Optimizing sequencing protocols for leaderboard metagenomics by combining long and short reads
As metagenomic studies move to increasing numbers of samples, communities like the human gut may benefit more from the assembly of abundant microbes in many samples, rather than the exhaustive assembly of fewer samples.
Evaluating Metagenomic Prediction of the Metaproteome in a 4.5-Year Study of a Patient with Crohn’s Disease
mSystems 4:e00337-18. (2019).
Metagenomics-Based, Strain-Level Analysis of Escherichia coli From a Time-Series of Microbiome Samples From a Crohn’s Disease Patient
Frontiers in Microbiology. Vol 9, article 2559. (2018).The Emerging Global Collaboratory for Microbial Metagenomics Researchers
Invited Talk Delivered From Calit2@UCSD Monash University MURPA Lecture Melbourne, Australia
Building an OptIPlanet collaboratory to support microbial metagenomics
Future Generation Computer Systems, Volume 25, Issue 2, pp. 124-131. February 2009.