New York Genome Center

Comprehensive Integration of Single-Cell Data

Single-cell transcriptomics has transformed our ability to characterize cell states, but deep biological understanding requires more than a taxonomic listing of clusters. As new...

Integrated analysis of multimodal single-cell data

ezSingleCell is an interactive and easy-to-use application for the analysis of multiple single-cell and spatial omics data types for biologists. It combines the best-performing ...

Integrating single-cell transcriptomic data across different conditions, technologies, and species

Computational single-cell RNA-seq (scRNA-seq) methods have been successfully applied to experiments representing a single condition, technology, or species to discover and defin...

Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression

Next-generation characterization of the Cancer Cell Line Encyclopedia

Recurring Mutations Found by Sequencing an Acute Myeloid Leukemia Genome

By comparing the sequences of tumor and skin genomes of a patient with AML-M1, we have identified recurring mutations that may be relevant for pathogenesis.

The diploid genome sequence of <i>Candida albicans</i>

We present the diploid genome sequence of the fungal pathogen Candida albicans . Because C. albicans has no known haploid or homozygous form, sequencing was performed as a whole...

Sequence and analysis of chromosome 1 of the plant Arabidopsis thaliana