Open Source Java Bio-Informatics Software - Page 29

A suite of tools for discovering and genotyping genome structural variation from sequencing data, including the Genome STRiP algorithm.

Structure is a framework for two-dimensional molecular visualization written in Java and based on Octet.

SuRankCo is a machine learning based software to score and rank contigs from de novo assemblies of next generation sequencing data. It trains with alignments of contigs with known reference genomes and predicts scores and ranking for contigs which have no related reference genome yet. For more details about SuRankCo and its functioning, please see "SuRankCo: Supervised Ranking of Contigs in de novo Assemblies" Mathias Kuhring, Piotr Wojtek Dabrowski, Andreas Nitsche and Bernhard Y. Renard (http://www.biomedcentral.com/1471-2105/16/240/abstract) PLEASE NOTE, it is recommended to read the paper and the readme.txt file before using SuRankCo. Update Jun2015: * Minor changes to enable BAM support. Update Feb2014: * Added support for FASTA/SAM assemblies in addition to ACE/FASTQ(QUAL). NOTE: features of FASTA/SAM assemblies do not include BaseCount, BaseSeqmentCount and ContigQualities yet.

The plugin allows automatic highlighting of pathways in an easy and understandable manner.

Surviving bots is continuous software application in Java that will guide robots to search for energy source around it, tap it and explore ahead for survival and thus evolve into much more advance system.Software is ment to be hardware independent.

The objective of this project is to provide an innovative tool for visualization of multiples genomes. Written in Java, it presents a simple and intuitive user interface to view and manipulate the relationships between groups of genes.

This project has moved to http://code.google.com/p/synthetic/

The Systems Biology Format Converter (SBFC) is a Java generic framework aiming to translate any systems biology model format into another. The SBFC Web Site providing detailed feature description and instructions for installing, using and developing new modules is: http://sbfc.sourceforge.net/ . Currently, SBFC allows the user to convert SBML models into the formats: BioPax, Matlab, Octave, XPP, DOT, and SBGN. Due to its modular design fast development and addition of new converters is highly facilitated. SBFC can be executed in two modes: 1. standalone executable downloading the package provided in this website; 2. web-service at http://www.ebi.ac.uk/biomodels/tools/converters . For general discussion about SBFC, please use the forum sbfc-forum@googlegroups.com . A mailing-list is also available for developers: sbfc-devel@googlegroups.com Thanks for using SBFC! The SBFC Team

The Systems Biology Ontology project (SBO) goal is to develop controlled vocabularies and ontologies tailored specifically for the kinds of problems being faced in Systems Biology, especially in the context of computational modeling. !!!! Important Announcement !!!! We have moved the curation and development of Systems Biology Ontology (SBO) to a git-hub repository https://github.com/EBI-BioModels/SBO. Hence, this SourceForge SBO project has also been retired. Please use the Git-Hub issue tracker https://github.com/EBI-BioModels/SBO/issues to request the addition of new terms.

This project has been moved to https://github.com/draeger-lab/SBSCL.

This site hosts the source code for C++ version of the Broker for SBW, NOM module, advanced simulation suite, analysis applications and model editors.

GNAT is an open source, platform-independent MATLAB based toolbox. It is written in MATLAB and Java. It has been tested in Windows (Windows 7), Linux (Ubuntu), and Mac OS (X Lion) platforms. The original GNAT package (file GNAT.zip) provides functions for reading, writing, manipulation, visualization and simulation of glycan structures and glycosylation reaction networks (citation [1]). The second version of this software (GNATv2beta.zip) upgrades the original GNAT program with additional features that are geared towards incorporating glycan-structure experimental data into the simulation environment. For information about GNAT installation and usage, please see the GettingStarted.pdf file enclosed in the package. To cite GNAT: [1] Gang Liu, Apurv Puri and Sriram Neelamegham, Glycosylation Network Analysis Toolbox (GNAT): a MATLAB based environment for systems glycobiology, Bioinformatics 2013 29: 404-406

SyMBA is a Data Archive and Integrator that is based on the Functional Genomics Object Model (http://fuge.sf.net) and which archives, stores, and retrieves raw high-throughput data. See http://symba.sf.net and http://www.cisban.ac.uk

TACS (Trust Ant Colony System) is a Trust model for P2P, Ad-hoc and Wireless Sensor networks (also valid for multi-agent systems) based on the bio-inspired algorithm ACS (Ant Colony System).

A bioinformatics tool for the annotation and tag-counting of next-gen Illumina Solexa datasets. TASE works with CASAVA 1.0 builds, providing annotation, tag counts and visualization in a rapid manner.

TIRfinder: A tool for mining class II transposons

TM4 is a suite of applications for managing and analyzing microarray data. TM4 provides data storage and tracking, image analysis, normalization, data filtering, clustering and statistical analysis capabilities. Includes MADAM, Spotfinder, MIDAS, and MeV.

TRANSFOG DAS (Translational and Functional Onco-Genomics Distributed Annotation System) is an XML-based annotation system to allow the discovery and analysis of candidate genes potentially involved in cancer onset and progression.

TRMSim-WSN (Trust and Reputation Models Simulator for Wireless Sensor Networks) is a Java-based simulator aimed to test Trust and Reputation models for WSNs. It provides several Trust and Reputation models and new ones can be easily added.

For the installation instructions please see Wiki page: https://sourceforge.net/p/tuit/wiki/ IMPORTANT: since version 1.0.4.0 TUIT allows to select RDP-like formatted output to improve out of the box compatability with tools, that assume RDP-formatted input. A new field has been added to the properties.xml, please make sure to update it to contain <OutputFormat format="tuit"/> or <OutputFormat format="rdp"/> in the <BLASTNParameters> section. Read our paper in Biotechniques: http://www.ncbi.nlm.nih.gov/pubmed/24502797 Taxonomic Unit Identification Tool (TUIT) is a free open source platform-independent software, designed specifically to facilitate taxonomic annotation of nucleotide sequences via BLAST homology search against the NCBI databases. TUIT is immediately applicable for both to 16S microboime studies as well as for taxonomic classification of the nucleotide reads. Please see the project's Wiki page.

> See TVscript wiki: https://sourceforge.net/p/tvscript/wiki/Home/ Related Software: 1. CStone: https://sourceforge.net/projects/cstone/ 2. CSReadGen: https://sourceforge.net/projects/csreadgen/ 3. CView: https://sourceforge.net/projects/cview/ 4. ChimSim: https://sourceforge.net/projects/chimsim/ 5. TVScript: (See wiki) 6. SeQuester: https://sourceforge.net/projects/sequester/ 7. TreeScope: https://sourceforge.net/projects/treescope/

A library and associated applications for searching for patterns in protein structures and measuring geometric parameters.

Talisman is an interpreter for a logical markup language. This language contains the content and logic of a web (or, in the future, Java Swing) based user interface, including arbitrary datatypes and processing actions.

The TandemSearcher is a Java based application for searching for tandem repeats in the DNA sequences. It is based on the Burrows-Wheeler Transform (BWT).

Raw genomic sequences are frequently contaminated with sequences of other organism. Their identification is essential for the interpretation of genomic data. In this context it is essential to distinguish between horizontal gene transfers and contamination. The genomic context of sequences can help distinguish the two scenarios. Taxoblast splits genomic scaffolds into sub-sequences of defined length and for each of them determines the closest related taxon. It then summarizes this information for the entire scaffold, taking into account the taxonomic ontology. Scaffolds that exclusively match potential contaminants may be safely removed while sequences matching partially contaminants and partially the target organism may constitute horizontal transfers or assembly artifacts and need to be examined manually.