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http://sourceforge.net/projects/vcake/

A genetic sequence assembler capable of assembling millions of small nucleotide reads even in the presence of sequencing error.

Proper citation: VCAKE (RRID:SCR_013060) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/conifer/

Uses exome sequencing data to find copy number variants (CNVs) and genotype the copy-number of duplicated genes.

Proper citation: CoNIFER (RRID:SCR_013213) Copy   

•   Source: SciCrunch Registry

http://rdxplorer.sourceforge.net/

A computational tool for copy number variants (CNV) detection in whole human genome sequence data using read depth (RD) coverage.

Proper citation: RDXplorer (RRID:SCR_013290) Copy   

•   Source: SciCrunch Registry

http://nipy.org

Community site to make brain imaging research easier that aims to build software that is clearly written, clearly explained, a good fit for the underlying ideas, and a natural home for collaboration.

Proper citation: Neuroimaging in Python (RRID:SCR_013141) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/pia2/

A prefix indexing and alignment software for next-generation sequencing (NGS) for whole human genome.

Proper citation: PIA (RRID:SCR_013267) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/mirseq/files/

An R/Bioconductor based workflow for novel miRNA prediction from deep sequencing data.

Proper citation: miRSeqNovel (RRID:SCR_013257) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/ligmap/files/

A tool for structural biology and drug design.

Proper citation: AutoMap (RRID:SCR_013095) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/dynamicprog/

A model-based statistical methods for base calling in Illumina''s next-generation sequencing platforms.

Proper citation: DynamicProg (RRID:SCR_013217) Copy   

•   Source: SciCrunch Registry

http://beads.sourceforge.net/

Software for a normalization scheme that corrects nucleotide composition bias, mappability variations and differential local DNA structural effects in deep sequencing data.

Proper citation: BEADS (RRID:SCR_013229) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/congrpe/

A de novo assembly algorithm for Next-Generation Sequencing technology.

Proper citation: CongrPE (RRID:SCR_013190) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/callsim/

A software application that provides evidence for the validity of base calls believed to be sequencing errors and it is applicable to Ion Torrent and 454 data.

Proper citation: CallSim (RRID:SCR_013192) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/sapas/

A RNA-seq method for polyA research.

Proper citation: SAPAS (RRID:SCR_013195) Copy   

•   Source: SciCrunch Registry

http://arrayoligosel.sourceforge.net/

Software program to systematically design gene specific long oligonucleotide probes for entire genomes, for the purpose of developing whole genome microarrays. For each open reading frame, the program optimizes the oligo selection based upon several parameters, including uniqueness in the genome, sequence complexity, lack of self-binding, GC content and proximity to the 3''end of the gene.

Proper citation: ArrayOligoSelector (RRID:SCR_013494) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://brainnetworks.sourceforge.net

Brain Networks: Code to perform network analysis on brain imaging data.

Proper citation: Brain Networks (RRID:SCR_005841) 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

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

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://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/apps/mediawiki/cdao/

A formalization of concepts and relations relevant to evolutionary comparative analysis, such as phylogenetic trees, OTUs (operational taxonomic units) and compared characters (including molecular characters as well as other types). CDAO is being developed by scientists in biology, evolution, and computer science

Proper citation: Comparative Data Analysis Ontology (RRID:SCR_010297) Copy   

•   Source: SciCrunch Registry