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.
Our work is currently being supported by NIH grant R01GM129085.
- 8/2023 - Abstract on MntJULiP and Jutils for discovery of differential splicing events in complex data with covariates was accepted at ASHG 2023 (with Edward Wui Wang Lui and Guangyu Yang)
- 7/2023 - Talk on differential splicing analysis of human data with MntJULiP at SPLICING2023, Caparica, Portugal
- 7/2023 - Collaborative paper on the transcriptomics of the interaction of B. burgdorferi and human dendritic cells (Mark Soloski's lab)
- 5/2023 - Talk on our Deep Learning model of Alu exonization at WMESA2023, Penn State University
- 4/2023 - Collaborative paper on a mouse model of Down syndrome (Roger Reeves' lab)
- 9/2022 - Paper describing our differential splicing detection tool MntJULiP appeared in Genome Biology (with Guangyu Yang and Sarven Sabunciyan)
- 5/2022 - Poster on Alu exonization prediction using a Deep Learning model, at the CSHL's Biology of Genomes Meeting (with Zitong He)
- 11/2021 - Poster on our Probabilistic Deep Learning (PDL) model of alternative splicing, at the CSHL's (Virtual) Genome Informatics Meeting (with Guangyu Yang and Zitong He)
- 8/2021 - Our paper on Alubaster and Alu exonization events in frontal cortex appears in Frontiers Molecular Biosciences (with Kathy Burns, Lindsay Payer, Corina Antonescu and Guangyu Yang)
- 5/2021 - Jutils paper on alternative splicing visualization tools is accepted in Bioinformatics (with Guangyu Yang, Leslie Cope and Zitong He)
- 3/2021 - Zoom talk at University of Texas Southwestern, Department of Bioinformatics, Dallas, TX