Bioinformatics tips tricks workflows: Difference between revisions
Jump to navigation
Jump to search
| Line 11: | Line 11: | ||
* [[Installing_R_packages_locally | Installing R packages locally]] | * [[Installing_R_packages_locally | Installing R packages locally]] | ||
* [[command_line_tricks_for_manipulating_fastq | Command-line tricks for manipulating fastq files]] | * [[command_line_tricks_for_manipulating_fastq | Command-line tricks for manipulating fastq files]] | ||
* [[assemble_mitochondrial_genomes_from_short_read_data | Assemble mitochondrial genomes from whole-genome short-read data]] | |||
== See also == | == See also == | ||
Revision as of 14:02, 26 March 2014
This page is intended as a portal to pages concerning best practices, workflows and pipelines, and other protocols (including scripts).
A list of tutorials, workflows, and recipes
- Mapping Illumina GA2/HiSeq reads to the Sus scrofa genome assembly
- A Perl script to convert fastq to fasta file format
- Mapping Pair-end reads with Stampy
- Create slices from a collection of BAM files
- Setting up and using a virtual environment for Python3
- ssh without password
- Create a shortcut for the ssh log-in command
- Installing R packages locally
- Command-line tricks for manipulating fastq files
- Assemble mitochondrial genomes from whole-genome short-read data