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GWCNV is a genome-wide algorithm for detecting CNV associations with diseases. It works directly on a transformation of intensity data. It is powerful and sensitive in detecting small CNV associations, and retains high power for large CNVs.
FlexGrePPS forms the foundation of a novel antigenic screening
methodology that is based on the representation of an entire proteome
by near-optimal degenerate peptide pools.
The RDXplorer is a computational tool for copy number variants (CNV) detection in whole human genome sequence data using read depth (RD) coverage. CNV detection is based on the Event-Wise Testing (EWT) algorithm recently published by our group.
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Platform for parallel computation in the Amazon cloud, including machine learning ensembles written in R for computational biology and other areas of scientific research. Home to MR-Tandem, a hadoop-enabled fork of X!Tandem peptide search engine.
We here present a novel computer algorithm, called AutoClickChem, capable of performing many click-chemistry reactions in silico. In silico modeling of click-chemistry products may prove useful in rational drug design and drug optimization.
Febrl (Freely Extensible Biomedical Record Linkage) does data standardisation (segmentation and cleaning) and probabilistic record linkage ("fuzzy" matching) of one or more files or data sources which do not share a unique record key or identifier.
PyBact is an open source software written in Python for Bacterial Identification. The software generates simulated data matrix which accurately represents the probabilistic positive/negative results of the tested biochemical test.
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This is a Python program based on the NegEx algorithm that detects the polarity of the clinical evidence in clinical random trials.
If you use this code please cite this paper:
P. Davis-Desmond and Diego Mollá. Detection of Evidence in Clinical Research Papers (2012). Australasian Workshop On Health Informatics and Knowledge Management (HIKM 2012), Melbourne, Australia.
http://www.ics.mq.edu.au/~diego/publications/hikm12.pdf
This is a c-library that provides tools for advanced
analysis of electrophysiological data. It features
denoising, unsupervised classification, time-frequency
analysis, phase-space analysis, neural networks, time-warping and
more.
NetBuilder' is a tool for building, visualizing, and simulating multi-layered biological networks, structured as hierarchical Petri-nets. It has a built-in stochastic simulator, but also provides easy access to other simulation and analysis.
Software to identify cavities and crevices in proteins. The goal is to be able to take a protein structure, and to differentiate between five different types of environments for each residue: buried, surface, interfacial, cavity, or crevice.
Metaboflux is a generic approach for predicting flux distribution in metabolic networks under multiple and various constraints deducted from the experiments, to increase the biological relevance of the model.
Flow Investigation using N-Dimensions (FIND) is a program designed for analysis and visualization of Flow Cytometry data. FIND focuses specifically on automated population discovery (clustering) methods. The project targets both users and developers.
Synthetic Biology Software Suite (SynBioSS) is composed of a wiki for biochemical kinetic constants, a graphical interface for simulating synthetic biological pathways, and a simulator that runs on either a desktop or supercomputer.
The SplitDB project gives practitioners of statistical tools for inferring phylogenies a way to store, retrieve and visualize important properties, like convergence, of the overwhelmingly large resulting tree-sets produced by these tools.
A bioinformatics tool for the annotation and tag-counting of next-gen Illumina Solexa datasets. TASE works with CASAVA 1.0 builds, providing annotation, tag counts and visualization in a rapid manner.
PyMOL Plugins aims to provide many plugins for the PyMOL software.
You can find further informations about PyMOL on this website:
http://www.pymol.org/
Protein ALignment Optimiser (PALO) is a script for the selection and alignment of the best combination of transcripts among orthologous genes. PALO is mainly written in Python, although other programming languages are also implemented (R, Perl...).
GUI program to perform multiple searches on proteins for specific groups of amino acids in specific protein regions and to be able to filter by signalp scores. I hope to add lots of new functionality including the ability to create local database