We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Software package implementing various statistical procedures used in psychometry.
Data Analysis GUI for R. The program is based on Java's Swing GUI library and includes an Excel-like spreadsheet for easy data viewing and editing.
Software package that performs backward selection of fixed effects, forward fitting of the random effects, and post-hoc analysis using parallel capabilities. Other functionality includes the computation of ANOVAs with upper- or lower-bound p-values and R-squared values for each model term, model criticism plots, data trimming on model residuals, and data visualization.
Software package that contains miscellaneous functions useful in biostatistics, such as univariate and multivariate testing procedures with a special emphasis on permutation tests. Many functions shorten existing procedures and implement plotting functions that can be used with a variety of methods and packages.
Source code of statistical tests for linear mixed effects models as implemented in lme4. The package also provides the calculation of population means for fixed factors with confidence intervals and corresponding plots.
Software to fit and compare Gaussian linear and nonlinear mixed-effects models.
Software R package. Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue."
Software for structure refinement.
Software for x-ray detection and processing single-crystal monochromatic diffraction data recorded by the rotation method. XDS can process data images from CCD-, imaging-plate-, multiwire-, and pixel-detectors in a variety of formats.
Simulation software tool that performs comprehensive predictive science application for for small molecules.
Portal for platforms available to conduct and compete in challenges aiming to improve scientific progress. Challenges allow researchers to share their research and problems with other subject matter experts for collaborative progress.
Source code for a soma segmentation method suitable for datasets with touching soma distributions. The method contains three main parts: soma detection based on DT and local maximum searching and refining; an improved Rayburst sampling algorithm for isolated and touching soma surface detection; and ellipsoid fitting to generate the segmentation results.
Software toolkit for small-angle scattering data analysis from biological macromolecules.
Software that translates nucleic acid sequences to their corresponding peptide sequences. It can translate to the three forward and three reverse frames, and output multiple frame translations at once.
Software that performs peptide identification by scoring MS/MS spectra against peptides derived from a protein sequence database.
Software tool that can match tandem mass spectra with peptide sequences, in process known as protein identification. Database search engine for matching tandem mass spectra with protein sequences. Command line tool for matching tandem mass spectra with peptide sequences.
Web application for prediction of the presence and location of signal peptide cleavage sites in amino acid sequences from different organisms. The method incorporates a prediction of cleavage sites and a signal peptide/non-signal peptide prediction based on a combination of several artificial neural networks.
Web application for combined transmembrane topology and signal peptide prediction. Used for whole genome annotation of signal peptides and transmembrane regions. Predictor is based on hidden Markov model (HMM) that models different sequence regions of signal peptide and different regions of transmembrane protein in series of interconnected states.
Simulation software that runs network simulations where the network is specified in its own format called SystemML. The components of the network can be implemented in C, C++, Python or Matlab and are used in SpineML_2_BRAHMS to provide a simulation back-end for SpineML models.
Declarative XML based model description language for large scale neural network models. Its syntax is designed primarily for the specification of large scale networks of point neurons but also has the flexibility to describe biologically constrained models consisting of non standard components (such as gap junctions).