Tools   Select Another Resource Report Type

http://www.projects.roslin.ac.uk/sheepmap/front.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The project aims to apply genome mapping research to sheep, utilizing previous research in sheep (in other countries) and in other species (in the UK and abroad) to the benefit of the UK sheep industry. The project itself uses existing breeding structures, knowledge of the sheep genome and experimental resources. It has three main aims: i) To use the Suffolk, Texel and Charollais Sire Referencing Schemes to detect and verify quantitative trait loci (QTLs) for growth and carcass composition traits ii) To investigate candidate genes and/or chromosomal regions for associations with production traits. iii) To investigate approaches for optimizing future genotyping strategies within the sire referencing schemes for practical and cost effective application of marker-assisted selection By using commercial breeding populations for the research, immediate application of beneficial results is possible. Potential benefits include increased genetic progress through marker assisted selection which utilizes the genotype information, correction of possible parentage errors (ultimately leading to additional genetic progress) and opportunities for using marker information for product certification. The project will benefit the UK sheep industry by the use of Marker Assisted Selection (MAS) utilizing QTL or gene variants identified in the project. Additional benefits may arise from parentage verification and correction of errors e.g. misallocation of lamb to ewe. In the longer term, opportunities may exist to use markers for quality control, tracing products to their source. The major advantage of the design of this project is that the results are immediately applicable to the breeding schemes within which the QTLs and/or genes are detected. The time lag in the application of the results that is often seen with experimental populations is minimized. The project requires close involvement with the Sire Reference Schemes, in return for their assistance the results have immediate benefit to animals within these groups.

Proper citation: UK Sheep Genome Mapping Project (RRID:SCR_002272) Copy   

•   Source: SciCrunch Registry

http://www.geosamples.org/

Sample Catalog and Registry for the International Geo Sample Number. SESAR catalogs and preserves sample metadata profiles, and provides access to the sample catalog via the Global Sample Search.

Proper citation: System for Earth Sample Registration (RRID:SCR_002222) Copy   

•   Source: SciCrunch Registry

http://gmdd.shgmo.org/Computational-Biology/GRS/

A compression tool for efficient storage of Genome Re-Sequencing data. GRS processes genome sequence data without use of reference SNPs and other variants. It can also automatically rebuild the individual genome sequence data using the reference genome sequence.

Proper citation: GRS (RRID:SCR_001008) Copy   

•   Source: SciCrunch Registry

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

VUIIS (Vanderbilt University Institute of Imaging Science) Image and Data Analysis Core's data processing tools written for MATLAB and, unless stated otherwise, capable of processing 2D/3D images (matrices). These tools are written for ease of use from within MATLAB.

Proper citation: vuTools (RRID:SCR_001704) Copy   

•   Source: SciCrunch Registry

http://regulondb.ccg.unam.mx/

Database on transcriptional regulation in Escherichia coli K-12 containing knowledge manually curated from original scientific publications, complemented with high throughput datasets and comprehensive computational predictions. Graphic and text-integrated environment with friendly navigation where regulatory information is always at hand. They provide integrated views to understand as well as organized knowledge in computable form. Users may submit data to make it publicly available.

Proper citation: RegulonDB (RRID:SCR_003499) Copy   

•   Source: SciCrunch Registry

http://braincanada.ca/

Brain Canada is a national non-profit organization that develops and supports collaborative, multidisciplinary, multi-institutional research across the neurosciences. Through partnering with the public, private and voluntary sectors, Brain Canada connects the knowledge and resources available in this area to accelerate neuroscience research and funding and maximize the output of Canada''s world-class scientists and researchers. Brain Canada was created to address the twin challenges of increasing the scale of brain research funding in Canada and widening its scope to encourage interdisciplinary collaboration to produce insights for treating multiple disorders. Brain Canada is built on the successes and model of NeuroScience Canada (NSC). Established in 1999, NSC raised more than $11.5 million, leveraged over $20 million with partnered funding, and funded 100 individual and teams of researchers in Canada. Brain Canada is the new vision for Canadian brain researchthe voice for the brain and the grouping of brain disorders, raising awareness about their prevalence and impact on individuals, families, the economy and society. But most important, through the research we are funding, we are giving hope to the millions of Canadians who are directly or indirectly touched by diseases, disorders, and injuries of the brain, spinal cord and nervous system.

Proper citation: Brain Canada (RRID:SCR_005053) Copy   

•   Source: SciCrunch Registry

http://www.ibioseminars.org/

iBioSeminars offers: * Free, on-demand lectures: Many universities/colleges have limited access to high profile leaders in biological research. Our goal is to add 15-20 seminars per year, of similar quality to outstanding lectures that are currently in this library. Access, through web streaming or download, is completely free-of-charge. * Targeting a broad audience: iBioSeminars start with an extended introduction, making them accessible to non-specialists and students, and then progress to cover current research. Senior scientists and students can view and enjoy these lectures. * Education: iBioSeminars are being used by undergraduate and graduate teachers to augment their classroom material. We have now added an education component to this web site (including lecture notes, questions/answers and short video clips for teaching). * International communication: iBioSeminars have viewers in 115 countries and they are being internally promoted in several countries as an educational tool and scientific resource. * Goodwill: Lecturers generously donate their time to prepare these lectures. The project, largely funded by HHMI, is a grass roots efforts with time invested by several individuals at UCSF, HHMI and ASCB.

Proper citation: iBioSeminars (RRID:SCR_005848) Copy   

•   Source: SciCrunch Registry

http://znf.igb.uiuc.edu/

Searchable, manually curated collection of Kruppel-type zinc finger genes (KZNFs) in primates with finished or high quality draft genomes.

Proper citation: KZNF Catalog (RRID:SCR_015495) Copy   

•   Source: SciCrunch Registry

https://trendscenter.org/software/

Software toolbox which finds and displays temporal relations amongst components. This can help determine causal relations in the brain.

Proper citation: Functional Network Connectivity (FNC) (RRID:SCR_015731) Copy   

•   Source: SciCrunch Registry

https://ftp.ncbi.nlm.nih.gov/pub/lu/LabeledIn/

Database of annotations of drug indications in FDA drug labels. LabeledIn contains an expert curated set of indications and a crowdsourced set of indications.

Proper citation: LabeledIn (RRID:SCR_015667) Copy   

•   Source: SciCrunch Registry

http://diseases.jensenlab.org/

Database that integrates evidence on disease-gene associations from automatic text mining, manually curated literature, cancer mutation data, and genome-wide association studies. It also assigns confidence scores that facilitate comparison of the different types and sources of evidence.

Proper citation: DISEASES (RRID:SCR_015664) Copy   

•   Source: SciCrunch Registry

http://tissues.jensenlab.org

Database that integrates evidence on tissue expression from manually curated literature, proteomics and transcriptomics screens, and automatic text mining. It maps all evidence to common protein identifiers and Brenda Tissue Ontology terms, and further unifies it by assigning confidence scores that facilitate comparison of the different types and sources of evidence.

Proper citation: TISSUES (RRID:SCR_015665) Copy   

•   Source: SciCrunch Registry

http://csb.pitt.edu/erc_analysis/Methods.php

Web-based statistical application that measures correlated rates across a phylogeny, allowing for extraction of genes with similar evolutionary histories. It can identify new functional connections between genes.

Proper citation: Evolutionary Rate Covariation (RRID:SCR_015669) Copy   

•   Source: SciCrunch Registry

https://portals.broadinstitute.org/cmap/

Collection of genome-wide transcriptional expression data from cultured human cells treated with bioactive small molecules and simple pattern-matching algorithms. camp aims to enable the discovery of functional connections between drugs, genes and diseases through the transitory feature of common gene-expression changes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Connectivity Map 02 (RRID:SCR_015674) Copy   

•   Source: SciCrunch Registry

https://github.com/hpardoe/napr/

Cloud-based framework that allows users to estimate the age of individual subjects using cortical thickness maps derived from their own locally processed T1-weighted whole brain MRI scans. The provided age prediction models were trained using (i) relevance vector machines and (ii) Gaussian processes machine learning methods applied to cortical thickness surfaces obtained using Freesurfer v5.3.

Proper citation: NAPR: Neuroanatomical Age Prediction using R (RRID:SCR_015759) Copy   

•   Source: SciCrunch Registry

https://github.com/DDTBOX/DDTBOX

Software toolkit for multivariate pattern analysis (MVPA) of event-related potentials. This software is written in MATLAB.

Proper citation: Decision Decoding Toolbox (RRID:SCR_015978) Copy   

•   Source: SciCrunch Registry

http://www.braincode.ca

Brain-CODE is a large-scale informatics platform that manages the acquisition and storage of multidimensional data collected from participants with a variety of brain disorders.

Proper citation: Brain-CODE (RRID:SCR_015877) Copy   

•   Source: SciCrunch Registry

https://pdb-dev.wwpdb.org

Data repository for integrative/hybrid structural models of macromolecules and their assemblies. This includes atomistic models as well as multi-scale models consisting of different coarse-grained representations.

Proper citation: PDB-Dev (RRID:SCR_016185) Copy   

•   Source: SciCrunch Registry

http://www2.mrc-lmb.cam.ac.uk/relion

Software for determination of cryo-EM structures. It employs an empirical Bayesian approach to refinement of (multiple) 3D reconstructions or 2D class averages in electron cryo-microscopy.

Proper citation: RELION (RRID:SCR_016274) Copy   

•   Source: SciCrunch Registry

https://github.com/Sung-Huan/ANNOgesic

Software tool for bacterial/archaeal RNA-Seq based genome annotations. Used for integrating, detecting, predicting, and grouping RNA-Seq data.

Proper citation: ANNOgesic (RRID:SCR_016326) Copy   

•   Source: SciCrunch Registry