Python course in Bioinformatics.pdf

Beginning Perl for Bioinformatics_HTML版.rar Beginning Perl for Bioinformatics_HTML版.rar

Contents 1 ThisDocument 1 2 BioperlBasics 1 2.1 BioperlSemantics .......................................... 1 2.1.1 BioperlNamespace..................................... 1 2.1.2 Interfaces........................................... 1 3 SequenceAnalysis 2 3.1 SequenceObjects..........................

Bioinformatics with R Cookbook. 包括如何用R分析microarray， RNA-seq，GWAS, NGS 数据， 分析蛋白质和核酸序列等等

生物信息学算法导论，英文原版 an-introduction-to-bioinformatics-algorithms，有需要的可以下载

Bioinformatics_Algorithms_－_Design_and_Implementation_in_Python.pdf

生物信息学的圣经，作为教程值得一度 Suitable for advanced undergraduates and postgraduates, Understanding Bioinformatics provides a definitive guide to this vibrant and evolving discipline. The book takes a conceptual approach. It guides the reader from first principles through to an understanding of the computational techniques and the key algorithms. Understanding Bioinformatics is an invaluable companion for students from their first encounter with the subject through to more advanced studies. The book is divided into seven parts, with the opening part introducing the basics of nucleic acids, proteins and databases. Subsequent parts are divided into 'Applications' and 'Theory' Chapters, allowing readers to focus their attention effectively. In each section, the Applications Chapter provides a fast and straightforward route to understanding the main concepts and 'getting started'. Each of these is then followed by Theory Chapters which give greater detail and present the underlying mathematics. In Part 2, Sequence Alignments, the Applications Chapter shows the reader how to get started on producing and analyzing sequence alignments, and using sequences for database searching, while the next two chapters look closely at the more advanced techniques and the mathematical algorithms involved. Part 3 covers evolutionary processes and shows how bioinformatics can be used to help build phylogenetic trees. Part 4 looks at the characteristics of whole genomes. In Parts 5 and 6 the focus turns to secondary and tertiary structure – predicting structural conformation and analysing structure-function relationships. The last part surveys methods of analyzing data from a set of genes or proteins of an organism and is rounded off with an overview of systems biology. The writing style of Understanding Bioinformatics is notable for its clarity, while the extensive, full-color artwork has been designed to present the key concepts with simplicity and consistency. Each chapter uses mind-maps and fl

Bioinformatics生物信息学：序列和基因组分析.pdf 英文版

Bioinformatics Algorithms: An Active Learning Approach 2nd Edition, Vol. I by Phillip Compeau & Pavel Pevzner

生物信息学:序列和基因组分析(Bioinformatics:Sequence and Genome 英文版