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https://www.research.va.gov/mvp/

National research program to learn how genes, lifestyle, and military exposures affect health and illness.

Proper citation: Million Veteran Program (RRID:SCR_021731) Copy   

•   Source: SciCrunch Registry

https://samplesizeshop.org

Platform for multilevel and longitudinal data.Provide researchers such as behavioral and social scientists with tools and education related to study design including Calculating power and sample size for any univariate or multivariate test for general linear multivariate model, assuming fixed predictors;Producing confidence intervals on power estimates for designs with fixed predictors;Producing power calculations for designs with single Gaussian covariate;Supporting designs with unequal group sizes, and complicated covariance structures;Creating basic power curves.

Proper citation: Sample Size Shop (RRID:SCR_021747) Copy   

•   Source: SciCrunch Registry

https://trialdesign.org/

Integrated platform for designing clinical trials.

Proper citation: Trialdesign (RRID:SCR_021749) Copy   

•   Source: SciCrunch Registry

https://www.microns-explorer.org/

Portal to release connectivity and functional imaging data collected by consortium of laboratories led by groups at Allen Institute for Brain Science, Princeton University, and Baylor College of Medicine, with support from broad array of teams, coordinated and funded by IARPA MICrONS program. Data include large scale electron microscopy based reconstructions of cortical circuitry from mouse visual cortex, with corresponding functional imaging data from those same neurons.

Proper citation: Microns Explorer (RRID:SCR_021678) Copy   

•   Source: SciCrunch Registry

https://github.com/bioinfo-biols/CIRIquant

Software Python package for accurate circRNA quantification and differential expression analysis. Comprehensive analysis pipeline for circRNA detection and quantification in RNA-Seq data. Accurate quantification of circular RNAs identifies extensive circular isoform switching events.

Proper citation: CIRIquant (RRID:SCR_021661) Copy   

•   Source: SciCrunch Registry

https://www.ebi.ac.uk/eqtl

Catalog provides uniformly processed gene expression and splicing QTLs from all available public studies on human. Expression and splicing QTLs recomputed from public datasets.

Proper citation: eQTL Catalogue (RRID:SCR_021700) Copy   

•   Source: SciCrunch Registry

https://paperswithcode.com/

Website devoted to papers that contain machine learning datasets, code, methods and evaluation tables. Done together with community, supported by NLP and ML.All content on this website is openly licenced under CC-BY-SA and everyone can contribute.Also operates specialized portals for papers with code in astronomy, physics, computer sciences, mathematics and statistics.

Proper citation: Papers with Code (RRID:SCR_021800) Copy   

•   Source: SciCrunch Registry

https://training.incf.org

Portal that provides multimedia educational content from courses, conference lectures, and laboratory exercises from some of leading neuroscience institutes and societies to be more accessible to global neuroscience community.

Proper citation: TrainingSpace (RRID:SCR_022036) Copy   

•   Source: SciCrunch Registry

https://hpap.pmacs.upenn.edu/about-pancdb

Portal to make all Human Pancreas Analysis Program data available to anyone in research community and to interact with and connect scientific community. Stores clinical, molecular, cellular, immunology, imaging, and pathology data from pancreatic tissue and cell samples from organ donors with and without type 1 or type 2 diabetes.

Proper citation: PANC-DB (RRID:SCR_021860) Copy   

•   Source: SciCrunch Registry

https://microbiomedata.org

Platform facilitates comprehensive discovery of and access to multidisciplinary microbiome data in order to unlock new possibilities with microbiome data science. Multi organizational effort to integrate microbiome data across diverse areas in medicine, agriculture, bioenergy, and environment. Founded to support long term advancement of microbiome science.

Proper citation: National Microbiome Data Collaborative (RRID:SCR_022161) Copy   

•   Source: SciCrunch Registry

https://evofunvm.dcsr.unil.ch/

Database of metadata and assembly quality metrics for all Arthropod assemblies on NCBI.

Proper citation: Arthropoda Assembly Assessment Catalog (RRID:SCR_021864) Copy   

•   Source: SciCrunch Registry

https://osf.io/xfpn4/

MDAR Framework establishes minimum set of requirements in transparent reporting applicable to studies in life sciences. MDAR checklist is tool for authors, editors and others seeking to adopt MDAR framework for transparent reporting in manuscripts and other outputs and designed to provide harmonizing principle for reporting requirements currently in use at various journals.

Proper citation: MDAR (RRID:SCR_022038) Copy   

•   Source: SciCrunch Registry

https://github.com/vlink/marge

Software package that integrates genome wide genetic variation with epigenetic data to identify collaborative transcription factor pairs. Optimized to work with chromatin accessibility assays such as ATAC-seq or DNase I hypersensitivity, as well as transcription factor binding data collected by ChIP-seq. Used to identify combinations of cell type specific transcription factors while simultaneously interpreting functional effects of non-coding genetic variation.

Proper citation: Motif Mutation Analysis for Regulatory Genomic Elements (RRID:SCR_021902) Copy   

•   Source: SciCrunch Registry

http://connect-tbi.med.upenn.edu/

Portal for traumatic brain injury data. Common Data Elements (CDEs) and Unique Data Elements (UDEs) for digital neuropathological data and clinical data that will be collected in all CONNECT-TBI center projects. Goal is to establish multi-center, digital neuropathological data and clinical data reporting network with case accrual from each center project. Collected neuropathological data and clinical data available by sharing with center site investigators approved by Administrative Core and by submitting into FITBIR. Central TBI data repository by collecting digital neuropathological data and clinical data from TBI cases and normal controls at each center and posting library of their holdings.

Proper citation: Connect TBI (RRID:SCR_022009) Copy   

•   Source: SciCrunch Registry

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