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This space is not maintained anymore. If you want to get the latest updates on fpocket refer to https://github.com/Discngine/fpocket.
Fpocket is a very fast open source protein pocket detection algorithm based on Voronoi tessellation. The platform is suited for the scientific community willing to develop new scoring functions and extract pocket descriptors on a large scale level.
OpenCV powered image stack analyser for data extraction and preparation.
Can be used in conjunction with nanocalcFX.
You can get sample data at the NISA homepage.
Currently in pre-alpha state.
The pyBioImage is a python a python based biological imaging suite tailored to the problem of finding Germinal Center "spots" within multidimensional microscopy images as it is described in the research paper:
"Software tool for 3D extraction of germinal centers",
by David N. Olivieri, Merly Escalona and Jose Faro.
Converts intensity text files to binary for fast subsetting
...Extracting the data for individual SNP/CNV markers or individual samples was slow grep/awk'ing the text files exported from the genotyping run (e.g. Illumina final report files). bint converts the text representation of the intensity float data to into a IEEE754 indexed binary file for rapid extraction of subsets of the data. In theory bint could be used for any large tables of float data.