Adrian Caciula

Senior Programmer Analyst
Phone: 212.342.2295
Fax: 212.342.9044
Email: ac3932@cumc.columbia.edu

EDUCATION & TRAINING

Transilvania University of Brasov, Romania, BS, Electrical Engineering and Computer Science, 2008 
Georgia State University, MS & PhD, Computer Science (Bioinformatics), 2014

Research INTERESTS

Developing, designing and implementing optimization tools for RNA-Seq data analysis

PUBLICATIONS

• A. Caciula, O. Glebova, A. Artyomenko, S. Mangul, J. Lindsay, I. Mandoiu and A. Zelikovsky “Simulated Regression Algorithm for Transcriptome Quantification  from  RNA-Seq Data”, BMC Bioinformatics, 2015, submitted.
• M. Mathew, K. Bean, Y. Temate-Tiagueu, A. Caciula, I. Mandoiu, A. Zelikovsky, N. Lopanik "Influence of symbiont-produced bioactive natural product on holobiont fitness in the marine bryozoan, Bugula neritina", Marine Biology (MABI), 2015, submitted.
• S. Mangul, A. Caciula, O. Glebova, I. Mandoiu and A. Zelikovsky "Improved Transcriptome Quantification and Reconstruction from RNA-Seq Reads using Partial Annotations" , In Silico Biology(ISB), An International Journal on Computational Molecular Biology, pp. 237-249, 2011-2012
• Yang Wang, X. Cao, A. Caciula and Q. Hu, "Batch Scheduling in Optical Networks," IEEE/OSA Journal of Optical Communications and Networking (JOCN), Vol. 5, No. 2, pp. 116-126, 2013
• O. Glebova, Y. Temate-Tiagueu, A. Caciula, S. Al Seesi, A. Artyomenko, S. Mangul, J. Lindsay, I. I. Mandoiu and A. Zelikovsky “Transcriptome quantification and differential expression from NGS data” submitted, 2015, in I. I. Mandoiu and A. Zelikovsky (Eds.), Computational Methods for Next Generation Sequencing Data Analysis. 
• S. Al Seesi, S. Mangul, A. Caciula, A. Zelikovsky and I.I. Mandoiu, Transcriptome reconstruction and quantification from RNA sequencing data, In Maria Poptsova, Genome Analysis: Current Procedures and Applications, Caister Academic Press, pp. 39-60, 2014