urppeia / bio634_ngs2_2017 Goto Github PK

Stefan Wyder & Heidi Tschanz-Lischer

[email protected]
[email protected]

• Basic command line
• Basic knowledge about NGS data structure: reads, alignments (BAM), quality scores

or attendance of 'BIO609 Introduction to Linux and Bash Scripting' and
`BIO610 Next-Generation Sequencing 1 – Introductory Course: Assembly, Mapping, and Variant Calling

(Unix System hierarchical tree)

|--HOME--|
      ├─software
           ├── IGV_2.3.52/
           ├── freebayes/
           ├── picard-tools-1.130/
      ├─NGS2
	   ├─RNA-Seq
	   ├─VariantCalling2
        	├── Final_Results (with pre-computed results)
            ├── ref (reference files like genomes)
            └── scripts

( more folders will be added in this level during the workshop )

We will reuse the Virtual Machine (VM) of the Linux course BIO609 and NGS course BIO610. However, we need to download the data for this course.

• Start the VM and login
• Open a terminal
• Download the file by typing wget url (Note to myself: Use URL shortener)
• Unzip the file: unzip data_NGS2.zip

• Download the virtual machine manager VirtualBox, from virtualbox.org. Make sure you pick the right operation system for your laptop.
• Install VirtualBox on your machine
• Download the VM image (~4 GB) from dropfiles.uzh. Ask for the link.
• Run VirtualBox and do File | Import Appliance from the menu. Choose the VM image you just downloaded (file with extension .OVA). This will trigger a menu where you can change the Appliance settings. We recommend giving the VM as much memory as you can given your local machine (about 2/3 of the total memory, but between 2-4 GB). Start the import process.

Now you can start the VM by selecting it in the list and clicking on the Start button. Login and proceed with the instructions

• Haddock & Dunn. Practical Computing for Biologists. Sinauer Associates 2011.
  A good book that covers the shell/command line, programming in python & bash, databases, regular expressions. Suitable for self-study and as a reference book.

• Vince Buffalo. Bioinformatics Data Skills. O'reilly 2015
  This practical book teaches the skills that scientists need for turning large sequencing datasets into reproducible and robust biological findings. Also covers methods on Sequence and Alignment Data. More advanced than Haddock & Dunn and progresses with faster pace.

General

• http://software-carpentry.org/
  Scientific Computing Resources for learning bash shell, programming in python, R, …]
• SEQanswers the NGS community (Questions&Answers, protocols, software lists, news)
• BioStars for questions about biocomputing and scripting for biologists
• stackoverflow for questions related to coding

Linux/Shell

• Cheatsheet intermediate
• SIB e-learning: UNIX fundamentals