Patrick Phaneuf

About Patrick Phaneuf

Patrick Phaneuf, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at University of California, San Diego, specializes in the field of Systems Biology.

His recent articles reflect a diverse array of research interests and contributions to the field:

BGCFlow: Systematic pangenome workflow for the analysis of biosynthetic gene clusters across large genomic datasets

Pangenome mining of theStreptomycesgenus redefines their biosynthetic potential

Reconstructing the transcriptional regulatory network of probiotic L. reuteri is enabled by transcriptomics and machine learning

Pangenome mining of the Streptomyces genus redefines their biosynthetic potential

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

Using the E. coli Alleleome in Strain Design

Whole-genome sequences from wild-type and laboratory-evolved strains define the alleleome and establish its hallmarks

Laboratory evolution reveals general and specific tolerance mechanisms for commodity chemicals

Patrick Phaneuf Information

University

Position

___

Citations(all)

662

Citations(since 2020)

628

Cited By

215

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

15

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

Patrick Phaneuf Skills & Research Interests

Systems Biology

Top articles of Patrick Phaneuf

BGCFlow: Systematic pangenome workflow for the analysis of biosynthetic gene clusters across large genomic datasets

bioRxiv

2023

Pangenome mining of theStreptomycesgenus redefines their biosynthetic potential

2024/2/22

Reconstructing the transcriptional regulatory network of probiotic L. reuteri is enabled by transcriptomics and machine learning

Msystems

2024/2/13

Pangenome mining of the Streptomyces genus redefines their biosynthetic potential

bioRxiv

2024

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

Cell reports

2023/9/26

Using the E. coli Alleleome in Strain Design

bioRxiv

2023/9/17

Patrick Phaneuf
Patrick Phaneuf

H-Index: 8

Whole-genome sequences from wild-type and laboratory-evolved strains define the alleleome and establish its hallmarks

Proceedings of the National Academy of Sciences

2023/4/11

Patrick Phaneuf
Patrick Phaneuf

H-Index: 8

Jonathan Monk
Jonathan Monk

H-Index: 23

Laboratory evolution reveals general and specific tolerance mechanisms for commodity chemicals

Metabolic Engineering

2023/3/1

Genomic insights into Lactobacillaceae: Analyzing the Alleleome of core pangenomes for enhanced understanding of strain diversity and revealing Phylogroup-specific unique variants

bioRxiv

2023

Pangenome reconstruction of Lactobacillaceae metabolism predicts species-specific metabolic traits

bioRxiv

2023

Data-Driven Strain Design Towards Mitigating Biomanufacturing Stresses

bioRxiv

2023

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

bioRxiv

2022/12/23

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

Nature communications

2022/6/27

Laboratory-acquired mutations fall outside the wild-type alleleome of Escherichia coli

bioRxiv

2022/4/6

Escherichia coli Data-Driven Strain Design Using Aggregated Adaptive Laboratory Evolution Mutational Data

ACS Synthetic Biology

2021/11/11

iModulonDB: a knowledgebase of microbial transcriptional regulation derived from machine learning

Nucleic acids research

2021/1/8

Causal mutations from adaptive laboratory evolution are outlined by multiple scales of genome annotations and condition-specificity

BMC genomics

2020/12

The Bitome: digitized genomic features reveal fundamental genome organization

Nucleic Acids Research

2020/10/9

Synthetic cross-phyla gene replacement and evolutionary assimilation of major enzymes

Nature ecology & evolution

2020/10

See List of Professors in Patrick Phaneuf University(University of California, San Diego)

Co-Authors

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