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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://sourceforge.net/projects/batman-seq/
A fast BWT-based short reads mapping tools which uses additional statistical method to model error profile of the sequencing experiment.
Proper citation: Batman-Seq (RRID:SCR_000048) Copy
http://sourceforge.net/projects/ms-spectre/
Software that provides (Quantitiave) analysis of multiple ls-ms(ms) runs, using mzXML import of raw data coming from spectrometers.
Proper citation: MS-Spectre (RRID:SCR_000266) Copy
http://sourceforge.net/projects/blastplot/
A PERL module that can quickly plot the BLAST results from short sequences (primers, probes, reads) against reference targets. This software generates PNG graphs for all of the reference sequences associated with a BLAST result set.
Proper citation: BLASTPLOT (RRID:SCR_000162) Copy
http://sourceforge.net/projects/gemsim/
A software package for generating realistic simulated next-generation genome sequencing reads with quality score values. The software is written in Python with a command-line user interface.
Proper citation: GemSIM (RRID:SCR_000167) Copy
http://proteinprophet.sourceforge.net/
Software that automatically validates protein identifications made on the basis of peptides assigned to MS/MS spectra by database search programs such as SEQUEST.
Proper citation: ProteinProphet (RRID:SCR_000286) Copy
http://ribopicker.sourceforge.net/
Software to automatically identify and efficiently remove rRNA-like sequences from metatranscriptomic and metagenomic datasets.
Proper citation: riboPicker (RRID:SCR_000360) Copy
http://parsecnv.sourceforge.net/
Software that takes CNV calls as input and creates SNP based statistics for CNV occurrence in cases and controls then calls CNVRs based on neighboring SNPs of similar significance.
Proper citation: ParseCNV (RRID:SCR_000355) Copy
http://sourceforge.net/projects/kinannote/
Software that identifies and classifies protein kinases in a user-provided fasta file using an HMM derived from serine / threonine protein kinases, a position specific scoring matrix derived from the HMM, and comparison with a local version of the curated kinase database from kinase.com.
Proper citation: Kinannote (RRID:SCR_000352) Copy
http://sourceforge.net/projects/jnomics/
A collection of cloud-scale DNA sequence analysis tools.
Proper citation: Jnomics (RRID:SCR_000348) Copy
http://sourceforge.net/projects/fqzcomp/
A basic fastq compressor, designed primarily for high performance.
Proper citation: fqzcomp (RRID:SCR_000299) Copy
http://sourceforge.net/projects/mirprimer/
Software tool for automatic design of primers for PCR amplification of microRNAs using the method miR-specific RT-qPCR (Balcells, I., Cirera, S., and Busk, P.K. (2011). Specific and sensitive quantitative RT-PCR of miRNAs with DNA primers. BMC Biotechnol. 11, 70).
Proper citation: miRprimer (RRID:SCR_000480) Copy
http://sourceforge.net/projects/pyqpcr/
A GUI application written in python that deals with quantitative PCR (QPCR) raw data. Using quantification cycle values extracted from QPCR instruments, it uses a proven and universally applicable model to give finalized quantification resu
Proper citation: pyQPCR (RRID:SCR_000471) Copy
http://drfast.sourceforge.net/
A software which maps di-base reads (SOLiD color space reads) to reference genome assemblies in a fast and memory-efficient manner.
Proper citation: drFAST (RRID:SCR_000586) Copy
A set of programs that map and assemble fixed-length Solexa/SOLiD reads in a fast and accurate way.
Proper citation: Maq (RRID:SCR_005485) Copy
http://chipexo.sourceforge.net/
A bioinformatics tool dedicated to analyze ChIP-exo data: 1) Sequencing depth normalization and nucleotide composition bias correction. 2) Signal consolidation and noise reduction. 3) Single base resolution border detection. 4) Border matching.
Proper citation: MACE (RRID:SCR_005520) Copy
http://sourceforge.net/p/treq/home/Home/
A software read mapper for high-throughput DNA sequencing reads, in particular one to several hundred nucleotides in length, and for large edit distance between sequencing read and match in the reference genome. It can cope particularly well with indels for single-best hit recall of 200nt reads simulated from the human reference genome. TreQ performs best at a running time comparable to BWA at large edit distance settings.
Proper citation: TreQ (RRID:SCR_005505) Copy
http://sourceforge.net/projects/netclassr/
An R package for network-based feature (gene) selection for biomarkers discovery via integrating biological information. The package adapts the following 5 algorithms for classifying and predicting gene expression data using prior knowledge: # average gene expression of pathway (aep); # pathway activities classification (PAC); # Hub network classification (hubc); # filter via top ranked genes (FrSVM); # network smoothed t-statistic (stSVM).
Proper citation: netClass (RRID:SCR_005672) Copy
http://tmaj.pathology.jhmi.edu/
Open-source software to support information and images related to tissue micro-arrays. It contains support for multiple organ systems, multiple users, image analysis, and is designed to be compliant with HIPPA regulations. Patients, specimens, blocks, slides, cores, images, and scores can all be stored and viewed. Features include advanced security, custom dynamic fields, and an image analysis program.
Proper citation: TMAJ (RRID:SCR_005601) Copy
http://staden.sourceforge.net/
A fully developed set of DNA sequence assembly (Gap4 and Gap5), editing and analysis tools (Spin) for Unix, Linux, MacOSX and MS Windows.
Proper citation: Staden Package (RRID:SCR_005629) Copy
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
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