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Michael Kholodov

Researcher at National Institutes of Health

Publications -  6
Citations -  7743

Michael Kholodov is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Genome & Single-nucleotide polymorphism. The author has an hindex of 5, co-authored 6 publications receiving 6868 citations.

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dbSNP: the NCBI database of genetic variation

TL;DR: The dbSNP database is a general catalog of genome variation to address the large-scale sampling designs required by association studies, gene mapping and evolutionary biology, and is integrated with other sources of information at NCBI such as GenBank, PubMed, LocusLink and the Human Genome Project data.
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The NCBI dbGaP database of genotypes and phenotypes.

TL;DR: The dbGaP as discussed by the authors is a public repository for individual-level phenotype, exposure, genotype and sequence data and the associations between them, including documents, individual phenotypic variables, tables of trait data, sets of genotype data, computed phenotype-genotype associations, and groups of study subjects who have given similar consents for use of their data.
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Sequence variations in the public human genome data reflect a bottlenecked population history

TL;DR: The history of the population represented by the public genome sequence is one of collapse followed by a recent phase of mild size recovery, and the inferred times of collapse and recovery are Upper Paleolithic, in agreement with archaeological evidence of the initial modern human colonization of Europe.
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Best Match: New relevance search for PubMed.

TL;DR: This work presents Best Match, a new relevance search algorithm for PubMed that leverages the intelligence of users and cutting-edge machine-learning technology as an alternative to the traditional date sort order.
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PubMed Labs: An Experimental System for Improving Biomedical Literature Search

TL;DR: The recently developed PubMed Labs is detailed, an experimental system for users to test new search features/tools and provide feedback that enables us to make more informed decisions about potential changes to improve the search quality and overall usability of PubMed.