HTS data analysis course
Registration deadline: Aug 28, or alternatively Aug 14 for PhD and master students (see below).
Time and place: Sept 22 and Oct 6 - Oct 24, 09:00 AM to 05:00 PM, four days each week (with most likely Fridays off).
The High Throughput Sequencing technologies and bioinformatics analysis course consists of three weeks of lectures and practicals plus reading materials. Two weeks before the main course, on Sep 22, a UNIX pre-course will be given. UNIX knowledge is essential for participation in the main course.
The course is free of charge, and registration is required (30 participants in total, for which 15 are reserved for students taking the course for credit). No accommodation or meals provided.
Prerequisites:
All participants should have a basic understanding of molecular biology, at least roughly corresponding to 5-10 university study points in molecular biology, biochemistry, or similar. If you are uncertain if your biology background is strong enough, please contact the course coordinators before signing up for the course.
No prior background in bioinformatics or computer science is required, however, we expect students to have a basic understanding of the UNIX shell. Participants without this knowledge have to take the introductory UNIX course on Monday September 22nd - details will be provided upon acceptance of registration.
The following topics will be covered:
- Introduction to various next-generation sequencing platforms and data formats;
- Quality and quantity control of sequencing data;
- de novo genome assembly of DNA-seq reads;
- Analysis of data from small RNA and mRNA sequencing projects;
- Variant calling and annotation of SNPs;
- Basic and applied use of LifePortal/Galaxy and the Genomic Hyperbrowser tools.
Instruction and hands-on exercises are planned from 9:00 to 17:00 every day. Participants are expected to attend the complete course. A detailed schedule will be provided later, in a follow-up e-mail addressed to all confirmed participants.
Teaching will take place in a computer lab with preinstalled computers. It is not necessary to bring a computer.
Applying:
To keep the course as interactive as possible, we are limiting the number of participants. We therefore ask that each institution/group only apply for one person.
Please apply for the course by registering before 28th of August at this link. Feedback on participation will be given on or soon after September 5th. (Soon to be) active users of the organising platforms will be given priority.
More information about the course:
Click here to find the wiki page for the course.
To master/PhD students:
Please note that this course is also available as a university course at both master (INF-BIO5121) and PhD level (INF-BIO9121), in either case for 10 study points. Contact your study administration if you have more questions about how to register for the university course.
Please register to one of the following courses:
PhD course (10 study points) INF-BIO 9121. NOTE the website is not up yet, and registration may not work. Please contact studieinfo@ifi.uio.no for more information.
Master level course (10 study points) INF-BIO5121. NOTE the website is not up yet, and registration may not work. Please contact studieinfo@ifi.uio.no for more information.
NOTE that the deadline for registering to the course as a credit student at UiO is August 14th.
News
The Genomics Core Facility has successfully gone through a certification process to become a certified NGS ProLab for TWIST Bioscience technologies.
The Genomics Core Facility at Oslo University Hospital and University of Oslo is now a Core Lab for nCounter and GeoMx technologies.
Contact Information:
Genomics@rr-research.no
Daily Leader Core Facility
Susanne Lorenz, PhD
Susanne.Lorenz@rr-research.no
Head of Core Facility
Leonardo A. Meza-Zepeda, Dr. philos.
L.A.Meza-Zepeda@ous-research.no
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Visiting address:
Genomics Core Facility (Room 3-F8-04)
Department of Core facilities
Institute for Cancer Research
New OCCI-building
Norwegian Radium Hospital
Ullernchaussen 66, Lamell 3, 2B
NO-0379 Oslo, NORWAY
+47 - 9183 2772 Laboratory
+47 - 9183 3425 Office
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