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http://snp-magma.sourceforge.net
Software that utilizes a multiobjective evolutionary algorithm for genetic mapping. It is based on a the ECJ evolutionary software package written by Sean Luke and includes the Strength Pareto Evoluationary Algorithm Version 2 changes for multiobjective analysis. The code runs on any platform with Java Version 2. A genetic mapping project, typically implemented during a search for genes responsible for a disease, requires the acquisition of a set of data from each of a large number of individuals. This data set includes the values of multiple genetic markers. These genetic markers occur at discrete positions along the genome, which is a collection of one or more linear chromosomes. Typing the value of a marker in an individual carries a cost; one seeks to minimize the number of markers typed without excessively jeopardizing the probability of detecting an association between a marker and a disease phenotype. MAGMA is a project which employ''s a multiobjective evolutionary algorithm to solve this problem.
Proper citation: MAGMA (RRID:SCR_005757) Copy
http://brainnetworks.sourceforge.net
Brain Networks: Code to perform network analysis on brain imaging data.
Proper citation: Brain Networks (RRID:SCR_005841) Copy
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
http://sourceforge.net/projects/polgui/
An interface between MATLAB and the Polhemus Fastrak digitizer used to digitize fiducial locations and scalp EEG electrode locations. There are 5 versions all of which work under MATLAB R14 (on both linux and windows platforms), # polgui_ver1_r14 : works with 1 receiver (stylus pen) # polgui_ver2_r14 : works with 2 receivers (including the pen) # polgui_ver3_r14 : works with 3 receivers(including the pen) # polgui_ver4_r14 : works with 4 receivers (including the pen) # polgui_ver5_r14 : Generic version which works with 1/2/3/4 receivers (WARNING: Ver 5 might be buggy; not fully tested) Requirements: MATLAB R14 (Linux/Windows)
Proper citation: POLGUI - Matlab Polhemus Interface (RRID:SCR_006752) Copy
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
http://sourceforge.net/projects/mubiomics/
A set of scripts (mostly python) for processing reads generated by the Roche 454 or Illumina next-gen sequencing platforms. Included are quality control, read demultiplexing and microbiome characterisation scripts for use with usearch, pplacer and RDP classifier.
Proper citation: mubiomics (RRID:SCR_006785) Copy
http://sourceforge.net/projects/qudaich/
A software package for local sequence alignment for next-generation sequencing (NGS) data. It generates the pairwise local alignments between a query dataset against a database. The main design purpose of qudaich is to focus on datasets from next generation sequencing. These the datasets generally have hundreds of thousand sequences or more, and so, the input database should contain large number of sequences. Qudaich is flexible and its algorithmic structure imposes no restriction on the absolute limit of the acceptable read length, but the current version of qudaich allow read length <2000 bp. Qudaich can be used to align DNA, translated DNA and protein sequences.
Proper citation: Qudaich (RRID:SCR_006775) Copy
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
http://sourceforge.net/projects/gbsbarcode/
PERL script used to split barcode of Illumina sequencing data created by GBS protocol (www.maizegenetics.net). The barcode has variable size. Paired-end reads are supported.
Proper citation: GBS barcode splitter (RRID:SCR_006799) Copy
http://sourceforge.net/projects/bamstats/
A GUI desktop tool for calculating and displaying metrics to assess the success of Next Generation Sequencing mapping tools. BAMstats is written in Java and based around the Picard API.
Proper citation: BAMStats (RRID:SCR_006973) Copy
http://seqbarracuda.sourceforge.net/
A sequence mapping software that utilizes the massive parallelism of graphics processing units to accelerate the inexact alignment of short sequence reads to a particular location on a reference genome. It can align a paired-end library containing 14 million pairs of 76bp reads to the Human genome in about 27 minutes (from fastq files to SAM alignment) using a ��380 NVIDIA Geforce GTX 680*. The alignment throughput can be boosted further by using multiple GPUs (up to 8) at the same time. Being based on BWA (http://bio-bwa.sf.net) from the Sanger Institute, BarraCUDA delivers a high level of alignment fidelity and is comparable to other mainstream alignment programs. It can perform gapped alignment with gap extensions, in order to minimise the number of false variant calls in re-sequencing studies.
Proper citation: BarraCUDA (RRID:SCR_006881) Copy
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
http://sourceforge.net/projects/taipan/
A fast hybrid short-read assembly tool.
Proper citation: Taipan (RRID:SCR_007330) Copy
http://genotan.sourceforge.net/
A free software tool to identify length variation of microsatellites from short sequence reads.
Proper citation: GenoTan (RRID:SCR_007935) Copy
A cross-platform (Windows/Mac/Unix) application that can display circular comparisons between a large number of genomes, with a focus on handling genome assembly data.
Proper citation: BRIG (RRID:SCR_007802) Copy
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
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
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
http://sourceforge.net/projects/splicegrapher/
Software that predicts alternative splicing patterns and produces splice graphs that capture in a single structure the ways a gene''s exons may be assembled. It enhances gene models using evidence from next-generation sequencing and EST alignments.
Proper citation: SpliceGrapher (RRID:SCR_006657) Copy
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
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