The Genotype-Tissue Expression (GTEx) Project

By Latarsha J. Carithers, Helen M. Moore. Biopreservation and Biobanking, 2015

605 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/d766df97e2e7459aa55c3747597482d2957701f9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. Serafim Batzoglou
2. J. Kosmicki
3. Kyle Kai-How Farh

In Molecular Biology

1. Tiago C. Silva
2. Gianluca Bontempi
3. David G. Knowles
4. M. Lucchetta
5. Elena Papaleo
6. Antonio Colaprico
7. Serafim Batzoglou
8. Catharina Olsen

Citations in the corpus

• Predicting Splicing from Primary Sequence with Deep Learning. (2019, background): “…149 individuals with both RNA-seq and whole-genome sequencing from the Genotype-Tissue Expression (GTEx) cohort (The GTEx Consortium et al., 2015; Lonsdale et al., 2013), we identified novel exons that were private to a single individual, and corresponded to a private splice site-creating genetic…”
• New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx (2019, methodology): “In cases where the investigator is not interested in correcting for batch effects with ComBat or this step is discouraged for the downstream analyses, the voom (an acronym for variance modeling at the observational level) transformation can be applied to carry out normal-based statistics on RNA-Seq ”