Open Source Data Analytics Tools - Page 11

Help us to improve Lab Processes. We want to hear your feedback! Request new Lab Processes feature or module and receive a free Single User version with new feature. https://www.atgclabs.com/products/lp Lab Processes is a comprehensive and straightforward application specially designed for biologists and chemists who need to conduct a wide variety of tests and experiments on animals. Lab Processes requires minimal computing skills. Genetic and physiological data can be entered either manually or automatically when automated genotyping and analytical phenotypic assays are used. The Lab Processes application is web-based and completely customizable, with Animal Studies it is very simple to create, change and distribute data flows using an iterative approach. Animal Studies puts all the information right at your fingertips. If you are experiencing problems using Lab Processes then please report your problem to support@atgclabs.com

LaCor is intended for physical data analysis in High Energy Physics field. It was originally designed to aid in lambda hyperon correlations research in the Selex@FNAL experiment, but it should be useful for similar studies.

A suite of tools targeted for parsing and analyzing limit order data.

link-preview-js is a lightweight TypeScript library that extracts metadata from URLs or HTML content to generate rich link previews. By parsing Open Graph tags and other metadata, it retrieves information such as titles, descriptions, images, and videos. Designed primarily for Node.js and mobile environments, it facilitates the creation of link previews similar to those found on social media platforms.​

LithoGraphX is an open source software for scientists, by scientists. It aims at providing the plant science community with a solid, open, community developed, software for 3D data analysis and visualization. LithoGraphX is a fork of the MorphoGraphX project.

LoL Champ Stats is a free application for collecting and analyzing your League of Legends game data. Currently, we support summoners on NA, EUW and EUWE, but have plans to expand to other regions as RIOT's API allows. Development is very active and I am always taking feature requests on top of what I already have planned. Constructive criticism is welcome! Feature Highlights: - Breakdown by Role, Side, Champion - Find your best solo queue allies and worst enemies - Omit troll and AFK games from stats collection for truly accurate data - Many more currently in development!

Logbus-ng consists in a set of tools to aid developers perform Log Analysis in all the stages: log generation, collection, distribution, storage and analysis. It is designed specifically for Field Failure Data Analysis in critical distributed systems

Latest Code in GitHub: https://github.com/aquaskyline/MICA-aligner To better utilize MIC-enabled computers for NGS data analysis, we developed a new short-read aligner MICA that is optimized in view of MIC’s limitation and the extra parallelism inside each MIC core. Experiments on aligning 150bp paired-end reads show that MICA using one MIC board is ~4.85 times faster than the CPU-(multi-core)-based BWA-MEM and about the same speed as the GPU-based SOAP3-dp. Furthermore, MICA’s simplicity allows very efficient scale-up when multiple MIC boards are used in a node (3 cards gives a 14-fold speedup over 6-core BWA-MEM).

Microarray Data Analysis System, a Java application, provides an intuitive graphical scripting interface to design analysis protocols and perform normalization and filtering to microarray data by a variety of implemented statistical analysis modules.

Software quality assurance is essential in genomic medicine. Nonetheless there is currently no systematic evaluation of existing computational tools used for whole genome or whole exome sequencing data analysis. We developed a Metamorphic Testing tool that tests three widely used short-read alignment programs (BWA, Bowtie and Bowtie2) in order to systematically evaluate their performance.

Data processing and analysis in proteomic studies is a significant challenge and very time consuming. MS Data Miner (MDM) is a freely available web-based software to analyze, process, validate, compare, and display output files from MS software, including Mascot (Matrix Science), Mascot Distiller (Matrix Science) and ProteinPilot (AB Sciex). It was developed to significantly decrease the data analysis time and to handle large proteomic studies. This open sourced system includes a spectra validation-system and automatically screenshot generation tool for Mascot-assigned spectra. In addition, a GO term analysis function and a tool for generating comparative data-reports are included. The software is described in the following paper: Dyrlund TF, Poulsen ET, Scavenius C, Sanggaard KW, Enghild JJ. MS Data Miner: A web-based software tool to analyze, compare and share mass spectrometry protein identifications. PROTEOMICS 2012 http://www.ncbi.nlm.nih.gov/pubmed/22833312

Advances in high-resolution mass spectrometry facilitate the identification of hundreds of metabolites, thousands of proteins and their post-translational modifications. This remarkable progress poses a challenge to data analysis and visualization, requiring methods to reduce dimensionality and represent the data in a compact way. To provide a more holistic view, we recently introduced circular proteome maps (CPMs). However, the CPM construction requires prior data transformation and extensive knowledge of the Perl-based tool, Circos. We present MS-Helios, an easy to use command line tool with multiple built-in data processing functions, allowing non-expert users to construct CPMs or in general terms circular plots with a non-genomic basis. MS-Helios automatically generates data and configuration files to create high quality and publishable circular plots with Circos.

Mass spectrometer is a useful tool for biochemistry research field analysis. It is used to identify microorganisms, protein, chemical compounds and complex diseases by blood analysis. There is many tools and libraries to handle different steps of mass spectrometry (MS) data analysis. However, the integration of all these tools lacks user friendly approaches. We developed a machine learning solution capable to handle all steps of MS data analysis. The ML-MS Tool is an free software that integrate different mass spectrometry analysis techniques with machine learning approach. We focused in automatic feature extraction, avoiding the need of manual peaks analysis of biomarkers. With all feature extracted ML-MS versatile classification tool avoiding the need reprocess the new MS samples. ML-MS is divided into two sub-products, the ML-MS Tool and the ML-MS Library; both products are free and open source. The ML-MS Library is focused on script routines.

MS2Browser is a tool for interactive pre-processing, analysis and visualization of LC-MS/MS data. Input is an mzXML file with centroided LC-MS/MS data. The program is written in MatLab and it was designed for the analysis of siderophores (iron transporting small molecules) in bacterial media. Some of the functionality and use of MS2Browser is described as part as an open-access book chapter: http://www.intechopen.com/books/applications-from-engineering-with-matlab-concepts/small-molecule-lc-ms-ms-fragmentation-data-analysis-and-application-to-siderophore-identification A siderophore structural database assembled for this project can be found alongside the MS2Browser software (.cfw format to be used with ChemBioFinder(TM) ). NOTE: The program is written for personal use to assist siderophore analysis using high-resolution LC-MS/MS data. Please contact me if you have any questions about its use, bugs, etc.

A user-friendly lightweight BI tool. It is a set of plugins of MTTK Lowcode Engine, so the user manual and develop manual are combined together with MTTK Low Code Engine. Code repository: https://github.com/jamie-mttk/mttk-lowcode-designer Online demo available at http://139.129.210.30:8825 (First visit may be slow) Username: admin Password: 123456 Lightweight No data processing engine offered, all the data processing depends on the target Databse Server. Easy to use For example ,to build an echart need to provide many many configurtaions/options, such as title location, grid position,etc. To simplified the usage ,only the important options should be configured by user with default setting, other options are set by BI system automatically.

LMS Tools is a set of tools and libraries for administrators and users of learning management systems to perform, for example, portal integration, LMS management or usage data analysis.

MathROOT is a tool for high-energy physicists to access the ROOT data analysis framework from within Mathematica

A set of Matlab functions which compute effect size statistics and (exact) confidence intervals for a wide range of data analysis situations, including two-sample-, oneway-, twoway- and contrast analyses as well as categorical data in tables.

An end-to-end solution for medical management including dispatching medical units, employee management, medical billing, and data analysis.

A tool to support data-analysis on a Oracle-DB. In Greek mythology, Metis (Μῆτις) was of the Titan generation ... The Stoic commentators allegorized Metis as the embodiment of "wisdom" or "wise counsel" ... (from Wikipadia)

Microarray data analysis tool for detection of chromosomal abberations, statistical evalutation of evidence and visualization of expression levels.

A MATLAB-based software package for microbiological research designed to detect and outline bacterial cells in microscopy images and to analyze fluorescence signal inside them.

MoDAVE aims at providing data analysis and visualization extensions to Mosaic datasets, including cubed sphere data, to the Climate Data Analysis Tools (CDATA) in particular.

MolBioLib is a compact, portable, and extensively tested C++11 software framework and set of applications tailored to the demands of next-generation sequencing data and applicable to many other applications. MolBioLib is designed to work with common file formats and data types used both in genomic analysis and general data analysis. A central relational-database-like Table class is a flexible and powerful object to intuitively represent and work with a wide variety of tabular datasets, ranging from alignment data to annotations. MolBioLib includes programs to perform a wide variety of analysis tasks such as computing read coverage, annotating genomic intervals, and novel peak calling with a wavelet algorithm. While MolBioLib was designed primarily for bioinformatics purposes, much of its functionality is applicable to a wide range of problems. Complete documentation and an extensive automated test suite are provided. This package assumes fluency in both UNIX and C++.