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http://purl.bioontology.org/ontology/MMO

An ontology designed to represent the variety of methods used to make qualitative and quantitative clinical and phenotype measurements both in the clinic and with model organisms.

Proper citation: Measurement Method Ontology (RRID:SCR_003373) Copy   

•   Source: SciCrunch Registry

http://www.mindtouch.com/

A web based social authoring and publishing environment that adheres to open standards and RESTful design principals. It provides wiki-like ease of use with a sophisticated web services framework for rapid application development, creating flexible workflows and rapid integration. MindTouch creates a vibrant real-time information fabric by federating content from across enterprise silos, such as CRM, ERP, file servers, email, databases, web services and more.

Proper citation: Mindtouch DekiWiki (RRID:SCR_003425) Copy   

•   Source: SciCrunch Registry

http://www.evoio.org/wiki/MIAPA

Central hub for resources related to developing and deploying a Minimal Information for a Phylogenetic Analysis (MIAPA) standard.

Proper citation: MIAPA (RRID:SCR_003777) Copy   

•   Source: SciCrunch Registry

http://geneontology.svn.sourceforge.net/viewvc/geneontology/go-moose/

go-moose is intended as a replacement for the aging go-perl and go-db-perl Perl libraries. It is written using the object oriented Moose libraries. It can be used for performing a number of analyses on GO data, including the remapping of GO annotations to a selected subset of GO terms. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

Proper citation: go-moose (RRID:SCR_005666) Copy   

•   Source: SciCrunch Registry

http://estscan.sourceforge.net/

ESTScan is a program that can detect coding regions in DNA sequences, even if they are of low quality. ESTScan will also detect and correct sequencing errors that lead to frameshifts. ESTScan is not a gene prediction program , nor is it an open reading frame detector. In fact, its strength lies in the fact that it does not require an open reading frame to detect a coding region. As a result, the program may miss a few translated amino acids at either the N or the C terminus, but will detect coding regions with high selectivity and sensitivity. ESTScan takes advantages of the bias in hexanucleotide usage found in coding regions relative to non-coding regions. This bias is formalized as an inhomogeneous 3-periodic fifth-order Hidden Markov Model (HMM). Additionally, the HMM of ESTScan has been extended to allows insertions and deletions when these improve the coding region statistics.

Proper citation: ESTScan (RRID:SCR_005742) Copy   

•   Source: SciCrunch Registry

https://compbio.dfci.harvard.edu/predictivenetworks//

A flexible, open-source, web-based application and data services framework that enables the integration, navigation, visualization and analysis of gene interaction networks. The primary goal of PN is to allow biomedical researchers to evaluate experimentally derived gene lists in the context of large-scale gene interaction networks. The PN analytical pipeline involves two key steps. The first is the collection of a comprehensive set of known gene interactions derived from a variety of publicly available sources. The second is to use these ''known'' interactions together with gene expression data to infer robust gene networks. The regression-based network inference algorithm creates a graph of gene interactions in which cycles may be present (but no self-loops). Based on information-theoretic techniques, a causal gene interaction network is inferred from both prior knowledge (interactions extracted from biomedical literature and structured biological databases) and gene expression data. A prediction model is fitted for each gene, given its parents, enabling assessment of the predictive ability of the network model.

Proper citation: Predictive Networks (RRID:SCR_006110) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/bless-ec/

Software tool for Bloom-filter-based error correction for next-generation sequencing (NGS) reads. The algorithm produces accurate correction results with much less memory.

Proper citation: BLESS (RRID:SCR_005963) Copy   

•   Source: SciCrunch Registry

http://buridan.sourceforge.net/

Open source software written in R that tracks a single animal walking in a homogenous environment (Buritrack) and analyzes its trajectory. It extracts eleven metrics and includes correlation analyses and a Principal Components Analysis (PCA). It was designed to be easily customized to personal requirements. In combination with inexpensive hardware, these tools can readily be used for teaching and research purposes. Buritrack is a program to track individual Drosophila fruit flies online with any camera as they walk in Buridan's paradigm. The program extracts the coordinate locations of the fly and stores them in a text file.

Proper citation: Centroid Trajectory Analysis (RRID:SCR_006331) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/p/fastsemsim/home/Home/

A package that implements several semantic similarity measures. It is both a library and an end-user application, featuring an intuitive graphical user interface (GUI). It has been implemented with the aim of being fast, expandable, and easy to use. It allows the user to work with the most updated version of GO database and customizable annotation corpora. It provides a set of logically-organized classes that can be easily exploited to both integrate semantic similarity into different analysis pipelines and extend the library with new measures. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

Proper citation: FastSemSim (RRID:SCR_006919) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/bmdexpress/

Bioinformatics tool used to analyze microarray dose-response data. The analysis provides benchmark dose estimates at which different cellular processes are altered in toxicogenomic experiments.

Proper citation: BMDExpress (RRID:SCR_006823) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/aeo/

AEO represents the Adverse Event Ontology, a community-driven ontology developed to standardize and integrate data on biomedical adverse events (e.g., vaccine adverse events) and support computer-assisted reasoning. The AEO also can be found in BioPortal, http://bioportal.bioontology.org/ontologies/45534?p=terms

Proper citation: Adverse Event Ontology (RRID:SCR_006807) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/mutascope/

Software suite to analyze data from high throughput sequencing of PCR amplicons, with an emphasis on normal-tumor comparison for the accurate and sensitive identification of low prevalence mutations.

Proper citation: Mutascope (RRID:SCR_001265) Copy   

•   Source: SciCrunch Registry

http://mugsy.sourceforge.net/

Software resource for multiple whole genome alignment. It uses Nucmer, a custom graph-based segmentation procedure, for pairwise alignment, and the Seqan:TCoffee's multiple alignment strategy.

Proper citation: Mugsy (RRID:SCR_001414) Copy   

•   Source: SciCrunch Registry

https://sourceforge.net/p/obo/mailman/message/59165700/

A structured controlled vocabulary of the anatomy of Drosophila melanogaster. These ontologies are query-able reference sources for information on Drosophila anatomy and developmental stages. They also provide controlled vocabularies for use in annotation and classification of data related to Drosophila anatomy, such as gene expression, phenotype and images. They were originally developed by FlyBase, who continue to maintain them and have used them for over 200,000 annotations of phenotypes and expression. Extensive use of synonyms means that, given a suitably sophisticated autocomplete, users can find relevant content by searching with almost any anatomical term they find in the literature. These ontologies are developed in the web ontology language OWL2. Their extensive formalization in OWL can be used to drive sophisticated query systems.

Proper citation: Drosophila anatomy and development ontologies (RRID:SCR_001607) Copy   

•   Source: SciCrunch Registry

http://scralyze.sourceforge.net

A powerful software for model-based analysis of peripheral psychophysiology (e.g. skin conductance, heart rate, pupil size etc.). General linear modelling and dynamic causal modelling of these signals provide for inference on neural states/processes. SCRalyze includes flexible data import and display, statistical inference and results display and export. Easy programming of add-ons for new data formats, signal channels, and models.

Proper citation: SCRalyze (RRID:SCR_002542) Copy   

•   Source: SciCrunch Registry

https://github.com/gbook/nidb

Neuroimaging database designed to allow simple importing, searching, and sharing of imaging data. NIDB also provides automated pipelining with importing of results back into NIDB which can be searched along with imaging meta data.

Proper citation: NIDB - Neuroinformatics Database (RRID:SCR_002488) Copy   

•   Source: SciCrunch Registry

http://andestools.sourceforge.net/

Software library and a suite of applications, written in Perl and R, for deep sequencing statistical analyses.

Proper citation: ANDES (RRID:SCR_002791) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/bio-rainbow/

Software developed to provide an ultra-fast and memory-efficient solution to clustering and assembling short reads produced by RAD-seq.

Proper citation: Rainbow (RRID:SCR_002724) Copy   

•   Source: SciCrunch Registry

http://srf.sourceforge.net/

A generic format for DNA sequence data. The primary motivation for creating SRF has been to enable a single format capable of storing data generated by any DNA sequencing technology.

Proper citation: Sequence Read Format (RRID:SCR_000132) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/gmato/files/?source=navbar

A software tool used for simple sequence repeats (SSR) or microsatellite characterization. It also facilitates SSR marker design on a genomic scale, microsatellite mining at any length, and comprehensive statistical analysis for DNA sequences in any genome at any size. Analysis parameters are customizable.

Proper citation: GMATo (RRID:SCR_000165) Copy   

•   Source: SciCrunch Registry