Open Source Linux Data Analytics Tools - Page 4
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Data Analytics Tools for Linux
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The repository has been moved to: https://github.com/wojdyr/fityk. Fityk is nonlinear curve-fitting and data analysis software. It is specialized in fitting peaks (bell-shaped functions like Gaussian, Loretzian, Pearson7, Voigt) to experimental data.
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3Depict
atom probe software : visualisation and data analysis
This software is designed to help users visualize and analyze 3D point clouds with an associated real value, in a fast and flexible fashion. The primary use is in Atom Probe Tomography, which is an atomic imaging technique. However the program may also be useful in other areas, such as geospatial data, lidar, etc. -
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Crystalsim - XRD hkl simulation
X-ray diffraction (XRD) analysis for hkl simulation of any crystal.
Crystalsim is a simple freeware program with a neat graphical user interface for X-ray diffraction (XRD) data analysis . It can simulates all possible {hkl} planes data for the selected crystal. Crystallographic Information File (.cif) can also be used. Analyze both powder diffraction and single crystal data . Indexed at International Union of Crystallography (IUCR). Crystalline lattice parameters such as ‘a’, ‘b’, ‘c’ as well as interfacial angles such as alpha, beta, gamma can also be entered manually. Processed data can be saved as .csv file format. Designed by M Kanagasabapathy, Assistant Professor, Department of Chemistry, Rajus' College, Affiliated to Madurai Kamaraj University Rajapalayam (TN) India email: rrcmks(at)gmail.com -
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Uranie
Uranie is CEA's uncertainty analysis platform, based on ROOT
Uranie is a sensitivity and uncertainty analysis plateform based on the ROOT framework (http://root.cern.ch) . It is developed at CEA, the French Atomic Energy Commission (http://www.cea.fr). It provides various tools for: - data analysis - sampling - statistical modeling - optimisation - sensitivity analysis - uncertainty analysis - running code on high performance computers - etc. Thanks to ROOT, it is easily scriptable in CINT (c++ like syntax) and Python. Is is available both for Unix and Windows platforms (a dedicated platform archive is available on request). Note : if you have downloaded version 3.12 before the 8th of february, a patch exists for a minor bug on TOutputFileKey file, don't hesitate to ask us. -
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Query2Report
Simple open source business intelligence and reporting solution
Query2Report provides a simple opensource business intelligence platform that allows users to build report/dashboard for business analytics or enterprise reporting. The application transforms bunch SQL queries to beautiful google charts. The application caters to real time reporting with automatic refresh functionality. Refer to video tutorials Concepts - https://youtu.be/NdEUZ2suiv8 Data Analytics Demo - https://youtu.be/evCf74Ou7kg Data Forecast Demo - https://youtu.be/Nmi1UIDpFpM Report Showcase - https://youtu.be/gxlEGq5iSm8 Getting Started - https://youtu.be/vyU7BUE5rbs Building First Report - https://youtu.be/MZm6rhf2_Ts Source Repo GitHub : https://github.com/yogeshsd/query2report -
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Canvas-2DGC
A user-extensible Freemat based 1DGC and GCxGC data analysis software.
Canvas-2DGC is a user-extensible, Freemat based 1DGC and comprehensive 2DGC (GCxGC) data visualization and processing software. GCxGC-MS data analysis is supported for Agilent GCMS data format. The first goal of this project is to provide a highly intelligent analytical tool for reducing a complex chromatographic data analysis, either 1D or 2D, to just a few simple and intuitive steps. The second goal is to provide a fast and practical way of customizing or extending functionalities by ordinary users through high-level Freemat scripting. Freemat, one of open source Matlab clones, is chosen for this very purpose, because its syntax is most compatible with Matlab and it is lightweight - very suited for ordinary users. Contact xguan@jnxtec.com for support. -
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Central Proteomics Facilities Pipeline
A data analysis pipeline for shotgun mass-spectrometry proteomics.
CPFP provides a pipeline for the analysis of MS/MS proteomic data, targeted at the needs of central proteomics facilities. == Project Status - Updated January 3rd 2019 == CPFP has not been actively developed since 2014, when I left the proteomics group at UTSW. To access up-to-date algorithms for the analysis of proteomics data, other tools would now be preferred. However: * Limited fixes have been made on the main master branch by Phil Charles at the University of Oxford. * As of 2019, limited maintenance is being carried out by myself (now in the BioHPC high performance computing group at UTSW), to allow CPFP to install and run on RHEL 7 / CentOS 7, with updated TPP 5.1.0 and search tools. This updated code can be found in the utsw-biohpc branch of the git repository, and may become a 2.2.0 release if time and testing allows. -- David Trudgian - 2019/01/03 -
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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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SmartRoot
Semi-automated root image analysis software
SmartRoot is a semi-automated image analysis software which streamlines the quantification of root growth and architecture for complex root systems. The software combines a vectorial representation of root objects with a powerful tracing algorithm which accommodates to a wide range of image source and quality. The software supports a sampling-based analysis of root system images, in which detailed information is collected on a limited number of roots selected by the user according to specific research requirements. 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 -
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ToscanaJ reimplements the classic interface for Formal Concept Analysis, a data analysis technique based on set theory.
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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. In the folder XSOCS_tutorials_data of the Files tab, you can download the dataset used in the tutorials. Make sure to read the readme file. -
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GCDPlot is a Microsoft Excel VBA program for geochemistry and geology data analysis. GCDPlot can use the Microsoft Excel data to plot scatter, ternary chart and discrimination diagrams that can be add, delete and modify by user.
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PAIDA is pure Python scientific analysis package and supports AIDA (Abstract Interfaces for Data Analysis). PAIDA can create/plot histograms and functions etc. The parameter optimization and its error evaluation are also supported. Can use with Jython!
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Pathomx
Workflow-based data analysis built on IPython
Pathomx is a workflow-based tool for the analysis and visualisation of experimental data. Initially created as a tool for metabolomic data analysis is has been extended and can now be used for any scientific and non-scientific data analysis. -
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A collection of code, bundled into a single R package, to perform several aspects of data management, image pre-processing, data analysis and statistical inference related to the quantitative analysis of dynamic contrast-enhanced MRI (DCE-MRI).
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LaueTools
open source python packages for X-ray MicroLaue Diffraction analysis
LaueTools is an open-source project for white beam Laue x-ray microdiffraction data analysis including tools in image processing, peaks searching & indexing, crystal structure solving (orientation & strain) and data & grain mapping visualisation. Python 3 Code and new features are now at: https://gitlab.esrf.fr/micha/lauetools -
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EChem++ is a software system based on an object oriented approach to electrochemical experimentation, simulation, and data analysis. Currently, development emphasis lies on the modelling and simulation as well as the analysis modules.
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NLOPredict is a nonlinear optical prediction and data analysis tool. Nonlinear optical measurements can yield information about the structure of crystals, and orientation of molecules at surfaces and interfaces.
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sadsa
SADSA (Software Application for Data Science and Analytics)
SADSA (Software Application for Data Science and Analytics) is a Python-based desktop application designed to simplify statistical analysis, machine learning, and data visualization for students, researchers, and data professionals. Built using Python for the GUI, SADSA provides a menu-driven interface for handling datasets, applying transformations, running advanced statistical tests, machine learning algorithms, and generating insightful plots — all without writing code. -
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123VCF
An Intuitive and Efficient Tool for VCF file filtration
123VCF has been developed to make the filtration step of VCF files efficient and more importantly easy to understand. It can be used in the most important step of whole exome/genome sequencing data analysis in the research and also clinical settings. User manual: https://dl.adbioinformatics.net/123VCF/123VCF_Manual.ver2.pdf If you use 123VCF, please cite its paper: Eidi, M., Abdolalizadeh, S., Moeini, S. et al. 123VCF: an intuitive and efficient tool for filtering VCF files. BMC Bioinformatics 25, 68 (2024). https://doi.org/10.1186/s12859-024-05661-5 _____________________________________ Authors: Milad Eidi, Samaneh Abdolalizadeh, Soheila Moeini Supervisors: Javad Zahiri, PhD - Masoud Garshasbi, PhD Department of Neuroscience, University of California San Diego, California, USA Department of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran -
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Automated Microarray Data Analysis
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An introduction to Data Analysis in R
A guide for learning the basic tools on data anaylisis with R
An Introduction to Data Analysis in R [Book] A guide for learning the basic tools on data anaylisis: process, visualize and learn from your data using R programming. This repository holds the necessary data sets for the book "An introduction to Data Analysis in R", to be published by Springer series Use R!. The book can be purchased in XXX. The book is meant as an introductory guide to manipulate data sets in the Big Data paradigm. One of the main goals of this book is to take the analyst from the very first moment when she/he contacts with data to the final conclusion and presentation of results of analysis. We take into account the variety of fields where data analysis occurs nowadays. We pay special attention to the different ways to obtain data and how to make it manageable before starting the analysis. The data analysis includes most of the basic visualization options and some advanced extra options. Finally, basic statistics is used to learn from the processed data. -
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Audit Data Analytics, LLC's ADA software is an open source solution for performing operations on audit data, such as filtering specific records and summarizing data sets.
