Searching the RRID Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

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.

Search

Type in a keyword to search

On page 37 showing 721 ~ 740 out of 828 results
Snippet view Table view Download 828 Result(s)
Click the to add this resource to a Collection
  • RRID:SCR_001827

    This resource has 10+ mentions.

http://www.sanger.ac.uk/science/tools/dindel

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 7,2024. Software program for calling small indels from short-read sequence data ("next generation sequence data"). It is currently designed to handle only Illumina data. Dindel takes BAM files with mapped Illumina read data and enables researchers to detect small indels and produce a VCF file of all the variant calls. It has been written in C++ and can be used on Linux-based and Mac computers (it has not been tested on Windows operating systems).

Proper citation: DINDEL (RRID:SCR_001827) Copy   


  • RRID:SCR_001938

    This resource has 10+ mentions.

http://animalgene.umn.edu/pedigraph/

A pedigree visualization program specifically designed to draw large, complex pedigrees. (entry from Genetic Analysis Software) Options include: * Full pedigree * Summarization * Extraction of individual pedigrees * Inbreeding calculation * Coancestry coefficient calculation * Color control * Drawing size * Page size and margins * Drawing styles

Proper citation: PEDIGRAPH (RRID:SCR_001938) Copy   


  • RRID:SCR_002660

    This resource has 500+ mentions.

http://www.nbrc.nite.go.jp/e/index.html

Collection of microbial resources and perform taxonomic characterization of individual microorganisms such as bacteria including actinomycetes and archaea, yeasts, fungi, algaes, bacteriophages and DNA resources for academic research and industrial applications. NBRC is a member of WFCC, OECD Global BRC Network, ACM and JSCC. They are certified by quality management system ISO 9001. To provide attractive biological resources with useful information attached, they actively collect potentially useful biological resources (microorganisms and cloned genes) and distributes them to promote basic research as well as industrial applications. At the Biological Resource Center, they explore, isolate and identify microorganisms from various natural environments and at the same time accept scientifically and industrially useful microorganisms from researchers in academic and industrial sectors. The microbial DNA library constructed at the Biotechnology Development Center is also part of their collection. To improve and expand the collection, new methodologies for the isolation, identification and preservation of microorganisms and DNA will be investigated and developed so as to provide biological resources of higher quality. Their resources serve, for example, as the standard for determining antimicrobial activity, in aseptic tests as well as for the production of pharmaceutical substances and will be constantly reinforced for wider distribution to researchers in academia and industries. Please refer to the catalog shown at the NBRC website for details.

Proper citation: NBRC (RRID:SCR_002660) Copy   


https://sbpdiscovery.org/research/centers/conrad-prebys-center-for-chemical-genomics/

The Conrad Prebys Center for Chemical Genomics (CPCCG) uses advanced screening technologies to identify high level chemical probes that interact with proteins involved in cellular processes. Optimization of these probes using medicinal chemistry and informatics will form the basis of a new generation of medicines. CPCCG is 1 of 4 Comprehensive Centers chosen nationally to be a part of the Molecular Libraries Probe Program (MLP), which established the Molecular Libraries Probe Production Centers Network (MLPCN). The goal is to produce small molecule probes that allow research into health and disease on the cellular level. CPCCG core services span a range of biochemical and cell-based screens for obtaining hits and provide chemistry resources for optimizing hits into probes or drug development. - Full scale screening capabilities and technology which can provide rapid screening on a broad diversity of assays and detection platforms - Several fully-integrated industrial-scale high-throughput screening (HTS) workstations - HTS microscopy/HCS and novel algorithm development for image analysis - Full hit-to-probe chemistry and exploratory pharmacology - Powerful NMR based Chemical Fragment Screening - Highly integrated informatics infrastructure and efficient data mining capabilities - Protein production facility - Cell production facility for scale-up tissue culture The CPCCG Screening Core can screen 96, 384 or 1536 well formats using either biochemical or cell-based assays, and can process over 300,000 wells per day. Total throughput capacity will climb to over 2 million compounds per day following the opening of Burnhams east coast campus in Lake Nona, Florida.

Proper citation: Conrad Prebys Center for Chemical Genomics (RRID:SCR_001687) Copy   


  • RRID:SCR_000902

    This resource has 100+ mentions.

http://www.softberry.com/

Developer of software tools for genomic research focused on computational methods of high throughput biomedical data analysis, including software to support next generation sequencing technologies, transcriptome analysis with RNASeq data, SNP detection and selection of disease specific SNP subsets. Provides custom genome annotation services.

Proper citation: SoftBerry (RRID:SCR_000902) 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   


  • RRID:SCR_009345

    This resource has 10+ mentions.

http://www.helsinki.fi/~tsjuntun/pseudomarker/

A linkage analysis software for joint linkage and/or linkage disequilibrium analysis. PSEUDOMARKER can analyze different data structures jointly such as cases-controls, trios, sib-pairs, sib-ships, and extended families. (entry from Genetic Analysis Software)

Proper citation: PSEUDOMARKER (RRID:SCR_009345) Copy   


  • RRID:SCR_009340

http://www.urmc.rochester.edu/smd/biostat/Projects/Help/PC/Software_Listings.htm

Software application for partition of single generation into sibling groups (entry from Genetic Analysis Software)

Proper citation: PRT (RRID:SCR_009340) Copy   


  • RRID:SCR_009341

    This resource has 10+ mentions.

http://acgt.cs.tau.ac.il/psat/

Software application (entry from Genetic Analysis Software)

Proper citation: PSAT (RRID:SCR_009341) Copy   


  • RRID:SCR_009378

    This resource has 1+ mentions.

http://www.well.ox.ac.uk/~spencer/SelSim/

Software program which can simulate population genetic data in which a single site has experienced natural selection. When designing methods which provide the necessary power to detect regions of the genome which have experience historical selective pressures it is important to consider which patterns of genetic diversity are indicative of particular forms of natural selection. (entry from Genetic Analysis Software)

Proper citation: SELSIM (RRID:SCR_009378) Copy   


  • RRID:SCR_009371

    This resource has 10+ mentions.

https://cran.r-project.org/web/packages/onemap/index.html

Software environment for constructing linkage maps in outcrossing plant species, using full-sib families derived from two outbreed (non-inbreeding) parent plants. (entry from Genetic Analysis Software)

Proper citation: R/ONEMAP (RRID:SCR_009371) Copy   


  • RRID:SCR_009407

    This resource has 100+ mentions.

http://www.adfg.alaska.gov/index.cfm?adfg=fishinggeneconservationlab.software

Software application that estimates the relative contributions of discrete populations to a mixture sample, solving what is commonly referred to in fisheries as the mixed stock analysis or genetic stock identification problem. (entry from Genetic Analysis Software)

Proper citation: SPAM (RRID:SCR_009407) Copy   


  • RRID:SCR_009406

    This resource has 100+ mentions.

https://mathgen.stats.ox.ac.uk/genetics_software/snptest/snptest.html

Software program for the analysis of single SNP association in genome-wide studies. The tests implemented can cater for binary (case-control) and quantitative phenotypes, can condition upon an arbitrary set of covariates and properly account for the uncertainty in genotypes. The program is designed to work seamlessly with the output of both the genotype calling program CHIAMO, the genotype imputation program IMPUTE and the program GTOOL. This program was used in the analysis of the 7 genome-wide association studies carried out by the Wellcome Trust Case-Control Consortium (WTCCC). (entry from Genetic Analysis Software)

Proper citation: SNPTEST (RRID:SCR_009406) Copy   


  • RRID:SCR_009403

    This resource has 1+ mentions.

http://www.icr.ac.uk/cancgen/molgen/MolPopGen_Bioinformatics.htm

Software application for multipoint linkage analysis of densely distributed SNP data incorporating automated linkage disequilibrium removal. SNPLINK requires these other programs installed on the system: MERLIN (used for nonparametric analysis), ALLEGRO (used for parametric analysis), R and PERL, all are freely available. (entry from Genetic Analysis Software)

Proper citation: SNPLINK (RRID:SCR_009403) Copy   


  • RRID:SCR_009404

    This resource has 50+ mentions.

http://orclinux.creighton.edu/snpp/

THIS RESOURCE IS NO LONGER IN SERVICE, documented September 29, 2016. A dynamic general database management system to manage high-throughput SNP genotyping data. It provides several functions, including data importing with comparison, Mendelian inheritance check within pedigrees, data compiling and exporting. Furthermore, SNPP may generate files for repeat genotyping and transform them into files that can be executed by a liquid handling system.

Proper citation: SNPP (RRID:SCR_009404) Copy   


  • RRID:SCR_009369

https://cran.r-project.org/web/packages/luca/index.html

Software application (entry from Genetic Analysis Software)

Proper citation: R/LUCA (RRID:SCR_009369) Copy   


  • RRID:SCR_009400

    This resource has 1+ mentions.

http://capella.uni-kiel.de/snap/snap.htm

THIS RESOURCE IS NO LONGER IN SERVICE, documented September 29, 2016. Software program can be used to generate SNP haplotype sequence data of unrelated individuals and nuclear families with a fixed or random number of children.

Proper citation: SNAP 3 (RRID:SCR_009400) Copy   


  • RRID:SCR_009364

    This resource has 1+ mentions.

http://www.mrc-epid.cam.ac.uk/~jinghua.zhao/r-progs.htm

An integrated software package for genetic data analysis of both population and family data. Currently it contains functions for sample size calculations of both population-based and family-based designs, classic twin ACE/ADE/AE/CE models, probability of familial disease aggregation, kinship calculation, some statistics in linkage analysis, and association analysis involving one or more genetic markers including haplotype analysis with or without environmental covariates (entry from Genetic Analysis Software)

Proper citation: R/GAP (RRID:SCR_009364) Copy   


  • RRID:SCR_009365

https://cran.r-project.org/web/packages/hapassoc/index.html

Software application using a likelihood approach to inference of haplotype and nongenetic effects and their interactions in generalized linear models of disease penetrance, when haplotype phase is unknown for some subjects. Parameter estimates are obtained by use of an expectation-maximization (EM) algorithm and standard errors are calculated using Louis'' formula. (entry from Genetic Analysis Software)

Proper citation: R/HAPASSOC (RRID:SCR_009365) Copy   


  • RRID:SCR_009360

    This resource has 1+ mentions.

http://csg.sph.umich.edu/boehnke/rhmap.php

Software application (entry from Genetic Analysis Software)

Proper citation: RHMAP (RRID:SCR_009360) Copy   



Can't find your Tool?

We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.

Can't find the RRID you're searching for? X
  1. NIDDK Information Network Resources

    Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.

  2. Navigation

    You are currently on the Community Resources tab looking through categories and sources that dkNET has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.

  3. Logging in and Registering

    If you have an account on dkNET then you can log in from here to get additional features in dkNET such as Collections, Saved Searches, and managing Resources.

  4. Searching

    Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:

    1. Use quotes around phrases you want to match exactly
    2. You can manually AND and OR terms to change how we search between words
    3. You can add "-" to terms to make sure no results return with that term in them (ex. Cerebellum -CA1)
    4. You can add "+" to terms to require they be in the data
    5. Using autocomplete specifies which branch of our semantics you with to search and can help refine your search
  5. Save Your Search

    You can save any searches you perform for quick access to later from here.

  6. Query Expansion

    We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.

  7. Collections

    If you are logged into dkNET you can add data records to your collections to create custom spreadsheets across multiple sources of data.

  8. Sources

    Here are the sources that were queried against in your search that you can investigate further.

  9. Categories

    Here are the categories present within dkNET that you can filter your data on

  10. Subcategories

    Here are the subcategories present within this category that you can filter your data on

  11. Further Questions

    If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.

X