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Workflow software and methods language to improve the reproducibility of research results in the scientific community. The Aquarium Project aims to provide the means to specify, as precisely as possible, how to obtain a result using a combination of formal statements, informal descriptions, and photographs.
Cloud-based framework that allows users to estimate the age of individual subjects using cortical thickness maps derived from their own locally processed T1-weighted whole brain MRI scans. The provided age prediction models were trained using (i) relevance vector machines and (ii) Gaussian processes machine learning methods applied to cortical thickness surfaces obtained using Freesurfer v5.3.
Software toolkit for atomistic simulations to explore how carbohydrates function. Applications include the preparation of structures for glycolipids, nanocellulose, and glycans linked to glycoproteins.
Dataset that can be used to train and test Machine Learning Models to detect cyber-attacks to an indoor real time localization system for autonomous robots. The data was gathered in an indoor mock-up apartment using an autonomous robot with an on-board Real Time Location System (RTLS).
Dataset that can be used to analyze cyber-attacks to an indoor real time localization system for autonomous robots. Data have been gathered in an indoor mock-up apartment using an autonomous robot with an on-board Real Time Location System (RTLS).
Matlab software toolkit designed to facilitate Granger-causal analysis with multivariate and possibly multi-trial time series data. Annotated demonstration scripts are available which may be used as templates to assist in this the toolbox's functions.
Analysis software for analysis of finite elements and simulations of 3D shape changes in a tissue that result from patterns of growth. It works with Matlab to model biological growth of leaves, petals, and similar organs.
Software that supports biological and biomedical researchers in interpreting protein quantification, interaction and post-translational modification data. Perseus contains a comprehensive portfolio of statistical tools for high-dimensional omics data analysis covering normalization, pattern recognition, time-series analysis, cross-omics comparisons and multiplehypothesis testing.
Software for detecting the integrated copy number variation regions (CNVRs) using population sequencing data. The high-confidence CNVRs are discovered and refined by both individual and population criteria, and the result is a VCF format genotype file which can be used in GWAS/QLT research.
Software for alignment, comparison of macromolecules, and performing least-squares superpositioning of biomacromolecules. The program offers a superset of the LSQ- functionality inside O and removes some of the limitations and irritations of the LSQ-commands.
Software for nucleosome detection that builds on the NPS software. Its application to T-cell activation data demonstrates a greater ability to facilitate detection of nucleosome repositioning, uncovering additional biological features underlying the activation process., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Web application for exploration of macromolecular interfaces. It calculates structural and chemical properties of macromolecular surfaces and interfaces, as well as quaternary structures (assemblies), their structural and chemical properties and dissociation patterns.
Data processing software for X-ray diffraction data. autoPROC is a set of tools and programs to automate steps involved in data processing, such as image analysis, integration, indexing, and determination.
Data processing software for x-ray diffraction data. AIMLESS scales together multiple observations of reflections, and merges multiple observations into an average intensity.
Data processing software that performs X-ray diffraction data processing. It handles multi-pass, multi-wavelength data sets and supports remote access to synchrotron facilities.
Software designed to clean-up biosensor data. It can zero and crop data, align injection times, correct for DMSO effects and fit binding curves and offrates.
Software for the analysis of multi-site neuronal spike signals. SPICODYN processes electrophysiological signals, focusing on spiking and bursting dynamics and functional-effective connectivity analysis.
Dataset for performance evaluation of different approaches for detecting and tracking people by using lidar sensors. Information contained at the dataset is specially suitable to be used as training data for neural network-based classifiers.
THIS RESOURCE HAS BEEN DISCONTINUED. Documented October 3, 2017. Operational software created by Agilent Technologies to operate with its ChemStation hardware. The software can manage all parameters for instrument control, data acquisition and evaluation, including integration, quantification and reporting.
Image processing software designed to analyse functional images of cells and blood vessels, primarily from two-photon microscopy. CHIPS is a set of classes and functions for MATLAB that integrates a number of algorithms, both novel and existing, into a complete image processing pipeline.