Bioinformatics tips tricks workflows: Difference between revisions
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* [[assemble_mitochondrial_genomes_from_short_read_data | Assemble mitochondrial genomes from whole-genome short-read data]] | * [[assemble_mitochondrial_genomes_from_short_read_data | Assemble mitochondrial genomes from whole-genome short-read data]] | ||
* [[1000Bulls_mapping_pipeline_at_ABGC | 1000 Bulls mapping pipeline at ABGC]] | * [[1000Bulls_mapping_pipeline_at_ABGC | 1000 Bulls mapping pipeline at ABGC]] | ||
* [[ABGSA | Animal Breeding and Genomics Sequence Archives (ABGSA)]] | |||
* [[Short_read_mapping_pipeline_pig | Pig mapping pipeline at ABGC]] | * [[Short_read_mapping_pipeline_pig | Pig mapping pipeline at ABGC]] | ||
* [[Extract_noncall_snps_from_soy | Extract a set of pig SNPs not called in a control sample (soybean)]] | * [[Extract_noncall_snps_from_soy | Extract a set of pig SNPs not called in a control sample (soybean)]] | ||
Revision as of 13:33, 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
- 1000 Bulls mapping pipeline at ABGC
- Animal Breeding and Genomics Sequence Archives (ABGSA)
- Pig mapping pipeline at ABGC
- Extract a set of pig SNPs not called in a control sample (soybean)