Search Results for "convert python to c" - Page 3
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Showing 108 open source projects for "convert python to c"
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A collection of bioinformatics-related software created by members of Cancer Research UK (possibly among others).
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Genomic Binding Sites Analyser (BiSA)
Genomic Region Archiving and Binding Sites Analysis (BiSA)
BiSA is a bioinformatics database resource that allows investigators to run a number of overlapping genomic region analyses using their own datasets, or against the pre-loaded Knowledge Base. Analysis results can be restricted to a chromosome; the minimum base pair overlap in two sets or maximum distance between regions can be set; as can the maximum allowed distance between region centres. BiSA is capable of reporting overlapping regions that share common base pairs; regions that are... -
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Genetic data converter
Convert genetic data for hapmixmap software
Genetic data converter, for hapmap.org and hapmixmap data formats. Reads data in tabular format and writes in hapmixmap format. It's possible to add extensions to output different data formats. -
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alignlib is a C++ library for computing and manipulating sequence alignments of protein sequences. Most of the functions and classes are exported to python thus permitting easy scripting of complex tasks. Alignlib has moved to github (https://github.com/AndreasHeger/alignlib)
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hrefinder
Detection of homologous recombination events from SNP data
This software detects homologous recombination events (HREs) from SNP data. Based on SNP alleles calls and locations, it breaks the genomes into locally colinear blocks, and looks for cases where SNPs do not agree with the vertical pattern of inheritance in a phylogeny. It applies a dynamic programming algorithm to model whether changes within a block are likely a result of mutations, sequencing errors, or HRE. We use information from the nearby SNPs, so that if 1-2 alleles in a series of... -
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ReferenceFree
Scripts for reference free genomic analysis
These are Python scripts plus C/C++ programs for automating the reference free genomic analysis described in: Kua C-S, Ruan J, Harting J, Ye C-X, Helmus MR, et al. (2012) Reference-Free Comparative Genomics of 174 Chloroplasts. PLoS One 7(11). http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0048995 Analytical concept conceived by CHCannon and CSKua. Original script written in Mathematica by CHCannon. -
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A set of very optimized tools for indexing/querying huge genomes/files. Provided so far: a very fast exact mapper, and an unconstrained split-mapper
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The igraph library
Library for creating and manipulating graphs
This is a library for creating and manipulating graphs with focus on speedy operations for large, sparse graphs. -
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pyBioImage
Biological Imaging Software suite
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. -
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QDC (quick direct-method controlled) is an optimized exact implementation of the Gillespie's direct-method. It is designed for biochemical simulations when there is the need of dynamic parameters whose values can change during the simulation.
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NeMo is a high-performance spiking neural network simulator which simulates networks of Izhikevich neurons on CUDA-enabled GPUs. NeMo is a C++ class library, with additional interfaces for pure C, Python, and Matlab.
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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.
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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.
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Object oriented reusable software classes designed to be used to construct larger software projects developed in multiple software languages.
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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.
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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.
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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/
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H-mito is a mitochondrial DNA haplogroup prediction tool based on the phylogenetic tree http://www.phylotree.org/. Ancillary scripts: mitoP.py to extract mutation lists and clustal-2-fasta.zip to join, align through clustalw and convert data.
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""" E-Cell's source code repository has moved to GitHub! https://github.com/ecell The development of E-Cell now continues on GitHub. The Subversion repository was abandoned. """ E-Cell System is an object-oriented software suite for modeling, simulation, and analysis of large scale complex systems such as biological cells. It allows many components driven by multiple algorithms with different timescales to coexist in a model.
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These scripts written in Python allow you to convert fasta files into multifasta file and vice versa.
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In Systems Biology models are created in various formats (Matlab, Java, C/C++, Python, ...). "Annotate Your Model" will help you to link your model to biological web resources by creating a CSV file containing MIRIAM annotations.
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qips is a software package for analyzing ChIP-seq ("Chromatin ImmunoPrecipitation on sequencing") data. It finds enriched regions of arbitrary lengths and is therefore especially suited for analyzing ChIP-seq of histone marks or polymerase.
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A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.
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