Learn IT - Books tags bioinformatics

Bioinformatics with Python Cookbook: Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology, 2nd Edition

Packt Publishing, 2018

Discover modern, next-generation sequencing libraries from Python ecosystem to analyze large amounts of biological data

Key Features

Perform complex bioinformatics analysis using the most important Python libraries and applications

Implement next-generation sequencing,...

Ruby Developer's Guide

Syngress Publishing, 2002

"Ruby Developer's Guide" discusses the role of Ruby in real-world applications, including the use of databases and XML, the coding of graphical user interfaces (GUIs) by means of different toolkits, communicating with other languages over SOAP/XML-RPC or sockets, and the programming of concurrent and distributed applications. Using...

Data Mining for Bioinformatics

CRC Press, 2012

Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics. It supplies a broad, yet in-depth, overview of the application domains of data mining...

Next Generation Sequencing and Data Analysis (Learning Materials in Biosciences)

Springer, 2021

This textbook provides step-by-step protocols and detailed explanations for RNA Sequencing, ChIP-Sequencing and Epigenetic Sequencing applications.

The reader learns how to perform Next Generation Sequencing data analysis, how to interpret and visualize the data, and acquires knowledge on the statistical background of...

Mastering Perl for Bioinformatics

O'Reilly, 2003

Mastering Perl for Bioinformatics covers the core Perl language and many of its module extensions, presenting them in the context of biological data and problems of pressing interest to the biological community. This book, along with Beginning Perl for Bioinformatics, forms a basic...

Bioinformatics Biocomputing and Perl: An Introduction to Bioinformatics Computing Skills and Practice

John Wiley & Sons, 2004

Bioinformatics, Biocomputing and Perl presents an extended tutorial introduction to programming through Perl, the premier programming technology of the bioinformatics community. Even though no previous programming experience is assumed, completing the tutorial equips the reader with the ability to produce powerful custom...

Bioinformatics Programming Using Python: Practical Programming for Biological Data (Animal Guide)

O'Reilly, 2009

Powerful, flexible, and easy to use, Python is an ideal language for building software tools and applications for life science research and development. This unique book shows you how to program with Python, using code examples taken directly from bioinformatics. In a short time, you'll be using sophisticated techniques and...

Supervised and Unsupervised Ensemble Methods and their Applications (Studies in Computational Intelligence)

Springer, 2008

The rapidly growing amount of data, available from different technologies in the field of bio-sciences, high-energy physics, economy, climate analysis, and in several other scientific disciplines, requires a new generation of machine learning and statistical methods to deal with their complexity and heterogeneity. As data collections becomes...

Prediction of Protein Structures, Functions, and Interactions

John Wiley & Sons, 2009

The growing flood of new experimental data generated by genome sequencing has provided an impetus for the development of automated methods for predicting the functions of proteins that have been deduced by sequence analysis and lack experimental characterization.

Prediction of Protein Structures, Functions and Interactions presents...

Cluster Analysis for Data Mining and System Identification

Birkhauser, 2007

Data clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classification of similar objects into different groups, or more precisely, the partitioning of a data set into subsets...

Proteomics for Biomarker Discovery: Methods and Protocols (Methods in Molecular Biology, 1959)

Humana Press, 2019

This volume presents modern and enhanced methods that detail techniques to perform proteomics analyses dedicated to biomarker discovery for human health. Chapters guide readers through pre/post analytical factors, protocols for the preparation of extracellular vesicles and exosomes, and various analytical pipelines including Data...

Data Mining with Computational Intelligence (Advanced Information and Knowledge Processing)

Springer, 2005

Nowadays data accumulate at an alarming speed in various storage devices,
and so does valuable information. However, it is difficult to understand information
hidden in data without the aid of data analysis techniques, which
has provoked extensive interest in developing a field separate from machine
learning. This new field is...

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