MBV-INFX410 2016
Contents
Bioinformatics for Molecular Biology - 2016
UNDER CONSTRUCTION!!!!!
All students must be present at the start of the course, at 09:15, on November 14. Missing students will not be allowed to follow the course or to take the exam. If you for some reason are not able to attend, please contact Jon Bråte (See contact details below).
This is the wiki for the courses MBV-INF4410 and MBV-INF9410 offered by the Department of Biosciences and Department of Informatics at the University of Oslo (UiO). Both MBV-INF4410 (M.Sc. level) and MBV-INF9410 (Ph.D. level) are 10 study point courses. The 8 study points variant of the course (MBV-INF9410A) will not be given after 2013.
The course consists of five weeks of lectures, exercises, obligatory assignments, and a take-home exam (one week). Obligatory assignments must be completed and approved before the exam and in the same semester. An additional, limited, oral examination may be arranged in cases where this is necessary for the student evaluation. The course is open also for non-UiO students. It is only necessary to be physically present in Oslo for certain parts of the course.
Here is an overview of the course. The contents of the different lectures and exercises will be available shortly.
Week 46 | Week 47 | Week 48 | Week 49 | Week 50 | |
---|---|---|---|---|---|
Mon | Lectures/
exercises |
Lectures/
exercises |
Obligatory
home assignment |
Lectures/
exercises |
Exam start
(home assignment) |
Tue | Lectures/
exercises |
Lectures/
exercises |
Home assignment | Lectures/
exercises |
Exam start
(home assignment) |
Wed | Lectures/
exercises |
Lectures/
exercises |
Home assignment | Lectures/
exercises |
Exam start
(home assignment) |
Thu | Lectures/
exercises |
Lectures/
exercises |
Home assignment | Lectures/
exercises |
Exam start
(home assignment) |
Fri | Lectures/
exercises |
Lectures/
exercises |
Hand in
home assignment |
Lectures/
exercises |
Exam end
(home assignment) |
Time and place
Most of the teaching will take place in room 1250 on the 1st floor of Biology Buiding (Kristine Bonnevies Hus). The teaching starts at 09:15 and we will end at latest 16:00.
Detailed program
The program is still under development and may be updated. The times listed here are only tentative and may likely change. We will mix in small breaks and try to have a lunch break between 13:00 - 14:00.
Week | Monday | Tuesday | Wednesday | Thursday | Friday |
---|---|---|---|---|---|
46 | Nov 14 | Nov 15 | Nov 16 | Nov 17 | Nov 18 |
09:15 - 11:00:
Course introduction (lecture) 11:15 - 13:00: Biological databases, Unix (lectures/exercises) 14:15 - 16:00: Basic Unix (excercises) |
09:15 - 11:00:
Ensembl genome browser and Jalview (lectures/demo) 11:15 - 13:00: Working with sequences and databases (lectures/exercises) 14:15 - 16:00: Applied sequence bioinformatics |
09:15 - 11:00:
More Unix and UCSC genome browser (lectures/exercises) 11:15 - 13:00: Galaxy / Life Portal (lectures/exercises) 14:15 - 16:00: |
09:15 - 16:00:
Python workshop (lectures / exercises) |
09:15 - 16:00:
Python workshop (lectures / exercises) | |
47 | Nov 21 | Nov 22 | Nov 23 | Nov 24 | Nov 25 |
09:15 - 16:00:
Sequence searching and alignments (lectures and exercises) |
09:15 - 16:00:
Structural bioinformatics (lectures and exercises) |
09:15 - 16:00:
Structural bioinformatics (lectures and exercises) |
Docking and drug discovery
Practical Unix/Python exercise |
Reproducibility /
Statistical epigenomics | |
48 | Nov 28 | Nov 29 | Nov 30 | Dec 1 | Dec 2 |
Obligatory home assignment | Obligatory home assignment | Obligatory home assignment | Obligatory home assignment | Hand in home assignment | |
49 | Dec 5 | Dec 6 | Dec 7 | Dec 8 | Dec 9 |
Introduction to statistical inference and R
Basic R and exploring your data |
Analysis of gene expression using R | NGS | Last course day
What does it mean to do bioinformatics? Gene lists and over-representation analysis Summary |
Hand out exam | |
50 | Dec 12 | Dec 13 | Dec 14 | Dec 15 | Dec 16 |
Home exam | Home exam | Home exam | Home exam | Hand in exam |
Required reading material / Curriculum
The curriculum comprises all lectures, lecture handouts and exercises, in addition to the articles listed below:
- R.F. Service, "Biology's dry future", Science 342, 186 (2013)
- EMBnet, A Quick Guide to UNIX
- NCBI Resource Coordinators, "Database resources of the National Center for Biotechnology Information", Nucleic Acids Res. 43, D6 (2015)
- The UniProt Consortium, "UniProt: a hub for protein information", Nucleic Acids Res. 43, D204 (2015)
- P. Flicek et al., "Ensembl 2015", Nucleic Acids Res. 43, D662 (2015)
- P.W. Rose et al., "The RCSB Protein Data Bank: new resources for research and education", Nucleic Acids Res. 41, D475 (2013)
- P.J.A. Cock et al., "Biopython: freely available Python tools for computational molecular biology and bioinformatics", Bioinformatics 25, 1422 (2009)
- A.M. Waterhouse et al., "Jalview Version 2--a multiple sequence alignment editor and analysis workbench", Bioinformatics 25, 1189 (2009)
- G.M. Boratyn et al., "BLAST: a more efficient report with usability improvements", Nucleic Acids Res. 41, W29 (2013)
- J.-F. Taly et al., "Using the T-Coffee package to build multiple sequence alignments of protein, RNA, DNA sequences and 3D structures", Nat. Protoc. 6, 1669 (2011)
- L. Bordoli et al., "Protein structure homology modeling using SWISS-MODEL workspace", Nat. Protoc. 4, 1 (2009)
- J. Carlsson et al., "Ligand discovery from a dopamine D3 receptor homology model and crystal structure", Nat. Chem. Biol. 7, 769 (2011)
- R.M. Kuhn et al., "The UCSC genome browser and associated tools", Brief. Bioinform. 14, 144 (2013)
- J. Goecks et al., "Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences", Genome Biol. 11, R86 (2010)
- G.K. Sandve et al., "Ten Simple Rules for reproducible computational Research", PLoS Comput. Biol. 9, e1003285 (2013)
- G.K. Sandve et al., "The Genomic HyperBrowser: an analysis web server for genome-scale data", Nucleic Acids Res. 41, W133 (2013)
- M.L. Mertzker, "Sequencing technologies - the next generation", Nat. Rev. Genet. 11, 31 (2010)
- A. Altmann et al., "A beginners guide to SNP calling from high-throughput DNA-sequencing data", Hum. Genet. 131, 1541 (2012)
- N. Nagarajan & M. Pop, "Sequence assembly demystified", Nat. Rev. Genet. 14, 157 (2013)
- D.W. Huang et al., "Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources", Nat. Protoc. 4, 44 (2009)
Other good articles (not curriculum)
- Z. Yang & B. Rannala, "Molecular phylogenetics: principles and practice", Nat. Rev. Genet. 13, 303 (2012)
Contacts
Jon Bråte (Course coordinator) - e-mail: jon.brate@ibv.uio.no, phone: +47 922 44 582
Torill Rørtveit (Course administrator, registration) - e-mail: torill.rortveit@ibv.uio.no