Inferno

Name: Inferno
Works on: windows

Windows 7 and above

Version: 1
Last Updated: 26 Feb 2017
Release: 14 Apr 2010
Category: Science CAD

Rate this software:
1027 downloads

View Screenshots(1)

Comments

Download

Liked it? Tell others:

Inferno Tags

quantitative proteomics analyzer quantitation tool downstream statistical analysis quantitative proteomics proteomics statistical analysis analyzer

Inferno Details

Works on: Windows 10 | Windows 8.1 | Windows 8 | Windows 7 | Windows 2012
SHA1 Hash: f3bc83225255d432873371133c7b198f81c11bf9
Size: 4.1 MB
File Format: exe

Rating: 2.260869565 out of 5 based on 23 user ratings

Publisher Website: External Link
Downloads: 1027
License: Free

Inferno is a free software by Ashoka Polpitiya and works on Windows 10, Windows 8.1, Windows 8, Windows 7, Windows 2012.
You can download Inferno which is 4.1 MB in size and belongs to the software category Science CAD.
Inferno was released on 2010-04-14 and last updated on our database on 2017-02-26 and is currently at version 1.

Thank you for downloading from SoftPaz! Your download should start any moment now. It would be great if you could rate and share:

Rate this software:
Share in your network:

Inferno Description

Inferno can perform various downstream statistical analysis, normalization, data reduction, and hypothesis testing steps on quantitative proteomics data. The graphical interface, written in C#, provides a convenient way to visualize the data during the analysis process. All algorithms are implemented in R and the connectivity between R and .NET is achieved using StatconnDCOM server.
Inferno can group experiment runs using "Factors" based on treatment conditions (fixed effects), run blocks, LC columns (random effects) etc. Statistical properties of the data can be explored using the extensive plotting functions in Inferno.
Techniques for missing value imputation, removal of technical variations, inferring protein level information for bottom-up proteomics experiments, and hypothesis testing methods are implemented.
Significance tests like ANOVA can be performed using multi-level models taking into account the fixed and random effects or non-parametric methods such as Mann-Whitney test, Kruskal-Walis test etc.
Give Inferno a try to fully assess its quantitative proteomics data management capabilities!System requirementsNET framework 2.0
R for Windows 2.10.1
statconnDCOM

Inferno Screenshots

Similar Software