Peter E. Larsen

发表

Using next generation transcriptome sequencing to predict an ectomycorrhizal metabolome

Avinash Sreedasyam, Frank Collart, Peter E. Larsen, 2011, BMC Systems Biology.

Likelihood of interaction for a pair of GO MF annotations

Eyad Almasri, Yang Dai, Peter E. Larsen, 2011 .

Incorporating Knowledge of Topology Improves Reconstruction of Interaction Networks from Microarray Data

Eyad Almasri, Yang Dai, Peter E. Larsen, 2008, ISBRA.

Incorporating Literature Knowledge in Bayesian Network for Inferring Gene Networks with Gene Expression Data

Eyad Almasri, Yang Dai, Peter E. Larsen, 2008, ISBRA.

A statistical method to incorporate biological knowledge for generating testable novel gene regulatory interactions from microarray experiments

Eyad Almasri, Yang Dai, Peter E. Larsen, 2007, BMC Bioinformatics.

Using metabolomic and transportomic modeling and machine learning to identify putative novel therapeutic targets for antibiotic resistant Pseudomonad infections

Yang Dai, Peter E. Larsen, Frank R. Collart, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Rank-based edge reconstruction for scale-free genetic regulatory networks

Eyad Almasri, Yang Dai, Peter E. Larsen, 2008, BMC Bioinformatics.

Using Gene Expression Modeling to Determine Biological Relevance of Putative Regulatory Networks

Yang Dai, Peter E. Larsen, Yang Dai, 2009, ISBRA.

Incorporating Network Topology Improves Prediction of Protein Interaction Networks from Transcriptomic Data

Yang Dai, Frank Collart, Peter E. Larsen, 2010, Int. J. Knowl. Discov. Bioinform..

More of an Art than a Science: Using Microbial DNA Sequences to Compose Music†

Peter E. Larsen, 2016, Journal of microbiology & biology education.

Nanomechanical Pyrolytic Carbon Resonators: Novel Fabrication Method and Characterization of Mechanical Properties

Silvan Schmid, Anja Boisen, Stephan Sylvest Keller, 2016, Sensors.

Modeling the Pseudomonas Sulfur Regulome by Quantifying the Storage and Communication of Information

Yang Dai, Peter E. Larsen, Frank R. Collart, 2018, mSystems.

Predicted Relative Metabolomic Turnover - Predicting Changes in the Environmental Metabolome from the Metagenome

Folker Meyer, Jack A. Gilbert, Frank Collart, 2016, BIOINFORMATICS.

Statistical Tools for Study Design: Replication

Peter E. Larsen, 2015 .

Predicted Relative Metabolomic Turnover (PRMT): determining metabolic turnover from a coastal marine metagenomic dataset

Kevin P. Keegan, Peter E. Larsen, J. Gilbert, 2011, Microbial Informatics and Experimentation.

Satellite remote sensing data can be used to model marine microbial metabolite turnover

Peter E. Larsen, R. Knight, J. Gilbert, 2014, The ISME Journal.

Toward Linking Aboveground Vegetation Properties and Soil Microbial Communities Using Remote Sensing

Peter E. Larsen, J. Gilbert, Y. Hamada, 2014 .

The lichen symbiosis re-viewed through the genomes of Cladonia grayi and its algal partner Asterochloris glomerata

Peter E. Larsen, Nimrod D. Rubinstein, M. Pellegrini, 2019, BMC Genomics.

Microbial community assembly and metabolic function during mammalian corpse decomposition

Matthew J. Gebert, David O. Carter, Se Jin Song, 2016, Science.

Predicting bacterial community assemblages using an artificial neural network approach

Peter E. Larsen, J. Gilbert, D. Field, 2012, Nature Methods.

Metagenomic covariation along densely sampled environmental gradients in the Red Sea

Luke R. Thompson, Peter E. Larsen, R. Knight, 2016, The ISME Journal.

Predicting bacterial community assemblages using an artificial neural network approach.

Peter E. Larsen, Yang Dai, F. Collart, 2012, Methods in molecular biology.

Bacterial colonization and succession in a newly opened hospital

Peter E. Larsen, R. Knight, B. Shakhsheer, 2017, Science Translational Medicine.

Modeling microbial community structure and functional diversity across time and space.

Sean M Gibbons, Peter E. Larsen, Jack A Gilbert, 2012, FEMS microbiology letters.

Inactivation of the microRNA-183/96/182 cluster results in syndromic retinal degeneration

Peter E. Larsen, D. Zack, D. Valle, 2013, Proceedings of the National Academy of Sciences.

Predicting Ecological Roles in the Rhizosphere Using Metabolome and Transportome Modeling

Yang Dai, Peter E. Larsen, Frank R. Collart, 2015, PloS one.

Metabolome of human gut microbiome is predictive of host dysbiosis

Yang Dai, Peter E. Larsen, Yang Dai, 2015, GigaScience.

Modeling forest ecosystem responses to elevated carbon dioxide and ozone using artificial neural networks.

Peter E. Larsen, Leland J. Cseke, Frank R. Collart, 2014, Journal of theoretical biology.

Structural learning of genetic regulatory networks based on prior biological knowledge and microarray gene expression measurements

Peter E. Larsen, Yang Dai, E. Almasri, 2009 .

Pseudomonas fluorescens increases mycorrhization and modulates expression of antifungal defense response genes in roots of aspen seedlings

Peter E. Larsen, F. Collart, P. Noirot, 2019, BMC Plant Biology.

Multi-Omics Approach Identifies Molecular Mechanisms of Plant-Fungus Mycorrhizal Interaction

Peter E. Larsen, Yang Dai, F. Collart, 2016, Front. Plant Sci..

Pseudomonas fluorescens Transportome Is Linked to Strain-Specific Plant Growth Promotion in Aspen Seedlings under Nutrient Stress

Peter E. Larsen, F. Collart, P. Noirot, 2017, Front. Plant Sci..

Peter E. Larsen, Yang Dai, E. Almasri, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Sample Scale-Free Gene Regulatory Network Using Gene Ontology

Peter E. Larsen, Yang Dai, E. Almasri, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Modeling interaction networks between host, diet, and bacteria predicts obesogenesis in a mouse model

Peter E. Larsen, Yang Dai, 2022, Frontiers in Molecular Biosciences.

A communal catalogue reveals Earth’s multiscale microbial diversity

Rick L. Stevens, William A. Walters, Nicole M. Gaudelli, 2017, Nature.

Pseudomonas fluorescens increases mycorrhization and modulates expression of antifungal defense response genes in roots of aspen seedlings

Peter E. Larsen, F. Collart, P. Noirot, 2019, BMC Plant Biology.

Predicting the Plant Root-Associated Ecological Niche of 21 Pseudomonas Species Using Machine Learning and Metabolic Modeling

Peter E. Larsen, Jennifer Chien, 2017, 1701.03220.

Longitudinal analysis of microbial interaction between humans and the indoor environment

Rob Knight, Jessica L. Metcalf, Will Van Treuren, 2014, Science.

Environmental Sources of Bacteria Differentially Influence Host-Associated Microbial Dynamics

Peter E. Larsen, J. Gilbert, S. Lax, 2018, mSystems.

Using Deep RNA Sequencing for the Structural Annotation of the Laccaria Bicolor Mycorrhizal Transcriptome

Peter E. Larsen, F. Collart, A. Sreedasyam, 2010, PloS one.

CRISPR interference to interrogate genes that control biofilm formation in Pseudomonas fluorescens

Peter E. Larsen, M. Noirot-Gros, P. Noirot, 2019, Scientific Reports.

Interrogation of genes controlling biofilm formation using CRISPR interference in Pseudomonas fluorescens

Peter E. Larsen, M. Noirot-Gros, P. Noirot, 2018, bioRxiv.

Dynamics of Aspen Roots Colonization by Pseudomonads Reveals Strain-Specific and Mycorrhizal-Specific Patterns of Biofilm Formation

Peter E. Larsen, M. Noirot-Gros, P. Noirot, 2018, Front. Microbiol..

Machine-learning from Pseudomonas putida KT2440 transcriptomes reveals its transcriptional regulatory network.

Adam M. Feist, Peter E. Larsen, Anand V. Sastry, 2022, Metabolic engineering.

Ccr4 Promotes Resolution of the Endoplasmic Reticulum Stress Response during Host Temperature Adaptation in Cryptococcus neoformans

Peter E. Larsen, J. Djordjevic, J. Panepinto, 2011, Eukaryotic Cell.

Creating a predictive model of microbially mediated carbon remediation in the Gulf of Mexico

Peter E. Larsen, J. Gilbert, R. Malmstrom, 2013 .

Detecting personal microbiota signatures at artificial crime scenes.

Peter E. Larsen, J. Gilbert, S. Lax, 2020, Forensic science international.

Bacterial colonization and succession in a newly opened hospital

Peter E. Larsen, Jennifer R. Defazio, K. Guyton, 2017, Science Translational Medicine.