Search Results for "python data analysis" - Page 18
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Showing 505 open source projects for "python data analysis"
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Trauma registry suite; Data collection application and server scripts to build trauma data warehouse and perform web-based analysis reporting. Cross-platform compatible for Windows, Apple, Unix, or Linux.
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Spectre for mass spectrometry. (Quantitiave) analysis of multiple ls-ms(ms) runs, using mzXML import of raw data. (working on mzDATA). Provides filters, alignment- and export tools.
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GSCope3 performs microarray data analysis to find correlations between BLSOM clusters and any form of omic knowledge expressed in OSML. Includes example metabolic pathway, gene ontology, genome position, transcription and PPI knowledge in OSML format.
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ParticleStats is software for analysing tracked particles from RNA Localization experiments. Analysis is performed on the X and Y coordinated of the tracked RNA particles
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mccore is a bioinformatics data structures and tools library for efficient analysis and manipulation of RNA, DNA and protein 3D structures.
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The Genomic Diversity and Phenotype Data Model (GDPDM) captures molecular and phenotypic diversity data. MySQL databases are used to implement the schema. This project develops software tools (written in Java, Perl, etc.) associated with this model.
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SOMMS is an analysis program for mass spectra intended for bio-informatics research. Its goal is to relate theoretical spectra with raw data. A previous version, accompanying an article published in Rapid Comm. in Mass Spectrometry, was written in Perl.
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Esra is a 100% pure java library for the interactive analysis of molecular mechanics data. Mangles your data in your favorite scripting language.
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GEDAS is a software to perform microarray data analysis with friendly user interface and convenient data display. Currently some commonly used data clustering algorithms have been implemented in this software.
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PARs is a bioinformatics tool for the analysis of cis-regulatory DNA sequences. Composed of two parts: a suite of sequence analysis algorithms for predicting cis-binding sites in DNA sequences and a GUI for visualisation and exploration of the results.
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Open2Dprot is an open-source proteomics project for the development of bioinformatic tools for n-dimensional protein expression data analysis of quantified protein expression across multiple samples from research experiments.
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A collection of novel phylogenetics algorithms that assists biologists, geneticists, and bioinformaticians in the analysis and interpretation of phylogenetic data.
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HyPhy is a comprehensive environment for maximum likelihood statistical analysis of genetic sequence data. It includes a large collection of out of the box analyses, a feature-rich graphical user interface for custom data analysis and a scripting languag
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GEOSS (Gene Expression Open Source System), formerly known as GeneX Va, provides a web-based interface for the storage and analysis of Affymetrix GeneChipŽ and other microarray data. It has been developed by engineers at the GeneChip/Microarray Bioinform
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a cross-platform framework and environment for haplotype analysis with a special focus on human and medical genetics in python/wxpython
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The Canopy project is an initiative to merge and expand the functionality of Perl-speaks-NONMEM (PsN), Census, Xpose and PopED. The goal is to produce a coherent, inclusive and convenient platform for pharmacometric data analysis.
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MASQOT-GUI is an open-source, platform-independent application for two-channel microarray spot quality control. Included is a set of tools for gridding, segmentation, quantification, multivariate spot quality assessment and data visualization.
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Genetic programming environment to inference context free grammars base on positive and negative examples of language.
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PROMPT is a system for retrieval, analysis, mapping and comparison of proteins. It allows easy mapping of different types of sequence IDs, data retrieval and integration, a multitude of analysis and comparison algorithms and a full-blown easy to use GUI.
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Cellogica is a cellular logic analysis tool. It incorporates sequential logic and finite state machine to elucidate the relationship between transcription factors and corresponding gene expression.
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PHLIP is a MATLAB centric academic software application for quantification of biofilm structure from confocal laser scanning microscopy (CLSM) data, intended for automated processing and statistical analysis of large data sets produced by CLSM.
