for their part the computer programmers began to realise that protein sequences might be more than simple Markov chains in a 20-letter alphabet. Thanks to the modern facilities at EMBL, the three day meeting was video-taped and from this a transcript was taken and offered to the speakers as the basis for a contribution to this volume.
Author: G.D. Fasman
Publisher: Springer Science & Business Media
ISBN: 1461315719
Category : Science
Languages : en
Pages : 796
Get Book Here
Book Description
The prediction of the conformation of proteins has developed from an intellectual exercise into a serious practical endeavor that has great promise to yield new stable enzymes, products of pharmacological significance, and catalysts of great potential. With the application of predic tion gaining momentum in various fields, such as enzymology and immunology, it was deemed time that a volume be published to make available a thorough evaluation of present methods, for researchers in this field to expound fully the virtues of various algorithms, to open the field to a wider audience, and to offer the scientific public an opportunity to examine carefully its successes and failures. In this manner the practitioners of the art could better evaluate the tools and the output so that their expectations and applications could be more realistic. The editor has assembled chapters by many of the main contributors to this area and simultaneously placed their programs at three national resources so that they are readily available to those who wish to apply them to their personal interests. These algorithms, written by their originators, when utilized on pes or larger computers, can instantaneously take a primary amino acid sequence and produce a two-or three-dimensional artistic image that gives satisfaction to one's esthetic sensibilities and food for thought concerning the structure and function of proteins. It is in this spirit that this volume was envisaged.
Author: Jason T. L. Wang
Publisher: Springer Science & Business Media
ISBN: 1846280591
Category : Computers
Languages : en
Pages : 337
Get Book Here
Book Description
Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.
Author: Dan Gusfield
Publisher: Cambridge University Press
ISBN: 1139811002
Category : Computers
Languages : en
Pages : 556
Get Book Here
Book Description
String algorithms are a traditional area of study in computer science. In recent years their importance has grown dramatically with the huge increase of electronically stored text and of molecular sequence data (DNA or protein sequences) produced by various genome projects. This book is a general text on computer algorithms for string processing. In addition to pure computer science, the book contains extensive discussions on biological problems that are cast as string problems, and on methods developed to solve them. It emphasises the fundamental ideas and techniques central to today's applications. New approaches to this complex material simplify methods that up to now have been for the specialist alone. With over 400 exercises to reinforce the material and develop additional topics, the book is suitable as a text for graduate or advanced undergraduate students in computer science, computational biology, or bio-informatics. Its discussion of current algorithms and techniques also makes it a reference for professionals.
Author: Orkun S. Soyer
Publisher: Springer Science & Business Media
ISBN: 1461435676
Category : Science
Languages : en
Pages : 459
Get Book Here
Book Description
The book aims to introduce the reader to the emerging field of Evolutionary Systems Biology, which approaches classical systems biology questions within an evolutionary framework. An evolutionary approach might allow understanding the significance of observed diversity, uncover “evolutionary design principles” and extend predictions made in model organisms to others. In addition, evolutionary systems biology can generate new insights into the adaptive landscape by combining molecular systems biology models and evolutionary simulations. This insight can enable the development of more detailed mechanistic evolutionary hypotheses.
Author: Daniel J. Graham
Publisher: CRC Press
ISBN: 0429647883
Category : Science
Languages : en
Pages : 245
Get Book Here
Book Description
This book explores the remarkable information correspondences and probability structures of proteins. Correspondences are pervasive in biochemistry and bioinformatics: proteins share homologies, folding patterns, and mechanisms. Probability structures are just as paramount: folded state graphics reflect Angstrom-scale maps of electron density. The author explores protein sequences (primary structures), both individually and in sets (systems) with the help of probability and information tools. This perspective will enhance the reader’s knowledge of how an important class of molecules is designed and put to task in natural systems, and how we can approach class members in hands-on ways.
Author:
Publisher:
ISBN: 9780815332183
Category : Cells
Languages : en
Pages : 0
Get Book Here
Book Description
Author: Ingvar Eidhammer
Publisher: John Wiley & Sons
ISBN:
Category : Mathematics
Languages : en
Pages : 384
Get Book Here
Book Description
Pairwise global alignment of sequences. Pairwise local alignment and database search. Statical analysis. Multiple global alignment and phylogenetic trees. Scoring matrices. Profiles. Sequence patterns. Structures and structure descriptions. Superposition and Dynamic programming. Geometric techniques. Clustering: Combining local similarities. Significance and assessment of structure comparisons. Multiple structure comparison. Protein structure classification. Structure prediction: Threading. Basics in mathematics, probability and algorithms. Introduction to molecular biology.
Author: Russell F. Doolittle
Publisher: University Science Books
ISBN: 9780935702545
Category : Science
Languages : en
Pages : 118
Get Book Here
Book Description
In these days of facile cloning and rapid DNA sequencing, it is not uncommon for investigators to find themselves with a DNA sequence that may or may not code for a known gene product. The sequence is 'open' when read in an appropriate frame, which is to say that there is a long run of amino acid codons before the appearance of a terminator codon. How can we find out if this 'unidentified reading frame' (URF) really codes for a genuine protein, and how can we identify it if it exists? There are two general strategies, both of which can also be applied to the characterization of any 'open reading frame' (ORF), whether or not it has been 'identified'. The first and simplest approach involves computer searching and analysis; the second employs antibodies raised against synthetic peptides patterned on the sequence of the expected gene product. Both methods have been used with great success by many investigators. Each has, nonetheless, its pitfalls and frustrations. This primer is meant to guide the researcher past those obstacles as much as possible. Graduate students and researchers interested in amino acid sequencing; molecular biologists, biochemists, chemists, and biotechnologists.
