If you want to find a learning resource, you should definitely check out our site, Free Learning Resources. And for those who want to learn a computer language, you should check out these books on reSRC.io or on github. This list initially was a clone of stackoverflow – List of Freely Available Programming Books by George Stocker. Now updated, with dead links gone and new content.……【阅读全文】
We have written a basic introductory course for biologists to learn the essential aspects of the Perl programming language. This started as a course for grad students at UC Davis, and we then ran it as a one week intensive course for anyone on campus who was interested (sponsored by the UC Davis Genome Center). The feedback from these courses was very positive and so we have decided that we should make it available to anyone who is interested.……【阅读全文】
本人设计的针对本科生的生物信息学实验课程设计，包括涉及EMBOSS和Galaxy的三个题目：
对于每一个题目，我都记录了详细的操作步骤，对于想学习EMBOSS和Galaxy（主要是后者）的朋友可能会有所帮助。
Continue reading
PS1：两者都提供PDF电子书下载奥！
PS2：对于第二本书的网站，查看其上层链接会有更多惊喜！……【阅读全文】
.:
Appendix
Chapter 10 Comparing Large Sequence Sets
Chapter 11 Assembling Sequences
Chapter 12 analyzing rna sequence and structure
Chapter 13 Using Proteomics Techniques
Chapter 14 Cheminformatics
Chapter 1 Using Biological Databases
Chapter 2 Recognizing Functional Domains
Chapter 3 Finding Similarities and Inferring Homologies
Chapter 4 Finding Genes
Chapter 5 Modeling Structure from Sequence
Chapter 6 Inferring Evolutionary Relationships
Chapter 7 Analyzing Expression Patterns
Chapter 8 Analyzing Molecular Interactions
Chapter 9 Building Biological Databases
Foreword & Preface
电子书网址.txt
./NatureBiotechnology:
Analyzing ’omics data using hierarchical models
How does DNA sequence motif discovery work
How does eukaryotic gene prediction work
How does gene expression clustering work
How does multiple testing correction work
How do RNA folding algorithms work
How do shotgun proteomics algorithms identify proteins
How to map billions of short reads onto genomes
How to visually interpret biological data using networks
Inference in Bayesian networks
Maximizing power in association studies
SNP imputation in association studies
Understanding genome browsing
What are artificial neural networks
What are decision trees
What are DNA sequence motifs
What is a hidden Markov model
What is a support vector machine
What is Bayesian statistics
What is dynamic programming
What is flux balance analysis
What is principal component analysis
What is the expectation maximization algorithm
Where did the BLOSUM62 alignment score matrix come from……【阅读全文】
Get every new post delivered to your Inbox
Join other followers
