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Next Generation Sequencing Bioinformatics - Asia Informatics Guide

Software used during the course

Software Version (if not latest) Module Notes
breakdancer 1.4.5 ngsbio
samtools 1.15.1 ngsbio
bcftools 1.15.1 ngsbio
bedtools 2.30.0 ngsbio
openmpi 4.1.4 ngsbio
r-base 4.0.5 ngsbio
bowtie2 2.4.5 ngsbio
macs2 2.2.7.1 ngsbio
meme 5.4.1 ngsbio
ucsc-bedgraphtobigwig 377 ngsbio
ucsc-fetchchromsizes 377 ngsbio
r-sleuth 0.30.0 ngsbio
bioconductor-rhdf5 2.34.0 ngsbio
bioconductor-rhdf5filters 1.2.0 ngsbio
bioconductor-rhdf5lib 1.12.0 ngsbio
hdf5 1.10.5 ngsbio
hisat2 2.2.1 ngsbio
kallisto 0.46.2 ngsbio
bwa 0.7.17 ngsbio
assembly-stats 1.0.1 ngsbio
canu 2.2 ngsbio
kmer-jellyfish 2.3.0 ngsbio
seqtk 1.3 ngsbio
velvet 1.2.10 ngsbio
wtdbg 2.5 ngsbio
genomescope2 2 ngsbio
freebayes 0.9.21.7 ngsbio
gatk4 4.2.6.1 ngsbio
picard-slim 2.27.4 ngsbio
minimap2 2.24 ngsbio
sniffles 2.0.7 ngsbio
pytz ngsbio (Python Dependency)
edlib ngsbio (Python Dependency)
threadpoolctl ngsbio (Python Dependency)
six ngsbio (Python Dependency)
scipy ngsbio (Python Dependency)
networkx ngsbio (Python Dependency)
joblib ngsbio (Python Dependency)
cython ngsbio (Python Dependency)
click ngsbio (Python Dependency)
scikit-learn ngsbio (Python Dependency)
python-dateutil ngsbio (Python Dependency)
pandas ngsbio (Python Dependency)
lightgbm ngsbio (Python Dependency)
sortedcontainers ngsbio (Python Dependency)
dysgu ngsbio (Pip Installation)
r-ngsplot chipseq-project
python 2.7 chipseq-project
jupyter 1.0.0 jupyter
pandoc 2.12 jupyter
bash_kernel jupyter (Pip Installation)
texlive-base jupyter (System Package)
texlive-xetex jupyter (System Package)
texlive-formats-extra jupyter (System Package)
texlive-fonts-extra jupyter (System Package)
texlive-luatex jupyter (System Package)
IGV 2.14.1 Standalone

Informatics Set-Up

In this course run we are using Oracle VM Virtual Box (https://www.virtualbox.org/) to deliver Informatics, you can find Virtual Box Guides below: Virtual Machine Setup Guide.

The Host OS Requirements for Virtual Box

  • RAM requirement: 8GB (preferably 12GB)
  • Processor requirement: 4 processors (preferably 8)
  • Hard disk space: 200GB
  • Admin rights to the computer

Citing and Re-using Course Material

The course data are free to reuse and adapt with appropriate attribution. All course data in these repositories are licensed under the Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). Creative Commons Licence

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