Open Source Python Bio-Informatics Software - Page 13
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Python Bio-Informatics Software
View 68 business solutionsBrowse free open source Python Bio-Informatics Software and projects below. Use the toggles on the left to filter open source Python Bio-Informatics Software by OS, license, language, programming language, and project status.
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SAT-Assembler
Scalable and accurate targeted gene assembly for large-scale NGS data
SAT-Assembler is a scalable and accurate gene assembly tool for large-scale RNA-Seq and metagenomic data. It recovers genes from gene families of particular interest to biologists with high coverage, low chimera rate, and extremely low memory usage compared with exiting gene assembly tools. Moreover, it is naturally compatible with parallel computing platforms. -
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Tools to perform metabolic control analyses on biochemical network models in SBML format. Allows computation of first and second order response coefficients, elasticities, first order control coefficients and first order spectral response coefficients.
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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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SPADE
A toolkit for developing and deploying protein structure algorithms.
The Structural Proteomics Application Development Environment is a Python tool kit for developing and deploying bioinformatics applications. Handles graphics, analysis, and modeling of protein sequence and structure. Source and Win installers available. SPADE source code can be cloned from http://www.github.com/deaconjs/SPADE. -
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STRIKER-GUI
Refine the spectral library to enhance its completeness and coverage.
STRIKER is a tool for correcting spectra with missing or incorrect adduct annotations. It also enables efficient construction of an HMDB-based spectral library and extraction of sublibraries from large spectral libraries. -
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Stochastic simulator for signaling pathways occuring in biological cells. Handles reaction-diffusion processes in 3D tetrahedral meshes. Please check our new repository: https://github.com/CNS-OIST/STEPS
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SIP (Sample Inventory Program) is a web application for managing mass quantities of lab samples. It is the first out-of-the-box Zope 3 app, and is field-proven. SIP may be used as-is, or as inspiration for other Zope 3 apps. (e.g. O/R RDBMS storage)
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ScientificIcons is a central repository of icons for scientific programs, including molecular biology, lab automation, sample tracking, chemistry, biology, physiology, etc. Looking for an icon for a flask, chemical, gene, plate, robot, atom?
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ScreenSifter
ScreenSifter is a unique tool for RNAi Screen analysis and management
ScreenSifter can help you in managing all your RNAi screens related projects in organized fashion. ScreenSifter, to perform the sequential, user friendly, guided, and advanced statistical analyses of RNAi screening results. User can upload their raw signal intensities and will avail complete quality control of screen, hit selection, plotting of hit genes with gene ontology, comparing of replicates or comparing of channels. In addition, ScreenSifter has visualization tools to plot specific genes or gene groups in the screen data. ScreenSifter also provides Gene Set Enrichment Analysis (GSEA), protein-protein interaction directly on the plot. Publication: ScreenSifter: analysis and visualization of RNAi screening data Pankaj Kumar, Germaine Goh, Sarawut Wongphayak, Dimitri Moreau and Frédéric Bard BMC Bioinformatics. 2013 Oct 3;14(1):290. http://www.biomedcentral.com/1471-2105/14/290/abstract -
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SeqFreed is a bioinformatics desktop. It provides efficient access to sequence data and gene features, a customizable command line interface to locally installed bioinformatic tools and flexible display of either text or images in different page modes.
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SeqSelector
Tools to select sequences for capture enrichment of next-gen libraries
The SeqSelector toolset is a suite of user-friendly, platform independent python scripts to facilitate selection of sequences for targeted enrichment of next-generation libraries through hybridization-based sequence capture. The scripts require no knowledge of programming, and can be applied to genome sequences of model or non-model species. We suggest a workflow in which genes of interest are first identified from previous studies and publicly available datasets of functional gene annotation. Once a list of candidate genes has been identified, their sequences are selected from the reference genome. These sequences are used as a query during a BLAST search of the unannotated genome of a non-model species, and then the corresponding sequences are returned, which can be used to design baits for hybridization-based sequence capture. -
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SnowyOwl
RNA-Seq based gene prediction pipeline for fungal genomes
SnowyOwl is a gene prediction pipeline that uses RNA-Seq data to train and provide hints for the generation of Hidden Markov Model (HMM)-based gene predictions, and to evaluate the resulting models. The pipeline has been validated and streamlined by comparing its predictions to manually curated gene models in three fungal genomes, and its results show substantial increases in sensitivity and selectivity over previous gene predictions. Sensitivity is gained by repeatedly running the HMM gene predictor Augustus with varied input parameters, and selectivity by choosing the models with best homology to known proteins and best agreement to the RNA-Seq data. SnowyOwl has successfully predicted genes in 26 novel fungal genomes. The pipeline can be installed locally for high throughput and control over configuration. It can also be run on a remote server through a convenient web interface for occasional use. -
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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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A repository of Python extension scripts for use with the Sparky (http://www.cgl.ucsf.edu/home/sparky) NMR assignment package. No packaged releases yet, but there are scripts in the Sourceforge CVS@ http://sparkyscripts.cvs.sourceforge.net/sparkyscripts
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Spatio-temporal simulation environment (STSE) is set of tools used to perform spatio-temporal simulations, dedicated mainly to biological systems. Main development language is Python. Tools are currently based on: EPD, VTK, qhull, openalea, PlantGL.
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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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SpikeyTree infers divergence times between populations that share a common history described by a tree. SpikeyTree assumes that the populations have been evolving under isolation, according to the Wright-Fisher with pure drift. SpikeyTree can use the Beta or the Beta with Spikes approximation to the allele frequency distribution under the Wright-Fisher. More details can be found in Tataru et al. Inference under a Wright-Fisher model using an accurate beta approximation If using this software in a publication, please cite the above article.
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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.
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Squere is a prokaryote genome annotation user-friendly software, with easy installer and graphical interface.
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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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Stochastic Rule Builder (SRB)
Modeling framework for capturing positional and temporal dynamics
We present a modeling framework aimed at capturing both the positional and temporal behavior of transcriptional regulatory proteins. There is growing evidence that transcriptional regulation is the complex behavior that emerges not solely from the individual components, but rather from their collective behavior, including competition and cooperation. Our framework describes individual regulatory components using generic action oriented descriptions of their biochemical interactions with a DNA sequence. All the possible actions are based on the current state of factors bound to the DNA. We developed a rule builder to automatically generate the complete set of biochemical interaction rules for any given DNA sequence. Off-the-shelf stochastic simulation engines can model the behavior of a system of rules and the resulting changes in the configuration of bound factors can be visualized. -
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SureFit generates 3D mesh surfaces (in VTK and Caret formats) from 3D structural MRI volumes (in formats such as Analyze, AFNI, raw).
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SynBioLib -- your toolkit for synthetic biology applications. SynBioLib aims to establish a platform on which the Synthetic Biology community can develop and share code that is common to many tasks and programs.
