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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.

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On page 75 showing 1481 ~ 1500 out of 2,279 results
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  • RRID:SCR_006849

    This resource has 1000+ mentions.

https://varscan.sourceforge.net/

Platform-independent, technology-independent software tool for identifying SNPs and indels in massively parallel sequencing of individual and pooled samples. Given data for a single sample, VarScan identifies and filters germline variants based on read counts, base quality, and allele frequency. Given data for a tumor-normal pair, VarScan also determines the somatic status of each variant (Germline, Somatic, or LOH) by comparing read counts between samples. (entry from Genetic Analysis Software).

Proper citation: VarScan (RRID:SCR_006849) Copy   


  • RRID:SCR_005789

    This resource has 1+ mentions.

http://systemsbio.ucsd.edu/GoSurfer/

GoSurfer uses Gene Ontology (GO) information to analyze gene sets obtained from genome-wide computations or microarray analyses. GoSurfer is a graphical interactive data mining tool. It associates user input genes with GO terms and visualizes such GO terms as a hierarchical tree. Users can manipulate the tree output by various means, like setting heuristic thresholds or using statistical tests. Significantly important GO terms resulted from a statistical test can be highlighted. All related information are exportable either as texts or as graphics. Platform: Windows compatible

Proper citation: GoSurfer (RRID:SCR_005789) Copy   


  • RRID:SCR_007010

    This resource has 10+ mentions.

http://droog.gs.washington.edu/ldSelect.html

Software program that analyzes patterns of linkage disequilibrium (LD) between polymorphic sites in a locus, and bins the SNPs on the basis of a threshold level of LD as measured by r2. (entry from Genetic Analysis Software), THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: LDSELECT (RRID:SCR_007010) Copy   


  • RRID:SCR_002873

    This resource has 500+ mentions.

http://www.ncbi.nlm.nih.gov/igblast/

THIS RESOURCE IS NO LONGER IN SERVICE.Documented on January 4,2023. IgBLAST was developed at NCBI to facilitate analysis of immunoglobulin V region sequences in GenBank. In addition to performing a regular BLAST search, IgBLAST has several additional functions: - Reports the germline V, D and J gene matches to the query sequence. - Annotates the immunoglobulin domains (FWR1 through FWR3). - Matches the returned hits (for databases other than germline genes) to the closest germline V genes, making it easier to identify related sequences. - Reveals the V(D)J junction details such as nucleotide homology between the ends of V(D)J segments and N nucleotide insertions. D and J gene reporting is only for nucleotide sequence search and requires a stretch of five or more nucleotide identity between the query and D or J genes. Sponsors: This resource is supported by the National Center for Biotechnology Information, a division of the U.S. National Library of Medicine.

Proper citation: IgBLAST (RRID:SCR_002873) Copy   


http://www.bioinfo.no/tools/bomp

BOMP is a tool for prediction of beta-barrel integral outer membrane proteins. The user may submit a list of proteins, and receive a list of predicted BOMPs. The program, called the beta-barrel Outer Membrane protein Predictor (BOMP), is based on two separate components to recognize integral beta-barrel proteins. The first component is a C-terminal pattern typical of many integral beta-barrel proteins. The second component calculates an integral beta-barrel score of the sequence based on the extent to which the sequence contains stretches of amino acids typical of transmembrane -strands. To use the BOMP tool simply paste your fasta-formatted sequences into the text area, or choose a file which contains sequences. Then hit the submit button. It is possible to perform a BLAST search parallel with the predictions, which may be suitable in some cases. Using the BLAST search will however increase the running time substantially. Sponsors: This work was supported in part by grants from the Norwegian Research Council [SUP 140785/420 (GABI); FUGE/CBU151899/ISO], and the Meltzer Foundation, University of Bergen. Keywords: Beta-barrel, Membrane, Protein, Program, Software, Beta strand, Bacteria,

Proper citation: BOMP: beta-barrel Outer Membrane protein Predictor (RRID:SCR_007268) Copy   


  • RRID:SCR_009041

    This resource has 1+ mentions.

http://mga.bionet.nsc.ru/soft/index.html

Software application that allows drawing pedigrees with a difficult structure, those containing consanguinity loops, and those individuals with multiple mates or several related families (entry from Genetic Analysis Software)

Proper citation: PEDIGREEQUERY (RRID:SCR_009041) Copy   


  • RRID:SCR_008664

    This resource has 10+ mentions.

http://watson.hgen.pitt.edu/register/soft_doc.html

Software application that is a faster version of SLINK (entry from Genetic Analysis Software)

Proper citation: FASTSLINK (RRID:SCR_008664) Copy   


  • RRID:SCR_008436

http://mga.bionet.nsc.ru/soft/pedpeel/

Software program that prepares pedigree data for calculation of Elston-Stewarts'' likelihood function. It finds an optimal way to peel a pedigree and returns text file containing 7 description arrays (entry from Genetic Analysis Software)

Proper citation: PEDPEEL (RRID:SCR_008436) Copy   


  • RRID:SCR_009035

    This resource has 10+ mentions.

http://www.homepages.ed.ac.uk/pmckeigu/admixmap/index.html

General-purpose program for modelling admixture, using marker genotypes and trait data on a sample of individuals from an admixed population (such as African-Americans), where the markers have been chosen to have extreme differentials in allele frequencies between two or more of the ancestral populations between which admixture has occurred. The main difference between ADMIXMAP and classical programs for estimation of admixture such as ADMIX is that ADMIXMAP is based on a multilevel model for the distribution of individual admixture in the population and the stochastic variation of ancestry on hybrid chromosomes. This makes it possible to model the associations of ancestry between linked marker loci, and the association of a trait with individual admixture or with ancestry at a linked marker locus. (entry from Genetic Analysis Software)

Proper citation: ADMIXMAP (RRID:SCR_009035) Copy   


  • RRID:SCR_009092

https://github.com/gaow/genetic-analysis-software/blob/master/pages/MOSCPHASER.md

THIS RESOURCE IS NO LONGER IN SERVICE, documented September 29, 2016. Software application for inferring haplotypes composed of both CNV alleles and SNP alleles.

Proper citation: MOSCPHASER (RRID:SCR_009092) Copy   


  • RRID:SCR_009211

    This resource has 10+ mentions.

https://github.com/gaow/genetic-analysis-software/blob/master/pages/GLUE.md

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 6, 2016. A web interface to several commonly used statistical genetics programs, including Linkage, Genehunter, Merlin, Unphased, and Transmit. It simplifies their use through graphical selection of program options, automation of multiple analyses, and viewing of graphical output. GLUE is available to HGMP account holders; registration is free to all academic users., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: GLUE (RRID:SCR_009211) Copy   


  • RRID:SCR_009230

http://www.well.ox.ac.uk/~mfarrall/twoloc.htm

Software package for analyzing two-locus susceptibility gene models in affected sib-pair data (entry from Genetic Analysis Software)

Proper citation: TWOLOC (RRID:SCR_009230) Copy   


  • RRID:SCR_009195

    This resource has 1+ mentions.

http://www.daimi.au.dk/~mailund/GeneRecon/

Software application for linkage disequilibrium mapping using coalescent theory. It is based on a Bayesian Markov-chain Monte Carlo (MCMC) method for fine-scale linkage-disequilibrium gene mapping using high-density marker maps. GeneRecon explicitly models the genealogy of a sample of the case chromosomes in the vicinity of a disease locus. Given case and control data in the form of genotype or haplotype information, it estimates a number of parameters, most importantly, the disease position. (entry from Genetic Analysis Software)

Proper citation: GENERECON (RRID:SCR_009195) Copy   


  • RRID:SCR_009241

    This resource has 1+ mentions.

http://statgen.ncsu.edu/zaykin/htr.html

Software application for haplotype association mapping using unrelated individuals; fixed and sliding window analysis; overall tests and tests for individual haplotype effects (entry from Genetic Analysis Software)

Proper citation: HTR (RRID:SCR_009241) Copy   


  • RRID:SCR_001211

http://cran.r-project.org/web/packages/mlgt/index.html

Software for processing and analysis of high throughput (Roche 454) sequences generated from multiple loci and multiple biological samples. Sequences are assigned to their locus and sample of origin, aligned and trimmed. Where possible, genotypes are called and variants mapped to known alleles.

Proper citation: mlgt (RRID:SCR_001211) Copy   


  • RRID:SCR_003308

    This resource has 50+ mentions.

https://github.com/gt1/biobambam

Software tools for read pair collation based algorithms on BAM files including * bamcollate2: reads BAM and writes BAM reordered such that alignment or collated by query name * bammarkduplicates: reads BAM and writes BAM with duplicate alignments marked using the BAM flags field * bammaskflags: reads BAM and writes BAM while masking (removing) bits from the flags column * bamrecompress: reads BAM and writes BAM with a defined compression setting. This tool is capable of multi-threading. * bamsort: reads BAM and writes BAM resorted by coordinates or query name * bamtofastq: reads BAM and writes FastQ; output can be collated or uncollated by query name

Proper citation: biobambam (RRID:SCR_003308) Copy   


  • RRID:SCR_000689

    This resource has 100+ mentions.

http://soap.genomics.org.cn/

Software package that provides full solution to next generation sequencing data analysis consisting of an alignment tool (SOAPaligner/soap2), a re-sequencing consensus sequence builder (SOAPsnp), an indel finder ( SOAPindel ), a structural variation scanner ( SOAPsv ), a de novo short reads assembler ( SOAPdenovo ), and a GPU-accelerated alignment tool for aligning short reads with a reference sequence. (SOAP3/GPU)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: SOAP (RRID:SCR_000689) Copy   


http://www.nitrc.org/projects/jist/

A native Java-based imaging processing environment similar to the ITK/VTK paradigm. Initially developed as an extension to MIPAV (CIT, NIH, Bethesda, MD), the JIST processing infrastructure provides automated GUI generation for application plug-ins, graphical layout tools, and command line interfaces. This repository maintains the current multi-institutional JIST development tree and is recommended for public use and extension. JIST was originally developed at IACL and MedIC (Johns Hopkins University) and is now also supported by MASI (Vanderbilt University).

Proper citation: JIST: Java Image Science Toolkit (RRID:SCR_008887) Copy   


  • RRID:SCR_006800

    This resource has 1000+ mentions.

https://github.com/najoshi/sickle

Software tool for windowed adaptive trimming for fastq files using quality. Supports quality values like Illumina, Solexa, and Sanger. Takes the quality values and slides a window across them whose length is 0.1 times the length of the read.

Proper citation: Sickle (RRID:SCR_006800) Copy   


  • RRID:SCR_007180

    This resource has 50+ mentions.

http://www.biojava.org

Project dedicated to providing Java framework for processing biological data. It provides analytical and statistical routines, parsers for common file formats and allows the manipulation of sequences and 3D structures. The goal of the biojava project is to facilitate rapid application development for bioinformatics. Sponsor: BioJava is not formally funded by any grants. Through the OBF they have received sponsorship from Sun Microsystems, Apple Computers and NESCent. The initial development of the phylogenetics module was undertaken as a Google Summer of Code 2007 project in collaboration with NESCent.

Proper citation: BioJava Project (RRID:SCR_007180) Copy   



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