The Exelixis Lab


Enabling Research in Evolutionary Biology

Bioinformatics

Bioinformatics courses are taught by Alexis in Karlsruhe with the occasional help of his PostDocs and PhD students from the Heidelberg Institute for Theoretical Studies. See here for contact details.

Course Evaluation Results (Learning Quality Indices)

  • Winter 2012/13: 100 out of 100. PDF
  • Summer 2014: 97.9 out of 100. PDF
  • Winter 2014/15: 100 out of 100. PDF
  • Winter 2015/2016: 100 out of 100. PDF
  • Winter 2016/2017: 100 out of 100. PDF
  • Winter 2017/2018: 100 out of 100. PDF

Practical Evaluation results (Learning Quality Indices)

  • Summer 2015: 100 out of 100. PDF
  • Summer 2017: 100 out of 100. PDF

Seminar Evaluation results (Learning Quality Indices)

  • Summer 2018: 100 out of 100. PDF

Teaching Awards

  • Alexis and Michael Hamann (PhD student from the chair of Prof. Wagner at KIT) received a certificate for teaching excellence from the dean of the CS faculty at the Karlsruhe Institute of Technology for their programming practical "Hands-on Bioinformatics Practical" tought in summer 2017 based on the practical evaluation by the students. This practical also resulted in a peer-reviewed publication in the high quality journal Bioinformatics.
  • The three former students of the programming practical (Michael Hoff, Stefan Orf and Benedikt Riehm) will receive a prize from KIT on October 14, 2016, for research work conducted by students, since they published a peer-reviewed paper presenting the results of the practical.
  • Alexis and Tomas received a certificate for teaching excellence from the dean of the CS faculty at the Karlsruhe Institute of Technology for their programming practical "Hands-on Bioinformatics Practical" tought in summer 2015 based on the practical evaluation by the students.
  • Alexey, Alexis, Andre, Kassian, Mark Holder, and Tomas received a certificate for teaching excellence from the dean of the CS faculty at the Karlsruhe Institute of Technology for the course "Introduction to Bioinformatics for Computer Scientists" tought in winter 2014/15 based on the course evaluation by the students.

General Information

Course Slides

Please send Alexis an email to be added to the course mailing list and thereby obtain access to the course slides.

Lecture

Knowledge Quiz Answers:

Reading List and on-line material

Exam

A 20 minute oral exam at the end of the semester, dates will be scheduled via doodle.

Course Mailing List

Write an email to Alexis such that he can add you to the course mailing list, very important!

Course beers

We will try to go for course beers with the entire course at least once. All drinks will be on Alexis.

Seminar: Bioinformatics

You will need to select papers to present, give a presentation and write a report.

This main seminar allows students to understand and present the contents of current papers in Bioinformatics such as published for instance in the journals Bioinformatics, BMC Bioinformatics, Journal of Computational Biology etc. or at conferences such as ISMB or RECOMB.

We will provide a list of interesting papers but students can also propose papers they are interested in. Students may also chose to cover broader topics of more general interest such as multiple sequence alignment, Bayesian phylogenetic inference, read assembly etc.

Each student will be assigned an Exelixis lab member for help with understanding the article and preparing the slides as well as the report.

Students should give a 35 minute presentation on their topic of choice and write a report (Seminararbeit) comprising 15 pages.

Below you will find some general material for the Bioinformatics seminar:

Latex template for reports

We are going to use the Springer LNCS (Lecture Notes in Computer Science) Latex template available here.

Please make sure to download file: llncs2e.zip!

Here are some examples from well-written reports of previous years:

Here are some examples of nice slides from previous years:

Practical

In the practical we will try to implement something "useful" as open source tool in C or C++.

Some notes about C programming

Here are some old slides by Alexis covering some aspects of C programming:

Code quality assessment

Make sure to use all tools/mechanisms at your disposal to produce high quality code, for instance:

  • Use as many assertions as you can, as provided by
  • Use the valgrind tool to detect and remove memory leaks, segmentation faults, etc.
  • Enable all compiler warning flags you can think of and fix all warnings! In my lab we typically activate the following flags:
    -Wall  -Wunused-parameter -Wredundant-decls  -Wreturn-type  -Wswitch-default -Wunused-value -Wimplicit  -Wimplicit-function-declaration  -Wimplicit-int -Wimport  -Wunused  -Wunused-function  -Wunused-label -Wno-int-to-pointer-cast -Wbad-function-cast  -Wmissing-declarations -Wmissing-prototypes  -Wnested-externs  -Wold-style-definition -Wstrict-prototypes -Wpointer-sign -Wextra -Wredundant-decls -Wunused -Wunused-function -Wunused-parameter -Wunused-value  -Wunused-variable -Wformat  -Wformat-nonliteral -Wparentheses -Wsequence-point -Wuninitialized -Wundef -Wbad-function-cast
    
  • use the clang compiler instead of gcc it generated and detects many more warnings.
  • Keep in mind that the argument for malloc is size_t and not an integer!
  • Play with the compiler optimization flags to see which ones generate the fastest code!
  • Use a version control management system like git for code development, in my lab we typically use github

Grading

The practical will be graded.

winter 2018/19 course

Lectures will take place in room 301 of the main computer science building 50.34 on Thursdays from 11:30 - 13:00.

Lecture plan, subject to change

  • Lecture 1 (Alexis): Introduction
  • Lecture 2 (Alexis): Basic Molecular Biology
  • Lecture 3 (Benoit): Pair-wise Sequence Alignment
  • Lecture 4 (Alexey): BLAST & Genome Assembly
  • Lecture 5 (Alexis): Multiple Sequence Alignment
  • Lecture 6 (Alexis): Introduction to Phylogenetics
  • Lecture 7 (Alexis): Phylogenetic Search Algorithms
  • Lecture 8 (Alexis): Statistical Models of Evolution
  • Lecture 9 (Pierre): Discrete Operations on Trees
  • Lecture 10 (Alexis): Bayesian Phylogenetic Inference
  • Lecture 11 (Alexis): Advanced Bayesian Inference
  • Lecture 12 (Alexis): Introduction to Population Genetics
  • Lecture 13 (Alexis): Advanced Population Genetics
  • Lecture 14 (Alexis): Course wrap-up and exam preparation

summer 2019 courses

Main Seminar: Hot Topics in Bioinformatics

Intro slides

  • general intro slides
  • writing papers and giving talks slides

Programming Practical

The practical will not take place in summer 2019