Online Linux course for biologists
Written by Virginia Gonzalez
Friday, 18 November 2011 15:54
CS101F Linux for Biologists, Level 1
Nov. 29 & Dec. 1, 2011
Online at Bioinformatics.Org
This course teaches biologists how to use the powerful Linux operating system to work with biological data.
No programming experience is needed, just a need to utilize Linux for biological research.
Shailender Nagpal is a data analysis consultant in the biotechnology and pharmaceutical industries and specializes in the interpretation of data generated from various platforms in drug discovery, such as genomics and proteomics.
Session 1: Fundamentals of the Linux OS - filesystem, access and basic commands; navigation of the filesystem and basic file operations - reading, writing, merging, copying and moving
Session 2: Setting permissions of files and directories; file manipulations using awk and sed, file redirection and piping, command line execution of various bioinformatics programs; exercise to demonstrate getting data and software from the internet and crunching through some real data generated from experiment; shell scripting basics and an example of a bioinformatics workflow implemented with unix shell programming
Homework assignments will involve running commands learned in the live lectures.
The lecture is scheduled for 12:00 noon to 1:00 PM US EDT (17:00 to 18:00 GMT) each day. It will also be recorded for later viewing.
If you haven't already done so, create an on-line account to access the educational section of our website. Register for the course by making a payment using the on-line registration form (use this form only for PayPal payments and credit card payments via secured PayPal):
For additional payment methods, please write to
* For-profit & government: $400 USD
* Non-profit & self-pay: $200 USD
Additional discounts are available as follows:
* Professional Members: 20% discount
* Limited scholarships may also be available for those residing in low-income economies (please inquire).
FOR MORE INFORMATION:
Please visit http://www.bioinformatics.org/wiki/CS101F or write to
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