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He was recognized for his leadership in the development of algorithms for analyzing metagenomic data, particularly in the context of metagenome assembly and identification of structural variants in assembly graphs.

The grant will assist in the development of software that provides a rapid analysis of biological sequence data.

A multi-institutional team that includes Associate Professor Rob Patro (left in photo) and Ph.D. student Dongze He (right) has released a toolkit for the efficient processing of single-cell and single-nucleus RNA sequencing data.

The project was one of five that received seed funding from the UMD Brain and Behavior Institute this year.

The researchers published their work in September in PLOS Computational Biology.

He played a key role as part of a team that developed Sailfish, an open-source software tool for the quantification of gene expression from RNA sequencing data.

Min Wu has been awarded $1.2 million from the National Science Foundation to develop a better understanding of testing for cardiovascular conditions with artificial intelligence.

The paper introduces a new algorithm for efficiently building a compacted de Bruijn graph from collections of input genome or transcriptome sequences.

Her most recent work focuses on investigating a specific neuronal cell type that syncs mammals' sleep/wake cycle—known as circadian rhythm—to the sun cycle.

In research published in the Proceedings of the National Academy of Sciences, researchers have found early, distinct changes that can determine which at-risk infants will develop the autoimmune disease.