Open Source S/R Bio-Informatics Software

We are developing data standards and software tools that implement these standards to develop a systemic approach to modeling, capturing, analyzing and disseminating flow cytometry data.

SPINA is software for the rapid, reliable and accurate determination of constant structure parameters of endocrine feedback control systems. It is a class of static function tests that require nothing more than steady-state concentrations of hormones or metabolites obtained in vivo. The first version of this cybernetic approach had been developed for the evaluation of the functional status of the thyroid gland, i.e. thyroid's secretory capacity (gain of thyroid, GT or SPINA-GT) and sum activity of peripheral deiodinases (GD or SPINA-GD). A second version has been established for insulin-glucose homeostasis. It delivers the secretory capacity of pancreatic beta cells (SPINA-GBeta), an estimate for the insulin receptor amplification (SPINA-GR) and a static disposition index as a measure for the loop gain of the feedback loop (SPINA-DI). Both implementations of SPINA have been validated in more than 50 clinical studies based on large cohorts.

RawGeno Version 2.0-1 is released! RawGeno is an R CRAN library automating the scoring of AFLP electropherograms. The library includes a graphical user interface to simplify its use. Note that the 2.0-1 version is delivered as a source (*.tar.gz for Linux and Mac users) and as a binary file (*.zip, for Windows users). The installation procedure differs slightly according to your system; but this should remain simple. Have a look at the readme file when you download your new copy from https://sourceforge.net/projects/rawgeno/files/rawgeno/RawGeno%202.0-1/ Make also sure to have a look at https://sourceforge.net/projects/rawgeno/files/ where you can find a detailed manual, demo datasets and many demo scripts.

Mass-Up is an Open-Source mass spectrometry utility for proteomics designed to support the preprocessing and analysis of MALDI-TOF mass spectrometry data. Mass-Up includes several tools and operations to load, preprocess and analyze MALDI-TOF data.

ESTIMATE (Estimation of STromal and Immune cells in MAlignant Tumors using Expression data) is a new approach to use gene expression signature to infer the fraction of stromal and immune cells in tumor tissues.

Copy Number Analysis for Targeted Resequencing (CONTRA) is a tool for copy number variation (CNV) detection for targeted resequencing data such as those from whole-exome capture data.

The Integrated Analysis Platform (IAP) has been designed and developed to support the analysis of large-scale image data sets of different camera systems. It aims in bridging different data domains and in integrating different approaches to data analysis and post-processing.

To facilitate the comparison of gene essentialities in two or more cell samples, we propose MoPAC (Modular Pipeline for Analysis of CRISPR screens), a Shiny-driven interactive tool for differential essentiality analysis in CRISPR/Cas9 screens. For installation and usage instructions please refer to the wiki page.

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 of spectra, peptides and proteins, PANDA works out a few quantitative filters and new scores for quantification confidence. Third, PANDA is designed for processing proteomics big data in parallel.

This is a library for creating and manipulating graphs with focus on speedy operations for large, sparse graphs.

ANDES. This is a library and a set of applications that can be used to analyze the results of deep sequencing results. (See Li et al.: ANDES: Statistical tools for the ANalyses of DEep Sequencing. BMC Research Notes 2010 3:199.)

We developed a systematic algorithmic solution for quantitative drug sensitivity scoring (DSS), based on continuous modeling and integration of multiple dose-response relationships in high-throughput compound testing studies. License: The DSS R-package is made available under the terms of the GNU General Public License, which means that the source code is freely available for use within other software, but if you alter the code and distribute it, you must make the new source code freely available as well. This software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY. In case you use the package in your work, we do appreciate a citation to a DSS publication. Citation: Yadav et al. (2014), Quantitative scoring of differential drug sensitivity for individually optimized anticancer therapies. Scientific Reports 4, 5193; DOI:10.1038/srep05193 Please visit the link below for details

An implementation of the Kernel-based Orthogonal Projections to Latent Structures (K-OPLS) method for MATLAB and R. The supplied functionality includes e.g. cross-validation, kernel parameter optimization, model diagnostics and plot tools.

Metaboflux is a generic approach for predicting flux distribution in metabolic networks under multiple and various constraints deducted from the experiments, to increase the biological relevance of the model.

Bioinformatics related demos and tutorials using the R programming language for large biological data. Licence: Creative Commons Attribution-NonCommercial 4.0 International License

A header file (cexcept.h) that provides Try/Throw/Catch macros similar to those available in C++ for error handling.

dataMAPPs allows routine and efficient processing of data from immunogenicity studies applying the MAPPs peptidomics technology to detect potential MHCI- or MHC-II epitopes as presented by dendritic cells (DC). It features quality control of the raw data, across-sample/across-donor normalization and visualization of results in a heatmap style (heatMAPPs). dataMAPPs' core is a generic R library that can be tailored to specific projects via dedicated control scripts which also allow reproducible recalculation of results. Consult README file for installation and usage instructions. Further documentation is supplied in PDF format. dataMAPPs is published under GPL license by a team of scientists working for Hoffmann-La Roche AG in Basel, Switzerland. The software is provided as is, to hopefully benefit other researchers. Related Publication in the Journal of Proteome Research: DOI: 10.1021/acs.jproteome.0c00309

This package provides high-level interface utilities for MCMC models via Just Another Gibbs Sampler (JAGS), facilitating the use of parallel (or distributed) processors for multiple chains, automated control of convergence and sample length diagnostics, and evaluation of the performance of a model using drop-k validation or against simulated data. Template model specifications can be generated using a standard lme4-style formula interface to assist users less familiar with the BUGS syntax. A JAGS extension module provides additional distributions including the Pareto family of distributions, the DuMouchel prior and the half-Cauchy prior.

vipR is a program to screen for sequence variants (SNPs, deletions) in sequence data generated by high-throughput-sequencing platforms. Information on this and other projects can be found on: http://www.altmann.eu

Aberration Detection in Tumour Exome (ADTEx) is a tool for copy number variation (CNV) detection for whole-exome data from paired tumour/matched normal samples.

ALEXA-Seq is a method for using massively parallel paired-end transcriptome sequencing for 'alternative expression analysis'.

AUTOMATED GENOTYPE CALLING OF LUMINEX ASSAYS

AWclust is easy to use non-parametric population structure analysis software written for R with a GUI interface. Just point and click and you will be on your way to discovering the important cluster information in your SNP data sets.

Acanthocephalan Proboscis Profiler is a tool for detecting acanthocephalan morphotypes.

Tools to build molecular-docking activity prediction models by PLS regression with iterative training and pose-selection. Descriptors include (i) docking score(s), (ii) pharmacophore features, (iii) multi-feature descriptors learned by decision trees.