Search Results for "software"

PANDA is a comprehensive and flexib tool for quantitative proteomics data analysis, which is developed based on our solid foundations in quantitative proteomics for years. Several novelties have been implemented in it. First, we implement the advantage algorithms of LFQuant (Proteomics 2012, 12, (23-24), 3475-84) and SILVER (Bioinformatics 2014, 30, (4), 586-7) into PANDA. Second, we consider the state-of-art concept of quantification reliability in this quantitative workflow. On the levels...

...Initially the software was developed within a project of TU Berlin regarding the Kiel Canal. See project wiki for conditions that should be met by applications.

Java-based scientific graphics with support for Java, Groovy, MATLAB, Python, the R statistical environment, Scala and SciLab.

TOPS provides the benchtop scientist with a free toolset to analyze, filter and visualize data from functional genomic gene-gene and gene-drug interaction screens with a flexible interface to accommodate various different technologies and analysis algorithms in addition to those already provided here.

...It is the open-source successor to the commercial module for S-Plus© called "EnvironmentalStats for S-Plus", which was first released in April, 1997. The EnvStats package, along with the R software environment, provides comprehensive and powerful software for environmental data analysis. EnvStats brings the major environmental statistical methods found in the literature and regulatory guidance documents into one statistical package, along with an extensive hypertext help system that explains what these methods do, how to use these methods, and where to find them in the environmental statistics literature. ...

Peakplot is a Perl implemented freely available software application which labels peptide tandem mass spectra retrospectively after a Mascot database search. Availability: http://fgcz-peakplot.uzh.ch/

Chipster is a biologist-friendly analysis software for high-throughput data. It contains over 200 analysis tools for next generation sequencing (NGS), microarray and proteomics data. Users can combine tools in automatic analysis workflows, which can be shared. Chipster's interactive visualizations allow users to select datapoints and create new gene lists. For NGS data Chipster contains a built-in genome browser, which highlights SNPs and automatically indexes BAM files and calculates coverage. ...

GNUexp is a GNUstep/Cocoa framework and a collection of tools helping you to plan, develop, and administer applications associated with visual psychophysics, experimental psychology and statistical data analysis.

The Vyper Dynamic Server framework is a pure-java library for use in the creation of backend / server platforms. VDS is specifically tailored for financial applications, and suited for many high-throughput, asynchronous and distributed environments.

MGARCH is a software library for R-Project to simulate and estimate various MGARCH processes. This project also provides convenience tools for preparing data, summarizing and visualizing results, prediction and documentation.

Django-dataplot enables developers using the Django web framework to seamlessly integrate data-driven graphical plots into their web pages.

Quick reference for switching between mathematical computation environments for computer algebra, numeric processing and data visualisation. Examples are Matlab, IDL, SPlus, and their open-source counterparts Octave, Scilab, Python+NumPy and R.

Open, extensible web-based collaborative platform for microarray gene expression, sequence and PPI data analysis, exposing distinct chainable components for clustering, pattern discovery, statistics (thru R), machine-learning algorithms and visualization

RGnome is a gtk based frontend for GNU R, which is a widely used language for statistical computing. It features a fully working R console and an editor with syntax highlighting.