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Alex Zelikovsky | Inference of metabolic pathway activity from metatranscriptomic reads | CGSI 2017

Date:July 14, 2017Posted By:Duke Hong
Alex Zelikovsky | Inference of metabolic pathway activity from metatranscriptomic reads | CGSI 2017

07/14/2017 @ 13:30-14:15
Research Talk by Alex Zelikovsky
Inference of metabolic pathway activity from metatranscriptomic reads
1. Temate-Tiagueu, Y., Al Seesi, S., Mathew, M., Mandric, I., Rodriguez, A., Bean, K., Cheng, Q., Glebova, O., Măndoiu, I., Lopanik, N.B. and Zelikovsky, A., 2016. Inferring metabolic pathway activity levels from RNA-Seq data. BMC genomics, 17(5), p.542.
2. Mathew, M., Bean, K.I., Temate-Tiagueu, Y., Caciula, A., Mandoiu, I.I., Zelikovsky, A. and Lopanik, N.B., 2016. Influence of symbiont-produced bioactive natural products on holobiont fitness in the marine bryozoan, Bugula neritina via protein kinase C (PKC). Marine biology, 163(2), pp.1-17.
3. Glebova, O., Temate‐Tiagueu, Y., Caciula, A., Al Seesi, S., Artyomenko, A., Mangul, S., Lindsay, J., Măndoiu, I.I. and Zelikovsky, A., 2016. Transcriptome Quantification and Differential Expression from NGS Data. Computational Methods for Next Generation Sequencing Data Analysis, pp.301-327.
4. Nicolae, M., Mangul, S., Măndoiu, I.I. and Zelikovsky, A., 2011. Estimation of alternative splicing isoform frequencies from RNA-Seq data. Algorithms for molecular biology, 6(1), p.9.

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