Search Results for "file-studio"

A data visualization and processing tool for scanning probe microscopy (SPM, i.e. AFM, STM, MFM, SNOM/NSOM, ...) and profilometry data, useful also for general image and 2D data analysis.

mzMatch is a Java collection of small commandline tools specific for metabolomics MS data analysis. The tools are built on top of the PeakML core library, providing mass spectrometry specific functionality and access to the PeakML file format.

PlateEditor is a free web application to work with multi-well plates, from creation of layouts to data visualization and aggregation. It is primarily designed as a tool to help scientists working in the field of biology to simplify and fasten the process of data analysis. It is fully client-side: files are never transferred to the server, ensuring complete security and privacy of research data. It doesn't require any installation. - PlateEditor is available at this...

...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. (Output to an SQLite3 database file is also available). It is written in Perl, so it runs in any computing environment with a working Perl interpreter. The program supports scantools that are based on the ELM Electronics ELM327 or OBD Solutions STN1110 programmed microcontrollers. ...

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...

...It uses automake/autoconf to be platform independent and GNU install compliant. In addition, m4 macros are automatically downloaded and the according compiler flags included based on a list of boost libraries provided in the config file.

xSonify is a Java-based sonification data analysis prototype for displaying science data as sounds, with an emphasis on supporting visually-impaired researchers. Alternatives include Sonification Sandbox <http://sonify.psych.gatech.edu/research/>, MathTrax and Earth Plus <http://prime.jsc.nasa.gov/>, Sonifyer <http://www.sonifyer.org> and SoniPy <http://sourceforge.net/projects/sonipy/>. More at the main forum for sonification, ICAD <http://icad.org>

Framework for text mining, data integration and data analysis. Keywords: ontology and graph alignment, relation mining, warehouse, semantic database integration, bioinformatics, systems biology, microarray, Java.

Census is a comprehensive cross-platform project manager and integration hub for NONMEM, the gold standard tool for model-based pharmacometric data analysis.

Import width files into MySQL, manipulate and export back to fixed width. Useful for health data analysis or *whatever*. Includes Thompson Reuters Care Discovery 3000 data file definition. Windows, OS X, Linux Requires PHP 5.3.x and MySQL 5.1.x

A GPR processer and viewer written in Python!

A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.

While resting-state fMRI is drawing more and more attention, there has not been a software for its data analysis. Based on MATLAB, we developed a package named REST. Currently REST has three main functions: function connectivity, ReHo and ALFF.

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.

Command line encryption tool for one time, daemon, or stream data processing. Data stats, check sums, conversion to/from text. Data/keys from files, pipes, standard input. In-place/diverted processing or data-analysis-only. Random, file, password keys.