Autumn2022
Course 22140 (previously 36040) - plan for autumn 2022
Teachers:
- Kristoffer Vitting-Seerup (course organizer) - contact: krivi@dtu.dk
- Rasmus Wernersson (external lecturer) - contact: rawe@dtu.dk
- Giorgia Moranzoni (teaching assistant) - contact: gimo@dtu.dk
- Lars Rønn Olsen (course organizer) is on parental leave and will therefore not respond. Contact Kristoffer instead.
DTU Learn
Bioinformatics
Besides knowledge about basic molecular biology and biochemistry, a prerequisite for this course is bioinformatics (usually from course 22211 or one of its variants). If you need to read up on some bioinformatics topics, please use the links below.
- Course 22111 - Introduction to Bioinformatics
- UniProt exercise (answers) - This is an important one, as we use UniProt a lot in this course.
Cytoscape
For many of the computer exercise we will be using Cytoscape for inspecting and analyzing the biological networks. Cytoscape is Open Source and freely available for Windows, Mac and Linux. Make sure to have Cytoscape installed on your laptop prior to the course: http://www.cytoscape.org/
Weekly assignments
As part of the computer exercises you (or your group) should keep a "log book" and answer the questions/report observations as you work though the exercise. The parts you need to document will be marked with the small "report icon" also seen here.
Following the exercise the reports will be handed in using the Learn system. We collect the reports and give a general feedback to the entire class the following week.
Important: The reports are not as such mandatory, but it is HIGHLY recommended to turn them in, as this is excellent training for the exam.
Allowed formats:
- Plain text + figures as extra files
- Microsoft Word (*.doc, *.docx)
- PDF: use ANY word-processing software you like (e.g. "Pages") and save/print the result to a PDF.
Lecture plan, autumn 2022
When and Where
- When: Each Thursday from 13:00-17:00
- Where: Building 303A auditorium/group-room 045
Block #1: Introduction
Responsible for this block: Rasmus Wernersson, Kristoffer Vitting-Seerup
Lecture 01 (Sep 1st) - Intro 1
- Lecture: Introduction to Systems Biology and biological networks - Rasmus Wernersson.
- Slides: To appear on DTU Learn
- Readings: Can a Biologist fix a radio? - Lazebnik Y., Cancer Cell 2002 (PDF) NOTE: Review paper - easy to read
- Exercise: Introduction to Cytoscape and working with networks - Answers: Exercise #1 answers
Lecture 02 (Sep 8th) - Intro 2
- Lecture: Protein-protein interaction networks. Experimental methods and interpretation. - Rasmus Wernersson
- Slides: To appear on DTU Learn
- Hand-outs: SnapShot: Protein-Protein Interaction Networks - Seebacher & Gavin, Nature 2011 (PDF) - focus on the EXPERIMENTAL METHODS part for this week.
- Readings:
- Exercise:
- Building protein-protein interaction networks from experimental data (File:W02 exercises v7 corrected.pdf))
- Note taking sheet for help with ex. 5,7,8,9 (PDF) - PRINT OUT and take notes.
- Computer-exercise: Visualization of the networks from the hand-out exercise - Answers: Ex. 10+11 answers
Lecture 03 (Sep 15th) - Intro 3
- Lecture: Network topology - Kristoffer Vitting-Seerup
- Slides: On DTU Learn.
- Hand-outs: SnapShot: Protein-Protein Interaction Networks - (SAME AS LAST WEEK) (PDF) - read the rest for this week.
- Readings: Global network properties. Barabasi& Oltvai, Nat Rev Genet 2004 (PDF) - concentrate on Box 1 and Box 2.
- Exercises:
- Handout exercise: Network topology exercise (PDF)
- Computer exercise: Cytoscape, topology/statistics/modules Network topology and statistics Answers: See slides on DTU Learn (week 3). Answers to Cytoscape exercise
Block #2: Case: Yeast systems biology
Responsible for this block: Rasmus Wernersson, Kristoffer Vitting-Seerup
Lecture 04 (Sep 22nd) - Yeast Systems Biology 1
- Lecture: Yeast Cell Cycle introduction - Rasmus Wernersson.
- Slides: Will be uploaded to DTU Learn
- Readings:
- Background on budding yeast cell cycle and cell cycle regulation (PDF).
- Source: http://mpf.biol.vt.edu/research/budding_yeast_model/pp/index.php (much more information about modelling the yeast cell cycle can be found here) [NOT part of the curriculum].
- Important: You don't need to understand all the finer points about the regulation, but make sure you known the phases of the cell cycle.
- Saccharomyces Genome Database: http://www.yeastgenome.org/
- Exercise: Yeast cell cycle 1 - introduction to data and methods Answers: Yeast 1 answers
Lecture 05 (Sept 29th) - Yeast Systems Biology 2
- Lecture: Gene Ontology and large scale data analysis - Rasmus Wernersson
- Readings: Two introductory papers to The Gene Ontology (GO). Choose the one you prefer.
- Intro for bioinformaticians: The what, where, how and why of gene ontology - a primer for bioinformaticians - File:Bbr002.pdf (NEW LINK) (focus on the first three pages).
- Focuses mostly on the structure of the GO, the evidence behind the annotations and relations of the genes/proteins to the categories.
- Intro for biologists: Gene Ontology: tool for the unification of biology - File:GO NATURE GENETICS 2000.pdf (NEW LINK)
- Describes more the general idea behind GO and why it is useful.
- Intro for bioinformaticians: The what, where, how and why of gene ontology - a primer for bioinformaticians - File:Bbr002.pdf (NEW LINK) (focus on the first three pages).
- Slides: On DTU Learn
- Exercise: Gene Ontology - yeast cell cycle examples - Answers: wiki answers
Lecture 06 (Oct 6th) - Yeast Systems Biology 3
- Lecture: Introduction to transcriptomics - Kristoffer Vitting-Seerup
- Readings: A brief introduction to DNA micro-arrays (DTU Learn) - Rasmus Wernersson
- Background: (Optional) - If you need a reminder about how the Log2 function works, then have a look at Appendix A in Thomas Schneider's Information Theory Primer (PDF)
- Slides: To appear on DTU Learn
- Exercise: Yeast cell cycle: single point arrest DNA microarray studies - Answers: ([1])
Lecture 07 (Oct 13th) - Yeast Systems Biology 4
- Lecture: How proteins collaborate during the phases of cell devision - Rasmus Wernersson.
- Readings: Cyclebase paper - (skim it - make sure to understand Fig 1).
- Slides: To appear on DTU Learn
- Exercise: Mapping temporal expression data onto networks Answers: ([2])
Autumn vacation (Week 42)
Block #3: Case: Human disease biology
Responsible for this block: Rasmus Wernersson, Kristoffer Vitting-Seerup
Lecture 08 (Oct 27th) - Systems Biology in Biomedical Research (Heart diseases) 1
- Lecture: Systems Biology of Heart Disease - Rasmus Wernersson
- Readings:
- Human diseases through the lens of network biology (PDF)
- Concentrate on: Figure 1 and Box 3
- Heart development video: https://www.youtube.com/watch?v=5DIUk9IXUaI
- Extra: (not curriculum)
- The heart disease paper: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2913399/
- Slides: To appear on DTU Learn
- Exercise: Working with "Virtual Pulldowns" Answers: "Virtual Pulldown" answers
Lecture 09 (Nov 3rd) - Systems Biology in Biomedical Research (Heart diseases) 2
- Lecture: Clustering, multiple testing correction & text mining - Kristoffer Vitting-Seerup and Rasmus Wernersson.
- Readings:
- Read the cartoon to the right - it nicely illustrates the multiple testing problem (source: XKCD.org)
- How does multiple testing correction work?, Noble 2009 (Article link)
- Make sure you understand how Bonferroni adjustment works.
- Extra:
- The MCODE paper: http://www.biomedcentral.com/1471-2105/4/2
- Slides: To appear on DTU Learn
- Exercise:
- Multiple testing (text mining example) - Answers: Multiple testing answers
- Clustering - Answers: ([3])
Lecture 10 (Nov 10th) - Integrating multiple omics data types for cancer research
- Lecture: Functional cancer phenotyping: follicular thyroid cancer case - Kristoffer Vitting-Seerup
- Readings:
- The Hallmarks of Cancer, Hanahan & Weinberg 2011 (Article link)
- Slides: To appear on DTU Learn
- Exercise: ([4]) - Answers ([5])
Lecture 11 (Nov 17th) - Systems Biology in Biomedical Research (inBio Discover framework, drug targets) 3
- Lecture: Biomarker and drug target identification - Rasmus Wernersson.
- Readings:
- Systems biology investigation of COVID-19: https://www.intomics.com/covid19/
- It's a web-page with a written explanation of the COVID-19 analysis + links to interactive networks.
- Please read all of it - including methods. It is written for a non-technical audience and should be easy to understand.
- Slides: To appear on DTU Learn
- Exercise:
- Exploring drug target and disease networks - Answers: ANSWERS
- OPTIONAL: Exploring human networks (If time allows) - Answers: Exploring human networks ANSWERS
- Link to inBio Discover: https://inbio-discover.com/
- Please register your email with inBio Discover before the exercise.
Lecture 12 (Nov 24th) - Isoform Switches in Cancer - Part 1
- Lecture: Kristoffer Vitting-Seerup
- Readings: Isoform Switches in Cancer
- Slides: On DTU Learn. Note slides with solutions will be available after lecture
- Exercise: Isoform exercise
Lecture 13 (Dec 1st) - Isoform Switches in Cancer - Part 2, QnA, Course summary
- Content:
- Isoform switches in cancer - part 2
- Exam info and QnA
- Course summary
- Lecture: Kristoffer Vitting-Seerup
- Readings: Isoform Switches in Cancer
- Slides: On DTU Learn. Note slides with solutions will be available after lecture
- Exercise: Isoform exercise
Old exam sets
- On DTU Inside (file sharing)
Exam
- Date: 7/12 2022
- Time: 09:00-13:00
- Where: (will be) available via https://eksamensplan.dtu.dk/