Arun Das

SEngEAR is a web platform for annotating senescent cells, visualizing communication networks, and comparing senescence signatures across datasets and contexts.

T2T-HG002v1.1, a complete diploid HG002 assembly lacking detectable errors over 99.4% of its length, enables genome-based benchmarking of assemblies, sequencing reads, and phased variant calls.

The paper assembles unmapped reads from South Asian genomes to reveal hidden genetic variation not captured by traditional reference-based methods.

The paper introduces sampling and sketching methods for fast and accurate long read classification, showing they can identify microbial sources and distinguish target from contaminant reads effectively.

Sapling improves sequence alignment speed by using a learned data model to enhance suffix array queries, outperforming existing methods on various genomes.