The Knight Lab submitted a video entry to the NIH Common Fund Video Contest showing how our work helped rescue researchers from an avalanche of data! To view the video,
Rob presented on March 19 in the session entitled “US” as part of this year’s TED Conference in Vancouver, BC. Read TED’s recap here: http://blog.ted.com/2014/03/19/how-microbes-could-cure-disease-rob-knight-at-ted2014/
As microbial ecologists continue to take advantage of high-throughput analytical techniques to describe microbial communities across ever-increasing numbers of samples, the need for new analysis tools that reveal the intrinsic
Evident is a web-based software tool with an interactive user interface, implemented in HTML, Web Graphics Library, mod_python and QIIME. The interface of Evident provides: (i) parameter selection (i.e., study
EMPeror is an interactive next generation tool for the analysis, visualization and understanding of high throughput microbial ecology datasets. Due to its tailor-made graphical user interface, delving into a new
QIIME (pronounced “chime”) stands for Quantitative Insights Into Microbial Ecology. QIIME is an open source software package for comparison and analysis of microbial communities, primarily based on high-throughput amplicon sequencing
Qiita (canonically pronounced cheetah) is the QIIME database effort to enable rapid analysis of microbial ecology datasets. The Qiita repository is responsible for defining the data model and the Python
tax2tree is a tool for automatically decorating taxonomy onto a phylogenetic tree. An improved Greengenes taxonomy with explicit ranks for ecological and evolutionary analyses of bacteria and archaea. McDonald D,
An important component of our research is the development of new bioinformatic tools and resources to facilitate processing, analysis, and visualization of large data sets. Our software tools are available
Exploration of environmental and host-associated microbiota relies on robust, high-throughput molecular and microbiological techniques to produce high-quality reproducible data. To support our projects, there are on-going development efforts to establish
