Search Results for "gene"

To select miRNA target genes we developed software in MATLAB® (MathWorks®) called miRDiana that collects the union of mouse validated targets from the TargetScan, MicroCosm, mirTarBase and miRWalk 2.0 databases. Firstly, the software downloads each database and preprocesses by standardizing the miRNA and gene names. It strips the miRNA names from the species ids and converts the gene names to the official symbols of the National Center for Biotechnology Information (NCBI) database. Next, for each potential gene target it calculates an incidence matrix with all the miRNAs of each database targeting such gene. Finally, it builds a consensus matrix with the cases of the appearance of each miRNA in the four analyzed miRNA databases.

An algorithm to deconvolve the luminescence cross-talk in high-throughput gene expression profiling to recover the true luminescence activity of a microplate.

...The GENS2 tool is able to simulate gene-environment and gene-gene interactions. To make the Simulator more intuitive, the input parameters are expressed as standard epidemiological quantities. GENS2 is written in Python language and takes advantage of operators and modules provided by the simuPOP simulation environment. It can be used through a graphical or a command-line interface.

PALM is a software that conducts gene-based association analysis. PALM exploits Hidden Markov Models (HMM) to capture the inner genomic structures. Then, unique gene features (termed "palm prints") are extracted for each gene set by calculating the natural gradient. Then palm-prints are tested with chi-square significance test.

SILA is a system for automated annotation of bacterial and archaeal genomes. It provides accurate gene prediction using a combination of tools (Prodigal and HGF) and a web site for task management and visualization of annotation. This project is in alpha stage. Please use the online service available at: http://www.bioinfo.ufpr.br/SILA/login.jsp Documentation (portuguese only): http://hdl.handle.net/1884/34801

...BiRW package contains a program for analysis of circular bigraphs (CBGs) and the bi-random walk (BiRW) algorithm to capture the CBG patterns in the networks for unveiling human and mouse phenome-genome association. The processed OMIM human disease phenotype-gene association network and MGI mouse phentoype-gene association network are also released together with the source code.

SysGenSIM is a bioinformatics toolbox to create artificial gene expression datasets by simulating Systems Genetics experiments.

RIPE (Regulatory network Inference from joint Perturbation and Expression data) is a novel three-step method that integrates both perturbation data and steady state gene expression data in order to estimate a regulatory network. The ripe package is written in R, with additional functionality provided by a MATLAB executable file. The executable file uses a runtime engine called the MATLAB Compiler Runtime (MCR). The executable for different architectures is distributed on this site together with the R package itself.

This project is designed to explore cancer-related genes from gene expression data set

A user-friendly interface for running simulations of the gene networks comprising the circadian clock. Modules allow the simulation of experimental protocols with just a few mouse clicks. Users can fine-tune simulations to suit their particular interests.