Joseph P. Bielawski

发表

Maximum likelihood methods for detecting adaptive evolution after gene duplication. Gene and Genome Duplications and the Origin of Novel Gene Functions

Ziheng Yang, Joseph P. Bielawski, Ziheng Yang, 2003 .

Looking for Darwin in Genomic Sequences: Validity and Success Depends on the Relationship Between Model and Data.

Edward Susko, Joseph P. Bielawski, Christopher T. Jones, 2019, Methods in molecular biology.

Likelihood-based clustering (LiBaC) for codon models

Hong Gu, Joseph P. Bielawski, Katherine A. Dunn, 2012 .

Maximum Likelihood Methods for Detecting Adaptive Protein Evolution

Ziheng Yang, Joseph P. Bielawski, Ziheng Yang, 2005 .

Corrigendum "Portal protein diversity and phage ecology"

Sallie W. Chisholm, Matthew B. Sullivan, Joseph P. Bielawski, 2011 .

BiomeNet: A Bayesian Model for Inference of Metabolic Divergence among Microbial Communities

Hong Gu, Hugh A. Chipman, Mahdi Shafiei, 2014, PLoS Comput. Biol..

The role of purifying selection in the origin and maintenance of complex function.

W. Ford Doolittle, Joseph P. Bielawski, Tyler D.P. Brunet, 2021, Studies in history and philosophy of science.

Multi-omics differentially classify disease state and treatment outcome in pediatric Crohn’s disease

Richard Hansen, Gavin M. Douglas, Joseph P. Bielawski, 2018, Microbiome.

Trade-Offs Between Efficiency and Robustness in Bacterial Metabolic Networks Are Associated with Niche Breadth

Melissa J. Morine, Hong Gu, Ransom A. Myers, 2009, Journal of Molecular Evolution.

Maximum likelihood methods for detecting adaptive evolution after gene duplication

Joseph P. Bielawski, Ziheng Yang, Ziheng Yang, 2004, Journal of Structural and Functional Genomics.

Additional file 1: of Multi-omics differentially classify disease state and treatment outcome in pediatric Crohn’s disease

Johan Van Limbergen, Richard Hansen, Gavin M. Douglas, 2018 .

Widespread Adaptive Evolution in the Human Immunodeficiency Virus Type 1 Genome

Joseph P. Bielawski, Ziheng Yang, Ziheng Yang, 2003, Journal of Molecular Evolution.

The accuracy and power of likelihood ratio tests to detect positive selection at amino acid sites

Maria Anisimova, Joseph P. Bielawski, Ziheng Yang, 2001 .