Search Results for "level set methods"

In addition to computing co-expression clusters, Maccu fishes potential co-expressed genes for a given bait set. All results can be further processed via graph-level operations so that we can compare graphs based on different reference data.

...Finally, it permits effective interactions with other electronic structure codes [e.g., nuclear magnetic resonance (NMR), microwave] even if Gaussian 16 offers the widest set of methods for computational spectroscopy.

...Its architecture is both extensible and flexible using data structures that are intuitive to the biologist while transparently translating these into the underlying mathematical structures. . CBMPy implements popular analyses such as FBA, FVA, element/charge balancing, network analysis and model editing as well as advanced methods developed for the ecosystem modelling. CBMPy supports user interaction via: - interactive console or as a library for advanced use - GUI, visual representation of the model, analysis methods - a SOAP based webAPI exposes high level functionality via web services

AK Toolbox is a Matlab Toolbox for co-evolution analysis for protein Multiple Sequence Alignment (MSA) distributed under Simplified BSD License. The aim of AK toolbox is to provide a set of Matlab functions, which are independent of Matlab Bioinforamtics Toolbox, for coevolution anaylsis for MSA. At present, co-evolution methods available in this package are Statistical Coupling Analysis (SCA), Explicit Likelihood of Subset Covariance (ELSC), Mutual Information (MI), Observed Minus Expected Square method (OMES), McLanhlan Based Substitution Correlation (MCBASC), Direct-coupling analysis (DCA) and logR. ...

A Mass Difference Calculator with a graph for MassLynx. Bring in a text file with reference masses and then paste in or browse in another file with a list of mass/intensity pairs. Then look at the best matching points and see what the difference between reference and data comes out as. This is a companion app to ResCalc3

The NAIL (Network Analysis and Inference Library) project is a set of tools for solving problems in the life sciences using network (graph) approaches. NAIL includes methods for creating networks, analysing and comparing networks, and for visualising or presenting the results. These methods are designed as self-contained platform-independent components which can be called either from another program, or from a command line.

GENESIS (GEneral NEural SImulation System) is a software platform for the simulation of neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, large networks, and systems-level processes.

This project is an implementation of an algorithm by J. Keijsper and R. Pendavingh. The goal of the algorithm is to construct a phylogenetic level-1-network that is consistent with a given set of quartets.

LiverSegm has been developed with the processing of liver images in mind. This software implements a level set based variational approach that incorporates shape priors and appearance models. It uses ITK Snap as interface.

BIL++ is a set of standalone C++ packages for data processing in Bioinformatics (Graph mining, Bayesian networks, Genetic algorithm, Discretization, Gene expression data analysis, Hypothesis testing).

BigBang/Horizon is a proteomics data analysis pipeline with focus on the shotgun LC/MSMS workflow.

Implematation of robust depth-based inference tools for microarray data (a scale curve, to measure the dispersion of a set of curves, a rank test to decide if two groups of curves come from the same population, and classification techniques).

trimAl can consider several parameters, alone or in multiple combinations, in order to select the most-reliable positions in the alignment. These include the proportion of sequences with a gap, the level of residue similarity and, if several alignments for the same set of sequences are provided, the consistency level of columns among alignments. Moreover, trimAl allows to manually select a set of columns and sequences to be removed from the alignment. trimAl implements a series of automated algorithms that trim the alignment searching for optimum thresholds based on inherent characteristics of the input alignment, to be used so that the signal-to-noise ratio after alignment trimming phase is increased. ...