Yufeng Wu

Associate Professor
Computer Science and Engineering Department
University of Connecticut
371 Fairfield Road, Unit. 2155
Storrs, CT 06269,  U.S.A.
Phone: +1 (860) 486-2234
Email: ywu (AT) engr.uconn.edu

PhD, University of California, Davis, 2007.

I am an associate professor at Computer Science and Engineering Department, University of Connecticut. My research is on Computational Biology and Bioinformatics. Currently, my research is mainly on computational problems in population genomics. I am also interested in other problems including phylogenetics and high-throughput sequencing. Here is a brief bio of myself.

Courses       [Link]

Publications [Link]

Talks [Link]

Research Group [Link]


        STELLS                Software accompaniment for my paper (Evolution, 2012)
                                     "Coalescent-based Species Tree Inference from Gene Tree Topologies Under Incomplete Lineage Sorting by Maximum Likelihood".
                                     There is also an extension called STELLSH which infers population split history from haplotypes.

        STELLS2              Software accompaniment for the paper (Bioinformatics, in press, 2017)
                                     "STELLS2: Fast and Accurate Coalescent-based Maximum Likelihood Inference of Species Trees from Gene Tree Topologies"
                                     by Jingwen Pei and Yufeng Wu
                                     This paper develops an improved method for species tree inference on coalescents
                                     that is much faster than the original STELLS.

        RENT                    Software accompaniment for my TCBB paper (preprint): inferring local trees with recombinant population sequences.
        RENTPlus             New on November 20, 2015. Software accompaniment for:
                                      "RENT+: An Improved Method for Inferring Local Genealogical Trees from Haplotypes with Recombination"
                                      by Sajad Mirzaei and Yufeng Wu, Bioinformatics, in press, 2016. This paper improves RENT significantly.

        REPdenovo           Software for constructing consensus repeats directly from sequence reads without reference genomes or annotation.
                                      Paper: "REPdenovo: Inferring de novo repeat motifs from short sequence reads", PLoS One, 2016.

        SVseq                   Software accompaniment for our paper (with my student Jin Zhang, Bioinformatics, 2012)
                                     "SVseq: an approach for detecting exact breakpoints of deletions with low-coverage sequence data"

PIRN (v2.0)           A software program for constructing parsimonious hybridization networks, which was developed in:
Close Lower and Upper Bounds for the Minimum Reticulate Network of Multiple Phylogenetic Trees
                                     10/4/2012: Updated to version 2.0, which supports an approach for building exact parsimonious network for multiple trees.
                                     10/28/2015: released a new software tool called PIRNs, which works better with large number of gene trees.

Older software tools

Professional Services

Associate Editor, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2013-now

Program committee members

2017: ISBRA 2017
2016: ISBRA 2016, BIBM 2016, ICCABS 2016.
2015: ISBRA 2015, BIBM 2015, ICCABS 2015.
2014: ISBRA 2014, BIBM 2014.
2013: ISMB/ECCB 2013, ACM BCB 2013, 
ISBRA 2013
2012: RECOMB 2012, ISMB 2012,  ISBRA 2012
2011: BICoB 2011, ISBRA 2011
2010: ISMB 2010, CPM 2010, BICoB 2010, ISBRA 2010, BIBM 2010
2009: ISMB/ECCB 2009BICoB 2009, BIBM 2009,ISBRA 2009
2008: ISBRA 2008, BIBM 2008
2007: BIBM 2007