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Paper Details

On-the-fly selection of cell-specific enhancers, genes, miRNAs and proteins across the human body using SlideBase.
Database (Oxford)
19
2016
Human, cell types, cell-specific enhancers, cells, enhancers, genes, human, human tissues, miRNAs, micro-RNAs, microRNAs, promoters
Author NameAffiliation
Hans IenasescuUniversity of Copenhagen
Hans IenasescuUniversity of Copenhagen
Kang LiUniversity of Copenhagen
Kang LiUniversity of Copenhagen
Kang LiUniversity of Copenhagen, Universitetsparken 5
Robin AnderssonUniversity of Copenhagen
Morana VitezicUniversity of Copenhagen
Morana VitezicUniversity of Copenhagen
Sarah RennieUniversity of Copenhagen
Yun ChenUniversity of Copenhagen
Yun ChenUniversity of Copenhagen
Kristoffer Vitting-SeerupUniversity of Copenhagen
Kristoffer Vitting-SeerupUniversity of Copenhagen
Mette BoydUniversity of Copenhagen
Mette BoydUniversity of Copenhagen
Jette BornholdtUniversity of Copenhagen
Jette BornholdtUniversity of Copenhagen
Dave S B HoonRIKEN Center for Life Science Technologies (Division of Genomic Technologies)
Dave S B HoonRIKEN Center for Life Science Technologies (Division of Genomic Technologies)
Hideya KawajiRIKEN Center for Life Science Technologies (Division of Genomic Technologies)
Hideya Kawaji
Hideya KawajiRIKEN Center for Life Science Technologies (Division of Genomic Technologies)
Hideya Kawaji
Timo LassmannRIKEN Center for Life Science Technologies (Division of Genomic Technologies)
Timo LassmannTelethon Kids Institute, The University of Western Australia
Timo LassmannRIKEN Center for Life Science Technologies (Division of Genomic Technologies)
Timo LassmannTelethon Kids Institute, The University of Western Australia
Yoshihide HayashizakiRIKEN Center for Life Science Technologies (Division of Genomic Technologies)
Yoshihide Hayashizaki
Yoshihide HayashizakiRIKEN Center for Life Science Technologies (Division of Genomic Technologies)
Yoshihide Hayashizaki
Alistair R R ForrestRIKEN Center for Life Science Technologies (Division of Genomic Technologies)
Alistair R R ForrestHarry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, the University of Western Australia
Alistair R R ForrestRIKEN Center for Life Science Technologies (Division of Genomic Technologies)
Alistair R R ForrestHarry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, the University of Western Australia
Piero CarninciRIKEN Center for Life Science Technologies (Division of Genomic Technologies)
Piero CarninciRIKEN Center for Life Science Technologies (Division of Genomic Technologies)
Albin SandelinUniversity of Copenhagen
Albin SandelinUniversity of Copenhagen
Albin SandelinUniversity of Copenhagen
Albin SandelinUniversity of Copenhagen
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Datasets

GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link
GTExThe Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project collected and analyzed multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.Link