User:Konrad U Foerstner/Tools and procedures: Difference between revisions
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* [http://packages.python.org/ete2/index.html ete2] - For phylogenetic trees | * [http://packages.python.org/ete2/index.html ete2] - For phylogenetic trees | ||
* [http://networkx.github.com NetworkX] | * [http://networkx.github.com NetworkX] | ||
* [http://www.h5py.org/ h5py] - HDF5 for Python | |||
* [http://www.pytables.org PyTables] | |||
* [http://statsmodels.sourceforge.net/ Statsmodels] - statistical models for Python | |||
* [http://scikit-learn.org/stable/ scikit-learn] - machine learning in Python | |||
* [http://pysb.org/ PySB] Python framework for Systems Biology modeling | |||
=== Misc === | === Misc === | ||
* [http://messymind.net/2012/07/making-matplotlib-look-like-ggplot/ Making matplotlib look like ggplot] | * [http://messymind.net/2012/07/making-matplotlib-look-like-ggplot/ Making matplotlib look like ggplot] |
Revision as of 10:55, 20 February 2013
SNP calling
With Samtools
- Important. Base alignment quality (BAQ) is switched on per default and very (too) strict 5 Things to Know About SAMtools Mpileup
Phylogenetic trees
Multiple alignments
TSS prediction
- TSSi (untested)
Whole genome alignments
Pathway visualization
- iPath2.0 (by Takuji!) - the modified and original maps can be downloaded as SVG (e.g. full metabolic map)
- KEGG Mapper (untested)
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
- BioPython
- bx-python
- NumPy/SciPy
- panda
- statsmodels
- beautiful soup
- matplotlib
- ipython
- PyCogent
- fuzzywuzzy
- pattern
- pysam
- ete2 - For phylogenetic trees
- NetworkX
- h5py - HDF5 for Python
- PyTables
- Statsmodels - statistical models for Python
- scikit-learn - machine learning in Python
- PySB Python framework for Systems Biology modeling