바이오파이썬

생명 및 뇌과학 정보의 생산성 있는 분석 및 시각화를 위한 IT 실습

part I Practical Computing for Biologists

Data analysis with Python

Python Basics I

Python Basics II

Python Modules & NumPy and Matplotlib

Biopython I, II

Data management and relational databases

Data analysis with Python

part II Managing Your Biological Data with Python

Ipython notebook server setting on Biolinux 8 virtual machine

ch1. The Python Shell

ch2. Your First Python Program

ch3. Analyzing a Data Column

ch4. Parsing Data Records

ch5. Searching Data

ch6. Filtering Data

ch7. Managing Tabular Data

ch8. Sorting Data

ch9. Pattern Matching and Text Mining

ch10. Divide a Program into Functions

ch11. Managing Complexity with Classes

ch12. Debugging

ch15. Writing Good Programs

ch16. Creating Scientific Diagrams

ch17. Creating Molecule Images with PyMOL

ch18. Manipulating Images

ch19. Working with Sequence Data

ch20. Retrieving Data from Web Resources

ch21. Working with 3D Structure Data

part III Python for Bioinformatics

1. Introduction

2. NumPy and SciPy

3. Image Manipulation

4. Akando and Dancer Modules

5. Statistics

6. Parsing DNA Data Files

7. Sequence Alignment

8. Dynamic Programming

9. Tandem Repeats

10. Hidden Markov Models

11. Genetic Algorithms

12. Multiple Sequence Alignment

13. Gapped Alignments

14. Trees

15. Text Mining

16. Complexity

17. Clustering

18. Self-Organizing Maps

19. Principals

20. Species Identification

21. Fourier Transforms and Correlations

22. Correlations

23. Numerical Sequence Alignment

24. Gene Expression Array Files

25. Spot Finding and Measurement

26. Spreadsheet Arrays and Displaying the Data

27. Applications with Expression Arrays

Building Machine Learning Systems with Python(한국어판)

1장. 기계 학습 파이썬으로 시작하기

2장. 실제 예제를 이용한 분류법 학습

3장. 군집화: 관련된 게시물 찾기

4장. 주제 모델링

5장. 분류 I: 형편없는 답변 감지

6장. 분류 II: 감성 분석

7장. 회귀: 추천

8장. 회귀: 향상된 추천

9장. 분류III: 음악 장르 분류

10장. 컴퓨터 비전: 패턴 인식

11장. 차원 수 줄이기

12장. (조금 더 큰) 빅데이터

13장. 기계 학습을 더 배울 수 있는 자료

링크

http://biopy.github.io

[github] https://github.com/biopy/biopy.github.io

[facebook] http://goo.gl/GJUxC6

[ipython notebooks] http://goo.gl/IGfjoO