Search Results for "python data analysis" - Page 5
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Showing 244 open source projects for "python data analysis"
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Epidat
Statistical data analysis
Programa multiplataforma de libre distribución para el análisis estadístico y epidemiológico de datos. Free distribution cross-platform program for statistical and epidemiological analysis of data. Sitio web: http://www.sergas.es/Saude-publica/EPIDAT Souceforge: https://sourceforge.net/projects/epidat/ Wikipedia: https://es.wikipedia.org/wiki/Epidat -
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X-SOCS
X-ray Strain Orientation Calculation Software
The X-ray Strain Orientation Calculation Software (X-SOCS) is a user-friendly software, developed for automatic analysisof 5D sets of data recorded during continuous mapping measurements. X-SOCS aims at retrieving strain and tilt maps of nanostructures, films, surfaces or even embedded structures. For more information: http://scripts.iucr.org/cgi-bin/paper?S1600576714004506 To download the latest version of XSOCS (D. Naudet, T. Vincent, M.I. Richard, G. Chahine), follow the instruction in the following link: https://gitlab.esrf.fr/kmap/xsocs You can find on youtube video tutorials explaining the main steps to follow for a standard KMAP data analysis. ... -
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QuickRNASeq
A pipeline for large scale RNA-seq data analysis
We have implemented QuickRNASeq, an open-source based pipeline for large scale RNA-seq data analysis. QuickRNASeq takes advantage of parallel computing resources, a careful selection of previously published algorithms for RNA-seq read mapping, counting and quality control, and a three-stage strategy to build a fully automated workflow. We also implemented built-in functionalities to detect sample swapping or mislabeling in large-scale RNA-seq studies. -
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SmartRoot
Semi-automated root image analysis software
...SmartRoot is an operating system independent freeware based on ImageJ and uses cross-platform standards (XML, SQL, Java) for communication with data analysis softwares. To cite us: Guillaume Lobet, Loïc Pagès and Xavier Draye. A Novel Image Analysis Toolbox Enabling Quantitative Analysis of Root System Architecture. 2011 Plant Physiology, Vol. 157 -
Tool Tracking Made SimpleShareMyToolbox is a tool tracking solution that enables companies to track individuals who are responsible for tools and small equipment. Mobile users are able to search the company tool inventory, request tools and accept tool assignments with Apple or Android devices such as phones or tablets. Built for contractors, the system was designed to be extremely easy to use.
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Short-3DXRD
Data analysis package for 3D-XRD
Please contact the authors by sending a message (via https://sourceforge.net/users/rmhuizenga). We will be glad to send you the programs. -
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PMM-Lab
Predictive Microbial Modeling plug-in for KNIME
PMM-Lab is an open-source extension to the Konstanz Information Miner (KNIME). It consists of three components: • a library of KNIME nodes (called PMM-Lab), • a library of “standard” workflows • an HSQL database.to store experimental data and microbial models. Altogether these components are designed to ease and standardize the statistical analysis of experimental microbial data and the development of predictive microbial models (PMM). Users can apply PMM-Lab to proprietary or public data and create bacterial growth / survival / inactivation models. The framework can easily be extended to other model types, e.g. growth/no-growth boundary models. ... -
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Random Bits Regression
Random Bits Regression is a strong general predictor.
...The fast-speed nature of our method not only allows big data analysis but also enables real-time recognition and predictions. The RBR framework also hints the mechanism of brain function and leads to a "wide learning" hypothesis. We believe that this method will make a great impact and enable many downstream applications. -
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QuickNGS
Next-Generation Sequencing workflow system
QuickNGS is a software for efficient and highly reproducible data analysis for Next-Generation Sequencing. -
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Zika-RNAseq-Pipeline
An open RNA-Seq data analysis pipeline tutorial
RNA-seq analysis is becoming a standard method for global gene expression profiling. However, open and standard pipelines to perform RNA-seq analysis by non-experts remain challenging due to the large size of the raw data files and the hardware requirements for running the alignment step. Here we introduce a reproducible open source RNA-seq pipeline delivered as an IPython notebook and a Docker image. -
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SHORE is a Next Generation Sequencing data analysis suite. Please find the manual at http://shore.sourceforge.net/wiki
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SPRITE
Parallel SNP detection pipeline
SPRITE is an open-source software package providing a parallel implementation of the Single Nucleotide Polymorphisms (SNP) detection genomic data analysis workflow. It consists of three tools: PRUNE for read alignment, SAMPA for intermediate file processing, and PARSNIP for parallel SNP calling. -
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Bamformatics
Toolkit and GUI for sequencing data analysis
The Bamformatics project aims to provide a coherent and consistent approach to analysis of high-throughput sequencing data. Its toolkit includes, among others, programs to identify variants and to compute various types genomic tracks. It also provides a graphical user interface to facilitate general bioinformatic workflows. The project wiki contains further details. -
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IAP.G2P
IAP - the Integrated Analysis Pipeline
The Integrated Analysis Platform (IAP) has been designed and developed to support the analysis of large-scale image data sets of different camera systems. It aims in bridging different data domains and in integrating different approaches to data analysis and post-processing. -
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Open Cezeri Library
Effective Linear Algebra and Computer Vision Library with JAVA
OCL stands for Open Cezeri Library (yet another linear algebra and matrix library). This library provides rapid coding as matlab ease of use. To learn for library please try to use test examples at OpenCezeriLibrary\test\test. It is originally developed at el-cezeri laboratory of Siirt University, in order to establish generic framework of reusable components and software tools for machine vision, machine learning, AI and robotic applications. Currently, it holds following main concepts 1-... -
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Savuka-VirtualBox
Virtual Box VDI of SliTaz Linux with Savuka installed and configured
...Point to any data directory, folder name: DATA, select Auto-mount. Note: "Folder name" must be 'DATA' in all caps to link on boot Thats it! More Info: www.osmanbilsel.net www.paulnobrega.net -
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SampleSpecificDBGenerator
Generates custom UniProt-XML databases from RNA-Seq data
SampleSpecificDBGenerator is a program that takes RNA sequencing data analysis results and translates them into protein database entries that are appended to a UniProt-XML file. This XML is condensed, meaning that much of the extraneous author information in UniProt-XMLs is removed for faster search times in Morpheus. Please cite http://pubs.acs.org/doi/abs/10.1021/acs.jproteome.5b00817. -
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HBS-tools
a set of tools for hairpin bisulfite-seq data analysis
The emerging genome-wide hairpin bisulfite sequencing technique facilitates the determination of DNA methylation fidelity and accurate methylation calling. Here we present HBS analyzer, the first command line based open-source tool to process genome-wide hairpin bisulfite sequencing data. It accepts Illumina paired-end sequencing reads as input, performs alignment to recover the original (pre-bisulfite-converted) DNA sequences and calls methylation status for cytosines on both DNA strands. -
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Perl OBD-II Logger
A Perl program for logging OBD-II PID data
The goal of the Perl OBD-II Logger project is to create a flexible and efficient application that can capture and log OBD-II Mode 0x01 PID data from an automotive scantool. It is designed with accurate and efficient PID data logging in mind, and provides NO support for reading or resetting diagnostic trouble codes. By default, the output log file contains time-stamped PID values in a simple Comma Separated Values (CSV) format that can be readily imported into popular data analysis or spreadsheet applications. ... -
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ForceReader
Soft for force spectroscopy data analysis
A simple Windows application for data of atomic force spectroscopy (force-distance curves) analysis. It is adopted for Veeco/Bruker Picoforce file format, but it is possible to use it for analysis of txt-table data. -
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This is a sophisticated & integrated simulation and analysis environment for dynamical systems models of physical systems (ODEs, DAEs, maps, and hybrid systems). It supports symbolic math, optimization, continuation, data analysis, biological apps...
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QuickNXS
Polarized ToF reflectivity raw data analysis tool
Data evaluation tool for the magnetism reflectometer at the spallation neutron source (BL-4A@SNS). Reads raw nexus files (HDF5) of histogrammed or event mode data to create reflectivity curves and 2D Q-maps. -
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jChIP
Graphical environment for exploratory ChIPSeq data analysis
jChIP is a GUI-based Java application for ChIP-Seq data analysis. It was created to build binding profiles between proteins and loci in the genome. In addition it computes statistics of the number of loci/positions containing specified amount of tags. jChIP is able to load data in several common formats (SAM, BAM, WIG, BED, Bowtie) and download loci definitions directly from the Ensembl database. -
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SCaVis
Scientific Computation and Visualization Environment
SCaVis is an environment for scientific computation, data analysis and data visualization for scientists, engineers and students. The program is fully multiplatform (100% Java) and integrated with Java and a number of scripting languages: Jython (Python), Groovy, JRuby, BeanShell. SCaVis can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. ... -
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chipexo
model based analysis of ChIP-exo data
Here we developed a novel analysis framework named MACE (model-based analysis of ChIP-exo) dedicated to ChIP-exo data analysis. MACExo has the following four steps: 1) sequencing data normalization and bias correction; 2) signal consolidation and noise reduction; 3) single nucleotide resolution border detection using Chebyshev Inequality; and 4) border matching using Gale-Shapley’s stable matching algorithm.
