Open Source Unix Shell Bio-Informatics Software

The WISDOM project is a Grid based production environment used to deploy bio-informatics large scale applications.

miRPV is an Automated tool that allows users to predict and validate microRNA from genome/gene sequence. System Requirement CPU: AMD64 (64bit) Memory: 2Gb RAM Storage: 5Gb Ubuntu 18.04

HitKeeper is a database application for use in BioInformatics. It deals with "hits" (predicted features) on biological sequences (protein, DNA), handles incremental updates effectively, supports taxonomy, and provides original query tools.

HomGL is a web-based tool for comparing gene lists obtained e.g. by microarray studies. Unigene, Locus Link & Homology databases are used to compare gene lists with different accession numbers and between different organisms.

SPANDx is your one-stop tool for identifying SNP and indel variants in haploid genomes using NGS data. SPANDx performs alignment of raw NGS reads against your chosen reference genome or pan-genome, followed by accurate variant calling and annotation, and locus presence/absence determination. SPANDx produces SNP and indel matrices for downstream phylogenetic analyses. Annotated, genome-wide SNPs and indels can also be identified if specified, and are output in human readable format. A presence/absence matrix is also generated to allow you to identify the core/accessory genome content across all your genomes. The outputs generated by SPANDx can be imported into PLINK for microbial genome-wide association study (mGWAS) analyses. SPANDx can utilise PBS, SGE or SLURM for resource management. SPANDx can also run directly on the command line if no resource manager is available. For the most up-to-date version of SPANDx, check us out on GitHub: https://github.com/dsarov/SPANDx

parastructure is a perl script collection to run the population genetics software STRUCTURE from Pritchard et al. 2000 (http://pritch.bsd.uchicago.edu/structure.html) in parallel on a cluster (beowulf type). Each run of K (the number of populations) is executed separately on each CPU of the cluster trough queue system based on PBS. A summary statistics table and distruct figures (Noah Rosenberg: http://www.stanford.edu/group/rosenberglab/distruct.html) are built at the end of the run. A patch for the structure (ran.c) is also provided in order to correct the generation of the seed number.

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

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.

Fast Neurite Tracer (FNT) is a tool for semi-automated neurite tracing. FNT can handle big imaging data such as fMOST data. It can also process other types of light imaging data in general. FNT is designed to be * accurate in tracing (each tracing step needs your confirmation), * fast (operations using computer mouse is reduced with automatic searching), * scalable (large volume data of tera-bytes in size are supported). Other features include * the results can be exported to SWC files, * automatic detection of cycles during tracing, * support for data of multiple channels, * support for both 8-bit and 16-bit image data.

A Folding@Home integrated monitoring environment, designed for Linux, *nix systems and Windows, which is intended to be easy-to-use and provide a flexible, customiseable and "user-friendly" environment for reviewing the status of active F@H clients.

The High Throughput Sequence Analysis Pipeline uses freely available bioinformatics tools from NCBI, Phylip, EMBOSS and clustalw to identify and group closely related DNA samples. It can be run on *Nix systems linearly or in parallel using the SGE.

LBXR - LOAD BLAST XML RESULTS O sistema permite que sejam importados resultados obtidos por meio de pesquisas de similaridade a partir do BLAST, com resultados gerado no formato XML para o banco de dados relacional MariaDB ou MySQL.

Here we present an image-based Multi Channel Classification and Clustering System (MCCCS). It is an generalized, script-based classification system for processing various kinds of image data. Due to the modular design, individual processing-components can be easily adapted, extended or exchanged by own extensions. See project website for installation instructions.

To get access to the code, please check it out with svn as described in the code section.

QUASI is a toolkit to rapidly assess the quality of shRNA-Seq based data and call differential abundance using common statistical inference methods (DESeq, edgeR, baySeq).

SIPeS - Site Identification from Paired-end Sequencing

This is an approach that complements previous methods for reliable homozygous structural variation identification. Our approach accurately determines genotype and breakpoints relative to a reference genome based on de novo assembly of Illumina Genome Analyzer sequencing data. In this method, we examined only homozygous structural variations because detecting heterozygous structural variations requires assembly of haplotype sequences, which is not yet possible using existing assemblers.

An SQL handler to interface multiple databases data to the OpeNDAP Hyrax (BES) server. Written in C++, it uses unixODBC to query DB and can be dynamically extended to use proprietary ODBC API driver in many easy ways. It is bundled with scripts to ge

TreeBASE is a database and web front end that stores phylogenetic trees and the data matrices used to generate them. The current iteration comprises a complete rewrite of the schema and web layer, and will include a web services layer.

The active use repository has migrated over to: https://github.com/darrenabbey/ymap The repository here was errantly created with some large binary files included. Attempts to extract the files from the history here have failed. A copy of the history was successfully scrubbed and then hosted at github. -------- Eukaryotic pathogens have complicated and dynamic genomes. To facilitate analysis of copy number variations (CNV), single nucleotide polymorphisms (SNPs), and loss of heterozygosity (LOH) events in Candida albicans, the most common human fungal pathogen, we developed a pipeline for analyzing diverse genome-scale datasets from microarray, deep sequencing, and restriction site associated DNA sequence experiments for clinical and laboratory strains. The YMAP pipeline automatically illustrates genome-wide information in a single intuitive figure and is readily modified for the analysis of other categories of data and other pathogen species with small genomes.

cnvOffSeq is a set of Java-based command-line tools for detecting and genotyping intergenic copy number variation (CNV) using off-target data from whole-exome sequencing experiments.

This collection of tools forms the basis of a pipeline for the complete enumeration of the number of solutions present in a model that maximizes a single objective function.