11 years ago this summer I participated in an Research Experience for Undergraduates (REU) program in Computer Vision at UCF. This summer marks the 30th time they conducted the program (which is an impressive feat to be able to get 30 years a funding from the NSF). To celebrate they are having a one day event at UCF on 18 July. The REU in 2006 was my first experience with research, and while my interests didn’t lie in computer vision, and it was my first step to my current career path. I am excited to go back to UCF to participate in this celebration.
Event page: here
The journal version of my WABI paper has been accepted for publication in the Algorithms for Molecular Biology journal and will appear there soon. This extended version includes many of the algorithmic details that were left out of the original paper WABI publication as well as an expanded results section. A pre-publication version of the submission is available on my Publications page.
My paper titled “Boosting alignment accuracy by adaptive local realignment” (with John Kececioglu) was accepted to the 21st International Conference on Research in Computational Molecular Biology (RECOMB) 2017 in Hong Kong in May. The paper is available here.
The votes are in, and I have been elected the ISCB Student Council Representative to the ISCB Board of Directors. This role is to be the liaison between the executive team of the student council and the board directors of the ISCB (our parent organization). I will officially take the post in January but I am already looking forward to further strengthening the cooperation between ISCB and the student council. Thank you all who voted!
The paper describing a software package I created with Jennifer H. Wisecaver (now at Vanderbilt University) while we were both PhD students at the University of Arizona has been accepted for publication in the journal PeerJ. Even as a preprint on arXiv it was cited multiple times (included by papers in Nature Communications and PNAS).
The application SiClE (for Sister Clade Extractor) was created to perform high-throughput phylogenetic analysis. Given a tree and a search term it first determines if the search term is monophyletic in the tree then identifies the two sister clades. It has been used successfully as an initial filtering step to investigate horizontal gene transfer at the high-throughput scale. The program is open source and freely available under a Creative Commons License at http://eebweb.arizona.edu/sicle/.
Read the paper at https://peerj.com/articles/2359/.