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Mike Feolo

Researcher at National Institutes of Health

Publications -  6
Citations -  7401

Mike Feolo is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Expression quantitative trait loci & Genome-wide association study. The author has an hindex of 4, co-authored 6 publications receiving 5722 citations.

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The Genotype-Tissue Expression (GTEx) project

John T. Lonsdale, +129 more
- 29 May 2013 - 
TL;DR: The Genotype-Tissue Expression (GTEx) project is described, which will establish a resource database and associated tissue bank for the scientific community to study the relationship between genetic variation and gene expression in human tissues.
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The status, quality, and expansion of the NIH full-length cDNA project: The Mammalian Gene Collection (MGC)

Daniela S. Gerhard, +118 more
- 01 Oct 2004 - 
TL;DR: Comparison of the sequence of the MGC clones to reference genome sequences reveals that most cDNA clones are of very high sequence quality, although it is likely that some cDNAs may carry missense variants as a consequence of experimental artifact, such as PCR, cloning, or reverse transcriptase errors.
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Phenotype–Genotype Integrator (PheGenI): synthesizing genome-wide association study (GWAS) data with existing genomic resources

TL;DR: The Phenotype–Genotype Integrator (PheGenI), a user-friendly web interface that integrates various National Center for Biotechnology Information genomic databases with association data from the National Human Genome Research Institute GWAS Catalog and supports downloads of search results, is developed.
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Rapid evaluation of phenotypes, SNPs and results through the dbGaP CHARGE Summary Results site

TL;DR: Rapid evaluation of phenotypes, SNPs and results through the dbGaP CHARGE Summary Results site shows clear trends in prognosis, with prognosis improving with increasing optimism about the prognosis for girls with intellectual disabilities.

The Genotype-Tissue Expression (GTEx) project

John T. Lonsdale, +126 more
TL;DR: In this article, the authors proposed a new method for the detection of cancer using a set of genes extracted from the human brain, which they called LSTM-CRF.