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Automated Sequence Annotation Pipeline (ASAP) is designed to ease routine investigation of new functional annotations on unknown sequences, such as expressed sequence tags (ESTs), through querying of web-accessible databases.2 weekly downloads
Simulation for Physics / Bilogics Systems1 weekly downloads
Tool for analyze of interactions in ligand-protein complexes2 weekly downloads
Perl scripts used to process mock 16S data for threshholds.2 weekly downloads
Our work will focus on 3’-UTR region, using rule-based system and some datasets to extract 3’-UTR mutation information swiftly and accurately from the texts.
3D Genome Tuner draws circular genome map and enables viewing multi-genomes in 3D context. It also provides genome analysis and sequence alignment, making it a powerful tool in genome studies and demonstrations.2 weekly downloads
A 3D viewer for phylogenetic trees. Speciation events are displayed in the plane according to the species tree, while duplication events are displayed in the other dimension.
CAlib3D is a platform independent library for 3D cellular automata (CA) simulations. It is written in C++. Its advantage is in his speed and memory management.1 weekly downloads
Several RNA and protein structure volume calculation tools.18 weekly downloads
A research project aimed at creating a graphical interface that provides a spatial and temporal context in which to browse the genomic regulatory network of the sea urchin during the early stages of its embryonic development.1 weekly downloads
4-Dimensional Cell Simulator (4DiCeS) is a framework on hybrid (stochastic and deterministic) modeling and simulation of (whole) cell environments in 4D. The framework may incorporate any reaction and diffusion algorithms applicable in a 4D grid layout.1 weekly downloads
A driver for the 5DT datagloves written in pure C++ using only the STL. Meant to be cross-platform, but written on and developed for IRIX sytems.2 weekly downloads
@Note2 is now available in www.anote-project.org @Note is a Biomedical Text Mining workbench that integrates current Biomedical Text Mining (BioTM) methods and provides biologists with intuitive tools capable of supporting their bibliographic searches and further literature curation.1 weekly downloads
@Note2 - A workbench for Biomedical Text Mining4 weekly downloads
ASSD is a simple biological sample database focused on the storage of proteomics data. It tracks every processing step incl. results throughout a sample's lifetime. Next to proteomics data it can also store other results like FACS or Western Blots.
In this we realize a comparison of any novel and state of art methods for color texture analysis.
A Content Management System for collection data of taxonomic specimens. Organize your museum specimens, collection vouchers in one user-friendly database.
AAARF, written in PERL and with numerous adjustable parameters, identifies sequence overlaps in small shotgun sequence datasets and walks them out to create long pseudomolecules representing the most abundant repeats in a genome.1 weekly downloads
Algorithmic Based Automatic Contiguation of Shot-gun sequences (ABACAS) is an integrated platform for quickly contiguating reference based assemblies.
Algorithm Based Automatic Contiguation of Assembled sequences (ABACAS) is an integrated platform for quickly contiguating reference based assemblies.56 weekly downloads
A Bioinformatics Analysis Framework1 weekly downloads
ABC-SysBio implements likelihood free parameter inference and model selection in dynamical systems. It is designed to work with both stochastic and deterministic models written in Systems Biology Markup Language (SBML).10 weekly downloads
abcgrid stands for Application for Bioinformatics Computing Grid which is a client/server package for small and mid-scale biology labs.
ABE is a small, fast and convenient program for visualizing and modeling experimental bioassay data. The data can be modeled using either polynomials or a more specific four-parameter model based upon the standard, sigmoidal dose-response curve.2 weekly downloads
ACoM-c is a classification method of elementary flux modes to analyze large sets of results from metabolic networks analyzes. It allows to interpret large sets of efm, retrieve biological functions shared by groups and show links between reactions.