Search Results for "python::module" - Page 9
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Showing 409 open source projects for "python::module"
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SBEToolbox
Systems Biology and Evolution Toolbox (SBEToolbox).
SBEToolbox (Systems Biology and Evolution Toolbox) is being developed in MATLAB as a menu-driven UI software to determine various statistics of the biological network. Some of its features include (but not limited to) algorithms to create random networks (small-world, ring lattice etc..), deduce clusters in the network (MCL, mCode, clusterOne) etc... ******************************************************************************************************************************** PROJECT... -
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SLiMScape
A Protein Short Linear Motif Analysis Plugin for Cytoscape
SLiMScape adds Short linear motif discovery tools to Cytoscape, transforming it into a SLiM discovery platform. A tutorial is available at the following URL: http://bioware.ucd.ie/slimscape/ -
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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. -
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AMBIENT
Find active modules in metabolic networks using high-throughput data
...If you wish to use the version used in the paper it is v0.6.3, however I recommend using the latest version which works in the same way but with additional options and has stability and performance improvements. Thanks for your interest! AMBIENT (Active Modules for Bipartite Networks) is a Python module that uses simulated annealing to find areas of a metabolic network (modules) that have some consistent characteristic. AMBIENT does not require predefined pathways and gives highly specific predictions of affected areas of metabolism. For example, scores for reactions based on transcriptional data of their annotated encoding genes can be used in the network and modules of coordinated expression changes can be found. ... -
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ARDEN
Specificity Control for Read Alignments Using an Artificial Reference
We introduce ARDEN (Artificial Reference Driven Estimation of false positives in NGS data), a novel benchmark that estimates error rates based on real experimental reads and an additionally generated artificial reference genome. It allows the computation of error rates specifically for a dataset and the construction of a ROC-curve. Thereby, it can be used to optimize parameters for read mappers, to select read mappers for a specific problem or also to filter alignments based on quality estimation. -
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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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GS junior Webserver
GS junior Webserver
GS junior Webserver is a web based file server to easily access sequencing data of -
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GenOO-HTS
A Modern Perl Framework for High Throughput Sequencing analysis
...GenOO-HTS models biological entities into Perl objects and provides relevant attributes and methods that allow for the manipulation of high throughput sequencing data. Using GenOO-HTS as a core development module reduces the overhead and complexity of managing the data and the biological entities at hand. GenOO-HTS has been designed to be flexible, easily extendable with modular structure and minimal requirements for external tools and libraries. -
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...Instead, the project provides "applications" that allow EHR's to perform Outpatient Orders and Results via HIE, and collect these into their EHRs to feed the EHR "CPOE module / section" (ex. with prescribed drugs, ordered labs and results, ....) The first module in the project was the "ePrescribing application"; certified by RxHub and SureScripts back in 2007. New implementation needs to "re-certify" with SureScripts (which should not be much of a problem) Work on eLabs (using ELINCS, LOINC etc.) is being considered as participants join the project become available. ...
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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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Application to create 'electronic fluorescent pictographic' representations of gene expression patterns. Created at the Provart lab of the department of Cell & Systems Biology, University of Toronto.
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GEPETTO - Gene Prioritization in Java
GEPETTO (GEne Prioritization ExTended TOol)
...It currently incorporates six prioritization modules, based on gene sequence, protein-protein interactions, gene expression, disease-causing probabilities, genomic context). GEPETTO is written in Java/Python and supported by an advanced modular architecture, which means that it can easily be modified and extended by the user, in order to include alternative scoring methods and new data sources. We intend to extend the system from gene-level to variant-level prioritization, by exploiting the variant data in the MSV3D database. Contact: bmhoan@gmail.com or walter.vincent.fr@gmail.com -
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StabiTissue
3D Stabilization software for intravital imaging of mouse organs
- 2D Stabilization in each slice of the stacks in time. - 3D Stabilization intravital imaging of all the stacks (including the dimension Z) - create the videos and the stabilized images in a new folder -
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SpiKeDeteKt
An automatic spike detection program to be used with new KlustaKwik
This is an automatic spike detection program which takes account of probe geometry and produces a .mask file to be used with the new masked version of KlustaKwik. We recommend you use Python 2.6 or 2.7, e.g. a free academic version can be obtained from Entthought Python. The input files for SpiKeDeteKt are: .dat (raw data file) .probe (probe file, described below - user constructed) parameters.py (optional - otherwise it uses defaultparameters.py) SpiKeDeteKt outputs the following files: .fet.n (feature file) .mask.n (needed for using the new (masked) KlustaKwik) .clu.n (a trivial clue file where everything is put into a single cluster) .fmask.n (trial - float masks instead of binary, we are using this for testing masked KlustaKwik) .spk.n (spike file) .upsk.n (unfiltered spike waveform) .res.n (list of spike times) .xml (an xml file with all the parameters that can subsequently be used by neuroscope or klusters) .fil (highpass filtered data) .h5 ( -
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Laboratory notebook using version control system and independent date-time stamping (as notarization), in order to ensure record accountability, auditing, and conforming to US FDA 21 CFR 21's rule on electronic records. Please kindly rate this application or drop me an email at [ mauriceling AT acm DOT org ] so that I can hear from you. Otherwise, I have no idea who the users are. Please kindly help.
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The PyCogent project is moving to GitHub. When completed, you will find us at http://github.com/pycogent/pycogent/. You can find the PyCogent website at http://www.pycogent.org.
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CoNIFER
Homepage for CoNIFER (Copy Number Inference From Exome Reads)
CoNIFER uses exome sequencing data to find copy number variants (CNVs) and genotype the copy-number of duplicated genes. -
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Prediction of MHC class I- and MHC class II-restricted T-cell epitopes. Prediction of proteasomal/immunoproteasomal processing of antigens. Prediction of peptide-TAP binding.
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Pysimony
A Pythonic Implementation of Parsimony Inference of Phylogeny
UPDATE: After some bug fixes, I've ditched Pysimony for Javamony: https://sourceforge.net/projects/javamony/ Given Python's beauty, I know that someday I will have to finish Pysimony. A student's first attempt at a phylogenetic inference program, written in the simplistic yet elegant Python. Pysimony reads a FASTA file (only ATGC accepted) specified as its only argument. Basic testing has shown that it is slow, inaccurate and most definitely inefficient. An unlikely-to-be-the-most-parsimonious tree is printed upon completion in basic Newick tree format. As all parts of the program are the original work of a beginner programmer, this may represent one of the worst approaches to solving the phylogenetic problem. ... -
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u/sbmv2012
Taxonomy assignment of metazoans using a python based pipeline
The aim of this project is to create an automated pipeline for taxonomic assignment of DNA sequences obtained from environmental samples. We develop a series of python scripts to process the raw sequence data obtained from benthic environmental samples and to taxonomical assignment of these sequences and finally to integrate all data in a relational database. -
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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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Primer Design Tool
Design PCR primers
A simple tool to design DNA primers for mutagenesis in BGME lab (JHU). Allows users to select or enter background sequence and add current and new mutations. During the design process, users are presented with various updating checks to guide them.
