• Follow us
CGSI
  • Home
  • About
  • Schedule
  • Application
  • Resources
    • In The News
    • Videos
    • CGSI 2024
    • CGSI 2023
    • CGSI 2022
    • CGSI 2021 & CGSI RECOMB
    • CGSI 2020 & CGSI RECOMB
    • CGSI 2019
    • CGWI 2019
    • CGSI 2018
    • CGWI 2018
    • CGSI 2017
    • CGSI 2016
  • FAQ
  • Home
  • About
  • Schedule
  • Application
  • Resources
    • - In The News
    • - Videos
    • - CGSI 2024
    • - CGSI 2023
    • - CGSI 2022
    • - CGSI 2021 & CGSI RECOMB
    • - CGSI 2020 & CGSI RECOMB
    • - CGSI 2019
    • - CGWI 2019
    • - CGSI 2018
    • - CGWI 2018
    • - CGSI 2017
    • - CGSI 2016
  • FAQ

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

Date:August 11, 2016Posted By:Duke Hong
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.

Prev Post
Next Post

Funded by NIH since 2016 – Grant GM135043

IN PARTNERSHIP WITH EDMOND J. SAFRA CENTER FOR BIOINFORMATICS:

AIM AHEAD
Developed by Think Up Themes Ltd. Powered by WordPress.