Author

G. Birzu

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Evolutionary Biology· 2 Microbiology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Assay:metagenomics· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

K. S. Korolev· 2 shared O. Hallatschek· 2 shared C. DeLisi· 1 shared D. Bhaya· 1 shared D. Goudeau· 1 shared D. Kishore· 1 shared D. S. Fisher· 1 shared D. Segre· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersEvolutionary Biology

K. S. Korolev

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Hybridization breaks species barriers in long-term coevolution of a cyanobacterial population

G. Birzu, H. Subrahmaniam Muralidharan, D. Goudeau, R. Malmstrom, D. S. Fisher, D. Bhaya

The paper shows that hybridization drives genomic diversity in a cyanobacterial population despite ecological barriers, challenging the idea that such barriers prevent long-term genomic mixing.

bioRxiv · Jun 6, 2023Microbiology

Genealogical structure changes as range expansions transition from pushed to pulled

G. Birzu, O. Hallatschek, K. S. Korolev

This paper shows range expansions generate a spectrum of coalescent topologies, with differences between pulled and pushed expansions due to growth cooperativity and front dynamics.

bioRxiv · Dec 29, 2020Evolutionary Biology

Inferring microbial co-occurrence networks from amplicon data: a systematic evaluation

D. Kishore, G. Birzu, Z. Hu, C. DeLisi, K. Korolev, D. Segre

This study evaluates how different tools and parameters affect microbial co-occurrence network inference from 16S amplicon data and develops a standardized pipeline.

bioRxiv · Sep 23, 2020 · PreprintMicrobiology

Genetic drift in range expansions is very sensitive to density feedback in dispersal and growth

G. Birzu, S. Matin, O. Hallatschek, K. S. Korolev

This study shows that density-dependent dispersal reduces genetic drift in expanding populations, altering diversity loss patterns based on dispersal and growth rate interactions.

bioRxiv · Jun 19, 2019Evolutionary Biology