This is an application form for the course Computational Genomics: hands-on data analysis course.
compgen2020: focus on single cell RNA-seq
Application and course info
This form is for application to the internal computational genomics course.

Tentative syllabus is as follows:
Day 1: Introduction to data visualization and machine learning
Day 2: Bulk RNA-seq analysis
Day 3: single cell RNA-seq analysis

We will provide teaching compute environment set up with required programs.

Please account for 9:00 to 18:00 days although we will probably finish earlier.
Full name *
e.g: Jim Hester
Your answer
e-mail *
a valid e-mail
Your answer
Institute name *
Which institute, company or university are you working for, ex: University of Bergen, Astra Zeneca, etc
Your answer
Country *
Which country is the institute, company or university located?
Your answer
City *
Which city is the institute, company or university located?
Your answer
Lab name *
Which lab/group are you affiliated with, ex: Lenhard Lab, Fredman Lab, etc
Your answer
Educational history *
Describe where and when you get your degrees starting from Bachelor's or equivalent. Ex: BSc, Cambridge Uni, 2001-2003. MSc, UCL, 2003-2004, etc.
Your answer
Work history *
Describe which relevant positions you held until now. Ex: Research assistant, Cambridge Uni, 2001-2003. Lab tech, Novartis Basel, 2003-2004, etc.
Your answer
Online professional profile
If you have a personal website, linkedIn or github account, or any other professionally related online profile or website please list them here.
Your answer
Application related questions
Are you a *
Do you understand the following statement: *
short-term intense computational genomics courses can not teach you everything you need to know. The courses we are offering are providing a foundation, you have to build upon it yourself. How much you learn from the course is proportional to your effort during and after the course.
Which statement best describes why you applied to this course? *
What is your experience in programming ? *
What is your experience with R? *
What does the following statement return in R: sapply(1:5,sqrt) *
Have you taken any statistics classes or self-studied statistics; if so, what level? *
check all that apply
What is your experience with unix/linux/Mac OS X terminal/shell? *
Which command in unix/linux/Mac OS X terminal helps you view the top part of a file? *
Which command in unix/linux/Mac OS X terminal lists the files in the current directory? *
How familiar are you with sequencing technology ? *
check all that apply
Describe your current research projects and research interests (Max 1000 words) *
Your answer
Are you an EASI Genomics user? *
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