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Who are we?
The Vertebrate Genome lab
The Vertebrate Genome Lab (VGL) is a genomic-focused lab at the Rockefeller University. The main goal of the VGL is to serve as one the data production and assembly hubs for the Vertebrate Genomes Project (VGP). We specialize in long-read and long-range sequencing technologies. Our lab hosts several of the latest sequencing technologies as well as computing resources for genome assemblies. Our team is composed of field biologists, molecular biologists, and bioinformaticians encompassing all the required skills and talents for generating high-quality reference genomes.
Our projects
Our interests are in comparative genomics and conservation biology. In addition to the VGP, we are also involved in several projects that require high-quality reference genomes such as the Human Pangenome Project and the COVID-19 Host Genome Structural Variant Consortium.
News
Our latest publications
"Swan genome and transcriptome; it is not all black and white". 2023 Genome Biology. https://doi.org/10.1186/s13059-022-02838-0
"A chromosome-level reference genome and pangenome for barn swallow population genomics". 2023 Cell Genomics. https://doi.org/10.1016/j.celrep.2023.111992
"Differential sensory and immune gene evolution in sea turtles with contrasting demographic and life history". 2023 PNAS. https://doi.org/10.1073/pnas.2201076120
"How genomics can help conservation". 2023 Trend in Genetics https://doi.org/10.1016/j.tig.2023.01.005
Check out our latest preprints
"Recombination suppression and selection affect local ancestries in genomes of a migratory songbird". https://doi.org/10.1101/2021.12.22.473882
The Vertebrate Genomes Project
Generating high-quality and chromosome-level reference genomes for all vertebrates.
The Vertebrate Genomes Project.
The Vertebrate Genomes Project (VGP) aims to create an open-access genome repository cataloging at least one high-quality, near-gapless, chromosome-level, phased, and annotated reference genome assembly for all ~70,000 vertebrate species.
Links
Check out our assemblies in genomeark
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