This page is a collection of relevant links and literature that provide basic knowledge on different relevant topics. Add your favourite textbooks here (don't add cutting-edge-research papers).

This page is a collection of relevant links and literature that provide basic knowledge on different relevant topics. Add your favourite textbooks here (don't add cutting-edge-research papers).

Biology, Cell Biology, Molecular Biology

• Watson et al. Molecular Biology of the Gene, 5th ed.
  • Lots of exemplars available in the university library. The author's name also seems impressive.

• MIT Biology Hypertextbook

• TYMRI loengumaterjalid

• Griffiths et al An Introduction to Genetic Analysis
  • Regulation of Gene Transcription

• T. Maimets - Molekulaarne rakubioloogia
  • The only almost up-to-date book in estonian

• A nice way for a beginner to get the required biological background quickly is to start from some Wikipedia article on the topic and do a depth-first or breadth-first traversal of all the links on related subjects from there. Takes about 4-5 hours and is rather enlightening.

Bioinformatics

• Berrar, Dubitzky. A Practical Approach to Microarray Data Analysis
  • A collection of articles covering different aspects of microarray data analysis. Reads easily, nice introduction to the topic.
  • Brief conspect: here
• Durbin, Eddy, Krogh, Michison. Biological Sequence Analysis
  • The one and only book on sequence analysis - although a couple years old, it covers almost all methods of interest for sequence analysis.

• Evan W. Steeg: Data Mining for systems Biology (white paper, see attached files)

• Hendrik Nigul + EBI sissejuhatus bioinformaatikasse
  • Hendrik
  • EBI

• MIT Computational Biology Course (Manolis Kellis + Piotr Indyk)
  • Lecture and recitation notes

• 2can Bioinformatics Educational Resource
  • EBI maintained introductory materials

Statistics

• ?

Machine Learning, Pattern Analysis

• MTAT.03.186 Neurovõrgud
  • Lecture slides & practice session materials of a 4 AP course. Should be a good starting point (especially the practicals). Provides some further references and links.
• Kernel Methods for Pattern Analysis
  • A nice reference on the topic.
  • Available from Meelis & probably from MT library.

• Pascal Network Virtual Training Playground.
  • A collection of videos from different international workshops and seminars on machine learning, pattern analysis and statistics.

Computer Science

• Structure and Interpretation of Computer Programs: videos and textbook
  • Haven't read the book (KT), but the videos are great.