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The AD Knowledge Portal: A Repository for Multi-Omic Data on Alzheimer's Disease and Aging.
Greenwood, Anna K; Montgomery, Kelsey S; Kauer, Nicole; Woo, Kara H; Leanza, Zoe J; Poehlman, William L; Gockley, Jake; Sieberts, Solveig K; Bradic, Ljubomir; Logsdon, Benjamin A; Peters, Mette A; Omberg, Larsson; Mangravite, Lara M.
Affiliation
  • Greenwood AK; Sage Bionetworks, Seattle, Washington.
  • Montgomery KS; Sage Bionetworks, Seattle, Washington.
  • Kauer N; Sage Bionetworks, Seattle, Washington.
  • Woo KH; Sage Bionetworks, Seattle, Washington.
  • Leanza ZJ; Sage Bionetworks, Seattle, Washington.
  • Poehlman WL; Sage Bionetworks, Seattle, Washington.
  • Gockley J; Sage Bionetworks, Seattle, Washington.
  • Sieberts SK; Sage Bionetworks, Seattle, Washington.
  • Bradic L; Sage Bionetworks, Seattle, Washington.
  • Logsdon BA; Sage Bionetworks, Seattle, Washington.
  • Peters MA; Sage Bionetworks, Seattle, Washington.
  • Omberg L; Sage Bionetworks, Seattle, Washington.
  • Mangravite LM; Sage Bionetworks, Seattle, Washington.
Curr Protoc Hum Genet ; 108(1): e105, 2020 12.
Article in En | MEDLINE | ID: mdl-33085189
The AD Knowledge Portal (adknowledgeportal.org) is a public data repository that shares data and other resources generated by multiple collaborative research programs focused on aging, dementia, and Alzheimer's disease (AD). In this article, we highlight how to use the Portal to discover and download genomic variant and transcriptomic data from the same individuals. First, we show how to use the web interface to browse and search for data of interest using relevant file annotations. We demonstrate how to learn more about the context surrounding the data, including diagnostic criteria and methodological details about sample preparation and data analysis. We present two primary ways to download data-using a web interface, and using a programmatic method that provides access using the command line. Finally, we show how to merge separate sources of metadata into a comprehensive file that contains factors and covariates necessary in downstream analyses. © 2020 The Authors. Basic Protocol 1: Find and download files associated with a selected study Basic Protocol 2: Download files in bulk using the command line client Basic Protocol 3: Working with file annotations and metadata.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Aging / Information Storage and Retrieval / Genomics / Databases, Genetic / Alzheimer Disease Type of study: Diagnostic_studies / Guideline Limits: Humans Language: En Journal: Curr Protoc Hum Genet Year: 2020 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Aging / Information Storage and Retrieval / Genomics / Databases, Genetic / Alzheimer Disease Type of study: Diagnostic_studies / Guideline Limits: Humans Language: En Journal: Curr Protoc Hum Genet Year: 2020 Type: Article