Cameron R. Lamoureux

发表

The Bitome: digitized genomic features reveal fundamental genome organization

Zachary A. King, Anand V. Sastry, Troy E. Sandberg, 2020, Nucleic acids research.

Optimal dimensionality selection for independent component analysis of transcriptomic data

Anand V. Sastry, B. Palsson, S. Poudel, 2021, BMC Bioinformatics.

A multi-scale transcriptional regulatory network knowledge base for Escherichia coli

Daniel C. Zielinski, Anand V. Sastry, B. Palsson, 2021, bioRxiv.

Optimal dimensionality selection for independent component analysis of transcriptomic data

Anand V. Sastry, B. Palsson, S. Poudel, 2021, BMC Bioinformatics.

Machine Learning Uncovers a Data-Driven Transcriptional Regulatory Network for the Crenarchaeal Thermoacidophile Sulfolobus acidocaldarius

Anand V. Sastry, B. Palsson, S. Poudel, 2021, bioRxiv.

Mining all publicly available expression data to compute dynamic microbial transcriptional regulatory networks

Anand V. Sastry, Zachary B. Haiman, B. Palsson, 2021, bioRxiv.

Laboratory evolution of synthetic electron transport system variants reveals a larger metabolic respiratory system and its plasticity

Adam M. Feist, Connor A. Olson, A. Feist, 2022, Nature Communications.

Anand V. Sastry, B. Palsson, Ye Gao, 2023 .

Lab evolution, transcriptomics, and modeling reveal mechanisms of paraquat tolerance

Adam M. Feist, Anand V. Sastry, Connor A. Olson, 2022, bioRxiv.

Machine Learning of All Mycobacterium tuberculosis H37Rv RNA-seq Data Reveals a Structured Interplay between Metabolism, Stress Response, and Infection

Anand V. Sastry, B. Palsson, S. Poudel, 2021, bioRxiv.

Machine learning uncovers the Pseudomonas syringae transcriptome in microbial communities and during infection

Anand V. Sastry, Kevin Rychel, Cameron R. Lamoureux, 2023, bioRxiv.

Quantitative sequence basis for the E. coli transcriptional regulatory network

Daniel C. Zielinski, D. Zielinski, Cameron R. Lamoureux, 2022, bioRxiv.

Machine learning uncovers the Pseudomonas syringae transcriptome in microbial communities and during infection

Anand V. Sastry, Kevin Rychel, Cameron R. Lamoureux, 2023, bioRxiv.

Elucidation of independently modulated genes in Streptococcus pyogenes reveals carbon sources that control its expression of hemolytic toxins

Daniel C. Zielinski, Anand V. Sastry, V. Nizet, 2022, bioRxiv.

A multi-scale expression and regulation knowledge base for Escherichia coli

Daniel C. Zielinski, Anand V. Sastry, Ye Gao, 2023, Nucleic acids research.

Laboratory evolution, transcriptomics, and modeling reveal mechanisms of paraquat tolerance.

Adam M. Feist, Anand V. Sastry, Connor A. Olson, 2023, Cell Reports.

Inferred regulons are consistent with regulator binding sequences in E. coli

Daniel C. Zielinski, Cameron R. Lamoureux, Amir Akbari, 2024, PLoS Computational Biology.

Diagnosis and mitigation of the systemic impact of genome reduction in Escherichia coli DGF-298.

Adam M. Feist, Anand V. Sastry, Frédéric Grenier, 2024, mBio.