William J. Riehl

Signatures of Arithmetic Simplicity in Metabolic Network Architecture

Paul L. Krapivsky, Sidney Redner, Daniel Segrè, 2009, PLoS Comput. Biol..

The DOE Systems Biology Knowledgebase (KBase)

Fangfang Xia, Rick Stevens, Mark Gerstein, 2016, bioRxiv.

Metabolic resource allocation in individual microbes determines ecosystem interactions and spatial dynamics.

Alex H. Lang, William J. Riehl, William R. Harcombe, 2014, Cell reports.

KBase: The United States Department of Energy Systems Biology Knowledgebase

Rick L. Stevens, James J. Davis, Kevin P. Keegan, 2018, Nature Biotechnology.

Arithmetic simplicity beneath metabolic network architecture

William J. Riehl, S. Redner, P. Krapivsky, 2009 .

RegPrecise 3.0 – A resource for genome-scale exploration of transcriptional regulation in bacteria

William J. Riehl, A. Arkin, I. Dubchak, 2013, BMC Genomics.

KBase: A Platform for Reproducible Bioinformatics Research

William J. Riehl, R. S. Canon, Boris Sadkhin, 2019, 2019 IEEE/ACM International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC (CANOPIE-HPC).

Metagenome-assembled genome extraction and analysis from microbiomes using KBase

Paramvir S. Dehal, William J. Riehl, Michael W. Sneddon, 2022, Nature Protocols.

A metabolic modeling platform for the computation of microbial ecosystems in time and space (COMETS)

William J. Riehl, William R. Harcombe, Alan R. Pacheco, 2021, Nature Protocols.