Springer, 2015. - 345 p. - This book offers comprehensive coverage of all the core topics of bioinformatics, and includes practical examples completed using the MatLAB bioinformatics toolbox. It is primarily intended as a textbook for engineering and computer science students attending advanced undergraduate and graduate courses in bioinformatics and computational biology. The book develops bioinformatics concepts from the ground up, starting with an introductory chapter on molecular biology and genetics. This chapter will enable physical science students to fully understand and appreciate the ultimate goals of applying the principles of information technology to challenges in biological data management, sequence analysis, and systems biology. The first part of the book also includes a survey of existing biological databases, tools that have become essential in today’s biotechnology research. The second part of the book covers methodologies for retrieving biological information, including fundamental algorithms for sequence comparison, scoring, and determining evolutionary distance. The main focus of the third part is on modeling biological sequences and patterns as Markov chains. It presents key principles for analyzing and searching for sequences of significant motifs and biomarkers. The last part of the book, dedicated to systems biology, covers phylogenetic analysis and evolutionary tree computations, as well as gene expression analysis with microarrays. In brief, the book offers the ideal hands-on reference guide to the field of bioinformatics and computational biology.
Чтобы скачать этот файл зарегистрируйтесь и/или войдите на сайт используя форму сверху.
O’Reilly Media, 2015. — 818 p. — ISBN: 1449367372, 9781449367374 This practical book teaches the skills that scientists need for turning large sequencing datasets into reproducible and robust biological findings. Many biologists begin their bioinformatics training by learning scripting languages like Python and R alongside the Unix command line. But there's a huge gap between...
Wiley, 2011. - 1085 p. This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related...
Springer, 2014. - 1239 p. - The Springer Handbook of Bio-/Neuro-Informatics is the first published book in one volume that explains together the basics and the state-of-the-art of two major science disciplines in their interaction and mutual relationship, namely: information sciences, bioinformatics and neuroinformatics. Bioinformatics is the area of science which is concerned...
InTech, 2011. — 456 p. Nowadays it is difficult to imagine an area of knowledge that can continue developing without the use of computers and informatics. It is not different with biology, that has seen an unpredictable growth in recent decades, with the rise of a new discipline, bioinformatics, bringing together molecular biology, biotechnology and information technology. More...
Springer, 2015. - 429 p. - This volume provides an overview of RNA bioinformatics methodologies, including basic strategies to predict secondary and tertiary structures, and novel algorithms based on massive RNA sequencing. Interest in RNA bioinformatics has rapidly increased thanks to the recent high-throughput sequencing technologies allowing scientists to investigate complete...
Учебное пособие. Издание 2-е исправленное - М.: ФГОУ ВПО РГАУ - МСХА им. К.А. Тимирязева, 2013. - 120 с. ISBN: 978-5-9675-0214-9 В учебном пособии изложены методические основы биоинформатики - генетико- математические модели, методы, алгоритмы и компьютерный сервис. Рассмотрены основные задачи биоинформатики, ее значение для геномики растений, молекулярная филогенетика,...