Next generation sequencing
Our group is developing accurate and efficient algorithms and software tools to analyze next generation sequencing data and answer questions in biology and medicine.
About us
Our group is developing computational methods to model and solve problems in biology and medicine, fueled by the wealth of sequence data generated by new and evolving sequencing technologies. We design accurate and efficient algorithms and software tools to tackle current problems in genome assembly, gene and alternative splicing annotation, microRNA genomics and host-pathogen interaction, and apply them to characterize the genetic and genomic landscape of different cellular states and different organisms.
Find out more about our methods at our GitHub Splicebox repository and from our Software pages.
Our work is currently being supported by NIH grant R01GM129085.
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