Date: Tuesday, October 4, 2016
Time: 12:30pm – 1:30pm
Location: Street Level Conference Room
Showing 1 to 3 of 3 items tagged as genotype and phenotype
Provider: National Center for Biotechnology Information
Access Level: Free, Open Access, Partially Open
Descriptions: In dbGaP, NCBI archives and distributes the results of studies investigating the interaction of genotype and phenotype. Genome-wide association studies, medical sequencing, molecular diagnostic assays, and associations between genotype and non-clinical traits are covered. dbGaP contains both open- and controlled-access data. Non-sensitive data are released on a broad scale, but sensitive data sets involving personal health information are not publicly accessible. Search by study or disease, or use Advanced Search.
Keywords: diseases, genetics, genome, genomics, genotype and phenotype, life sciences, microbiology
Provider: Kenneth K. Kidd, Yale University / US National Science Foundation
Contents: charts/graphs, datasets, statistics
Access Level: Free, Open Access
Descriptions: ALFRED is a database of allele frequencies in diverse anthropologically defined populations. It is a compendium of frequencies of selected polymorphisms, with an emphasis on those that have been studied in multiple populations. All data in ALFRED are considered to be in the public domain and available for use in research and teaching.
Keywords: allele, data-sharing, DNA, genetics, genotype and phenotype, research tools
Provider: 1000 Genomes
Contents: Citations, datasets, links, open-source, search engine
Access Level: Free
Descriptions: 1000 Genomes: a deep catalog of human genetic variation "...is the first project to sequence the genomes of a large number of people, to provide a comprehensive resource on human genetic variation... The goal of the 1000 Genomes Project is to find most genetic variants that have frequencies of at least 1% in the populations studied." 1000 Genomes is an international endeavor, with participants from institutes, governments and universities world-wide. "DNA from the samples will be available for researchers to follow up with more detailed studies of variation in particular regions. The cell lines will allow researches to study cellular phenotypes such as gene expression, epigenetic patterns, and drug response. The extensive genotype data available on the samples, and the trio samples for some of the populations, will allow researchers to map regions of the genome computationally that affect the cellular phenotypes, and to study the heritability of these phenotypes."
Keywords: bioinformatics, biomedical research, cell biology, data analysis, data repositories, epigenetics, genetics, genome, genomics, genotype and phenotype, microbiology, mutations, proteins, sequencing, software