David Koslicki | Bacterial Community Reconstruction via Compressed Sensing | CGSI 2016

08/11/2016 @ 09:30-10:30
Tutorial by David Koslicki
Bacterial Community Reconstruction via Compressed Sensing
1. Candès, E.J. and Wakin, M.B., 2008. An introduction to compressive sampling. IEEE signal processing magazine, 25(2), pp.21-30.
2. Koslicki, D., Foucart, S. and Rosen, G., 2013. Quikr: a method for rapid reconstruction of bacterial communities via compressive sensing. Bioinformatics, p.btt336.
3. Chatterjee, S., Shahrivar, D., Koslicki, D., Walker, A.W., Francis, S.C., Fraser, L.J., Vehkapera, M., Lan, Y. and Corander, J., 2005. ARK: Aggregation of Reads by K-means for Estimation of Bacterial Community Composition. PLoS One, forthcoming.
4. Chatterjee, S., Koslicki, D., Dong, S., Innocenti, N., Cheng, L., Lan, Y., Vehkaperä, M., Skoglund, M., Rasmussen, L.K., Aurell, E. and Corander, J., 2014. SEK: sparsity exploiting k-mer-based estimation of bacterial community composition. Bioinformatics, 30(17), pp.2423-2431.