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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://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://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://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/bait/
Software to create strand inheritance plots in data derived from the Strand-Seq sequencing protocol. The software is designed to be flexible with a range of species, and basic template folders can called to read in species-specific data.
Proper citation: BAIT (RRID:SCR_000511) 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
https://sourceforge.net/projects/popbam/
A tool to perform evolutionary or population-based analyses of next-generation sequencing data. POPBAM takes a BAM file as its input and can compute many widely used evolutionary genetics measures in sliding windows across a genome.
Proper citation: POPBAM (RRID:SCR_000464) 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
http://ergatis.sourceforge.net/
A web interface and scalable software system for bioinformatics workflows that is used to create, run, and monitor reusable computational analysis pipelines. It contains pre-built components for common bioinformatics analysis tasks. These components can be arranged graphically to form highly-configurable pipelines. Each analysis component supports multiple output formats, including the Bioinformatic Sequence Markup Language (BSML). The current implementation includes support for data loading into project databases following the CHADO schema, a highly normalized, community-supported schema for storage of biological annotation data. Ergatis uses the Workflow engine to process its work on a compute grid. Workflow provides an XML language and processing engine for specifying the steps of a computational pipeline. It provides detailed execution status and logging for process auditing, facilitates error recovery from point of failure, and is highly scalable with support for distributed computing environments. The XML format employed enables commands to be run serially, in parallel, and in any combination or nesting level.
Proper citation: Ergatis (RRID:SCR_005377) Copy
http://sourceforge.net/projects/molbiolib/
A compact, portable, and extensively tested C++11 software framework and set of applications tailored to the demands of next-generation sequencing data and applicable to many other applications. It is designed to work with common file formats and data types used both in genomic analysis and general data analysis. A central relational-database-like Table class is a flexible and powerful object to intuitively represent and work with a wide variety of tabular datasets, ranging from alignment data to annotations. MolBioLib includes programs to perform a wide variety of analysis tasks such as computing read coverage, annotating genomic intervals, and novel peak calling with a wavelet algorithm. This package assumes fluency in both UNIX and C++.
Proper citation: MolBioLib (RRID:SCR_005372) Copy
http://splitread.sourceforge.net/
Software for detecting INDELs (small insertions and deletion with size less than 50bp) as well as large deletions that are within the coding regions from the exome sequencing data. It also can be applied to the whole genome sequencing data.
Proper citation: SPLITREAD (RRID:SCR_005264) Copy
Database that unites independently created and maintained data collections of transcription factor and regulatory sequence annotation. The flexible PAZAR schema permits the representation of diverse information derived from experiments ranging from biochemical protein-DNA binding to cellular reporter gene assays. Data collections can be made available to the public, or restricted to specific system users. The data ''boutiques'' within the shopping-mall-inspired system facilitate the analysis of genomics data and the creation of predictive models of gene regulation., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: PAZAR (RRID:SCR_005410) 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://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
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