Govinda M. Kamath

This paper introduces a service for automated cell type annotation in scRNA-seq data using reverse search against a curated database, providing both fine-grained and coarse annotations without relying on predefined markers.

crispr2vec predicts off-target cuts of CRISPR systems using a deep metric learning model trained on sgRNA sequences.

This paper introduces Spectral Jaccard Similarity, a method to estimate pairwise sequence alignments by addressing k-mer distribution biases, showing improved performance on PacBio reads.

The paper introduces a framework to correct differential expression analysis after clustering in single-cell RNA-Seq to avoid false discoveries caused by clustering-induced biases.

HINGE improves repeat resolution in long-read genome assembly by distinguishing resolvable from unresolvable repeats, producing more finished assemblies than existing methods.

This paper introduces a fast and accurate method for single-cell RNA-Seq analysis by clustering transcript-compatibility counts, showing it is faster and more broadly applicable than existing approaches.