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 4 showing 61 ~ 80 out of 123 results
Snippet view Table view Download 123 Result(s)
Click the to add this resource to a Collection
  • RRID:SCR_001174

http://genetics.cs.ucla.edu/graphibd/

Identity-by-descent (IBD) association testing software for genome-wide association study analysis. It requires an IBD detection method such as Beagle FastIBD to run first. GraphIBD then builds upon the IBD information to test if the IBD segments show association to the traits.

Proper citation: GraphIBD (RRID:SCR_001174) Copy   


  • RRID:SCR_023159

    This resource has 100+ mentions.

https://maayanlab.cloud/chea3/

Web based transcription factor enrichment analysis. Web server ranks TFs associated with user-submitted gene sets. ChEA3 background database contains collection of gene set libraries generated from multiple sources including TF-gene co-expression from RNA-seq studies, TF-target associations from ChIP-seq experiments, and TF-gene co-occurrence computed from crowd-submitted gene lists. Enrichment results from these distinct sources are integrated to generate composite rank that improves prediction of correct upstream TF compared to ranks produced by individual libraries.

Proper citation: ChIP-X Enrichment Analysis 3 (RRID:SCR_023159) Copy   


https://esp.gs.washington.edu/

Project focused on understanding the contribution of rare genetic variation to heart, lung and blood disorders through the sequencing of well-phenotyped populations.

Proper citation: NHLBI Grand Opportunity Exome Sequencing Project (RRID:SCR_010798) Copy   


  • RRID:SCR_028691

http://hlathena.tools/

Web tool and predictive model used by researchers to identify which small protein fragments (peptides) will be presented by human leukocyte antigen (HLA) proteins on the surface of cells. It is heavily used in the development of cancer immunotherapies and personalized

Proper citation: HLAthena (RRID:SCR_028691) Copy   


http://www.census.gov/did/www/nlms/

A database based on a random sample of the noninstitutionalized population of the United States, developed for the purpose of studying the effects of demographic and socio-economic characteristics on differentials in mortality rates. It consists of data from 26 U.S. Current Population Surveys (CPS) cohorts, annual Social and Economic Supplements, and the 1980 Census cohort, combined with death certificate information to identify mortality status and cause of death covering the time interval, 1979 to 1998. The Current Population Surveys are March Supplements selected from the time period from March 1973 to March 1998. The NLMS routinely links geographical and demographic information from Census Bureau surveys and censuses to the NLMS database, and other available sources upon request. The Census Bureau and CMS have approved the linkage protocol and data acquisition is currently underway. The plan for the NLMS is to link information on mortality to the NLMS every two years from 1998 through 2006 with research on the resulting database to continue, at least, through 2009. The NLMS will continue to incorporate data from the yearly Annual Social and Economic Supplement into the study as the data become available. Based on the expected size of the Annual Social and Economic Supplements to be conducted, the expected number of deaths to be added to the NLMS through the updating process will increase the mortality content of the study to nearly 500,000 cases out of a total number of approximately 3.3 million records. This effort would also include expanding the NLMS population base by incorporating new March Supplement Current Population Survey data into the study as they become available. Linkages to the SEER and CMS datasets are also available. Data Availability: Due to the confidential nature of the data used in the NLMS, the public use dataset consists of a reduced number of CPS cohorts with a fixed follow-up period of five years. NIA does not make the data available directly. Research access to the entire NLMS database can be obtained through the NIA program contact listed. Interested investigators should email the NIA contact and send in a one page prospectus of the proposed project. NIA will approve projects based on their relevance to NIA/BSR''s areas of emphasis. Approved projects are then assigned to NLMS statisticians at the Census Bureau who work directly with the researcher to interface with the database. A modified version of the public use data files is available also through the Census restricted Data Centers. However, since the database is quite complex, many investigators have found that the most efficient way to access it is through the Census programmers. * Dates of Study: 1973-2009 * Study Features: Longitudinal * Sample Size: ~3.3 Million Link: *ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00134

Proper citation: National Longitudinal Mortality Study (RRID:SCR_008946) Copy   


  • RRID:SCR_015581

    This resource has 1+ mentions.

http://drugtargetontology.org/

Ontology of drug targets to be used as a reference for drug targets, with the longer-term goal of creating a community standard that will facilitate the integration of diverse drug discovery information from numerous heterogeneous resources. The project itself aims to develop a novel semantic framework to formalize knowledge about drug targets with a focus on the current IDG protein families.

Proper citation: Drug Target Ontology (RRID:SCR_015581) Copy   


https://github.com/sxf296/drug_targeting

Software tool to detect phenotypically relevant drug targets through unique transcriptomic enrichment that emphasizes biological directionality of drug-derived gene sets. Exploratory tool to screen for possible drug targeting molecules.

Proper citation: drug perturbation Gene Set Enrichment Analysis (RRID:SCR_025351) Copy   


  • RRID:SCR_023120

    This resource has 100+ mentions.

https://www.bioconductor.org/packages/release/bioc/html/SingleR.html

Software R package for unbiased cell type recognition of scRNA-seq data. Performs unbiased cell type recognition from single-cell RNA sequencing data, by leveraging reference transcriptomic datasets of pure cell types to infer cell of origin of each single cell independently.

Proper citation: SingleR (RRID:SCR_023120) Copy   


  • RRID:SCR_023697

    This resource has 100+ mentions.

https://github.com/rondolab/MR-PRESSO

Software R package for performing Mendelian randomization pleiotropy residual sum and outlier method.Used to identify horizontal pleiotropic outliers in multi instrument summary level MR testing.

Proper citation: MR-PRESSO (RRID:SCR_023697) Copy   


  • RRID:SCR_015991

    This resource has 50+ mentions.

https://data.broadinstitute.org/alkesgroup/Eagle/

Software package for statistical estimation of haplotype phase either within a genotyped cohort or using a phased reference panel in large scale sequencing. The package includes Eagle1 (to harness identity-by-descent among distant relatives to rapidly call phase using a fast scoring approach) and Eagle2 (to analyze a full probabilistic model similar to the diploid Li-Stephens model used by previous HMM-based methods.

Proper citation: Eagle (RRID:SCR_015991) Copy   


  • RRID:SCR_004203

    This resource has 50+ mentions.

https://www.hsph.harvard.edu/alkes-price/software/

Software application that uses genotyping data from SNP arrays for accurately inferring chromosomal segments of distinct continental ancestry in admixed populations, using dense genetic data. (entry from Genetic Analysis Software)

Proper citation: Hapmix (RRID:SCR_004203) Copy   


http://www.nihpromis.org/

Repository of person centered measures that evaluates and monitors physical, mental, and social health in adults and children.

Proper citation: Patient-Reported Outcomes Measurement Information System (RRID:SCR_004718) Copy   


  • RRID:SCR_011808

    This resource has 100+ mentions.

http://pipeline.lbl.gov/cgi-bin/gateway2

Software tools for comparative genomics.Comprehensive suite of programs and databases for comparative analysis of genomic sequences. There are two ways of using VISTA - you can submit your own sequences and alignments for analysis (VISTA servers) or examine pre-computed whole-genome alignments of different species.

Proper citation: VISTA Browser (RRID:SCR_011808) Copy   


http://www.broadinstitute.org/mpg/snap/

A computer program and web-based service for the rapid retrieval of linkage disequilibrium proxy single nucleotide polymorphism (SNP) results given input of one or more query SNPs and based on empirical observations from the International HapMap Project and the 1000 Genomes Project. A series of filters allow users to optionally retrieve results that are limited to specific combinations of genotyping platforms, above specified pairwise r2 thresholds, or up to a maximum distance between query and proxy SNPs. SNAP can also generate linkage disequilibrium plots

Proper citation: SNAP - SNP Annotation and Proxy Search (RRID:SCR_002127) Copy   


  • RRID:SCR_003119

    This resource has 10+ mentions.

https://github.com/biojs

An open source JavaScript library of components for visualisation of biological data on the web.

Proper citation: BioJS (RRID:SCR_003119) Copy   


  • RRID:SCR_028110

https://github.com/gagneurlab/scooby/

Software aplication to predict scRNA-seq coverage and scATAC-seq insertion profiles along the genome at single-cell resolution. It leverages the pre-trained multi-omics profile predictor Borzoi as a foundation model, equips it with a cell-specific decoder, and fine-tunes its sequence embeddings.

Proper citation: Scooby (RRID:SCR_028110) Copy   


  • RRID:SCR_027287

https://github.com/itmat/BEERS2

Software for simulation of RNA-seq reads. Combines flexible and highly configurable design with detailed simulation of entire library preparation and sequencing pipeline and is designed to include effects of polyA selection and RiboZero for ribosomal depletion, hexamer priming sequence biases, GC-content biases in polymerase chain reaction (PCR) amplification, barcode read errors and errors during PCR amplification.

Proper citation: BEERS2 (RRID:SCR_027287) Copy   


  • RRID:SCR_017582

    This resource has 1+ mentions.

https://amp.pharm.mssm.edu/geneshot/

Software tool as search engine for ranking genes from arbitrary text queries. Enables to enter arbitrary search terms, to receive ranked lists of genes relevant to search terms. Returned ranked gene lists contain genes that were previously published in association with search terms, as well as genes predicted to be associated with terms based on data integration from multiple sources. Search results are presented with interactive visualizations.

Proper citation: Geneshot (RRID:SCR_017582) Copy   


  • RRID:SCR_017579

    This resource has 100+ mentions.

https://imputationserver.sph.umich.edu/

Web server to implement whole genotype imputation workflow for efficient parallelization of computationally intensive tasks. Service for imputation that facilitates access to new reference panels and greatly improves user experience and productivity. Used to find haplotype segments and reference panel of sequenced genomes, assign genotypes at untyped markers, improve genome coverage, facilitate comparison and combination of studies that use different marker panels, increase power to detect genetic association, and guide fine mapping.

Proper citation: Michigan Imputation Server (RRID:SCR_017579) Copy   


  • RRID:SCR_021538

    This resource has 10+ mentions.

https://crispresso.pinellolab.partners.org/submission

Software suite of tools to qualitatively and quantitatively evaluate outcomes of genome editing experiments in which target loci are subject to deep sequencing and provides integrated, user friendly interface. Used for analysis of CRISPR-Cas9 genome editing outcomes from sequencing data. CRISPResso2 provides accurate and rapid genome editing sequence analysis.Used for analysis of deep sequencing data for rapid and intuitive interpretation of genome editing experiments.

Proper citation: CRISPResso (RRID:SCR_021538) 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. PRECISE-TBI Resources

    Welcome to the PRECISE-TBI Resources search. From here you can search through a compilation of resources used by PRECISE-TBI 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 PRECISE-TBI 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 PRECISE-TBI then you can log in from here to get additional features in PRECISE-TBI 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 PRECISE-TBI 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 PRECISE-TBI 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