scispace - formally typeset
V

Victor Guryev

Researcher at University Medical Center Groningen

Publications -  180
Citations -  12082

Victor Guryev is an academic researcher from University Medical Center Groningen. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 45, co-authored 148 publications receiving 9851 citations. Previous affiliations of Victor Guryev include Royal Netherlands Academy of Arts and Sciences & Utrecht University.

Papers
More filters
Journal ArticleDOI

Phylogenetic Shadowing and Computational Identification of Human microRNA Genes

TL;DR: In this paper, the authors sequenced 122 miRNAs in 10 primate species to reveal conservation characteristics of miRNA genes, including stems of miRN hairpins and increased variation in loop sequences.
Journal ArticleDOI

Whole-genome sequence variation, population structure and demographic history of the Dutch population

Laurent C. Francioli, +91 more
- 01 Jun 2014 - 
TL;DR: The Genome of the Netherlands (GoNL) Project is described, in which the whole genomes of 250 Dutch parent-offspring families were sequenced and a haplotype map of 20.4 million single-nucleotide variants and 1.2 million insertions and deletions were constructed.
Journal ArticleDOI

Eleven grand challenges in single-cell data science

David Lähnemann, +71 more
- 07 Feb 2020 - 
TL;DR: This compendium is for established researchers, newcomers, and students alike, highlighting interesting and rewarding problems for the coming years in single-cell data science.
Journal ArticleDOI

Transcription factor achaete scute-like 2 controls intestinal stem cell fate.

TL;DR: The combined results from these gain- and loss-of-function experiments imply that Ascl2 controls intestinal stem cell fate, and this gene signature is the Wnt target Achaete scute-like 2 (Ascl2).
Journal ArticleDOI

Multi-platform discovery of haplotype-resolved structural variation in human genomes

Mark Chaisson, +107 more
TL;DR: A suite of long-read, short- read, strand-specific sequencing technologies, optical mapping, and variant discovery algorithms are applied to comprehensively analyze three trios to define the full spectrum of human genetic variation in a haplotype-resolved manner.