User:Konrad U Foerstner/Tools and procedures: Difference between revisions

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== NGS ==
== NGS ==


* [https://github.com/lomereiter/sambamba] - offers similar functions as samtools but offers parallel processing
* [https://github.com/lomereiter/sambamba sambamba] - offers similar functions as samtools but offers parallel processing


=== SNP calling ===
=== SNP calling ===
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* Important. Base alignment quality (BAQ) is switched on per default and very (too) strict [http://massgenomics.org/2012/03/5-things-to-know-about-samtools-mpileup.html 5 Things to Know About SAMtools Mpileup]
* Important. Base alignment quality (BAQ) is switched on per default and very (too) strict [http://massgenomics.org/2012/03/5-things-to-know-about-samtools-mpileup.html 5 Things to Know About SAMtools Mpileup]


== Phylogenetic trees ==
== Phylogenetic trees ==
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* [http://pandas.pydata.org/ panda]
* [http://pandas.pydata.org/ panda]
* [http://www.crummy.com/software/BeautifulSoup/ beautiful soup]
* [http://www.crummy.com/software/BeautifulSoup/ beautiful soup]
* [http://pypi.python.org/pypi/bioservices BioServices]
* [http://matplotlib.org/ matplotlib]
* [http://matplotlib.org/ matplotlib]
* [http://ipython.org/ ipython]
* [http://ipython.org/ ipython]
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* [https://github.com/daler/gffutils gffutils]
* [https://github.com/daler/gffutils gffutils]
* [https://github.com/alimanfoo/pysamstats pysamstats]
* [https://github.com/alimanfoo/pysamstats pysamstats]
* [https://vincent.readthedocs.org/ Vincent] - A Python to Vega Translator
* [https://github.com/mwaskom/seaborn Seaborn] - statistical data visualization


=== Misc ===
=== Misc ===

Latest revision as of 12:07, 20 November 2013

NGS

  • sambamba - offers similar functions as samtools but offers parallel processing

SNP calling

With Samtools

Phylogenetic trees

Multiple alignments

TSS prediction

Whole genome alignments

Pathway visualization

Transcription Terminator prediction

miRNA target prediction

miRmap (untested)

Differential gene expression analysis

DESeq

  • Tips:
    • small count noise - sequence deeper
    • large count noise - sequence more replicates
    • if the assumption that most genes are not differentially expressed is not the case use different methods to normalize (e.g. spike-ins)

Others

  • BaySEq
  • edgR
  • Gfold
  • NoiSeq

Python

General useful libraries

Misc


Visualisation