Author

Fabio Zanini

Primary ORCID profile (0000-0001-7097-8539 · 14 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Fabio ZaniniiD14 papers · UNSW Sydney

Biology Disciplines

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Cell Biology· 1 Evolutionary Biology· 1 Genomics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:virus· 2 Assay:whole-genome sequencing· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Jan Albert· 3 shared Johanna Brodin· 3 shared Richard Neher· 3 shared Aaron Demers· 1 shared Aaron M. Kershner· 1 shared Ahmad N. Nabhan· 1 shared Albin Huang· 1 shared Andrew P. May· 1 shared

Activity by Year

2016-2018 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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3 shared papersGenomics

Jan Albert

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Single-cell transcriptomic characterization of 20 organs and tissues from individual mice creates a Tabula Muris

Nicholas Schaum, Jim Karkanias, Norma F Neff, Andrew P. May, Stephen R. Quake, Tony Wyss-Coray, Spyros Darmanis, Joshua Batson, Olga Botvinnik, Michelle B. Chen, Steven Chen, Foad Green, Robert Jones, Ashley Maynard, Lolita Penland, , Tony Wyss-Coray

The paper creates a single-cell transcriptomic atlas of 20 mouse organs and tissues, providing a resource for studying gene expression across cell types.

bioRxiv · Mar 29, 2018 · PreprintCell Biology

Error rates, PCR recombination, and sampling depth in HIV-1 Whole Genome Deep Sequencing

Fabio Zanini, Johanna Brodin, Jan Albert, Richard Neher

This study evaluates error rates, PCR recombination, and sampling depth in HIV-1 whole genome deep sequencing, finding rare mutations down to 0.2% can be detected.

bioRxiv · Sep 25, 2016Genomics

In-vivo mutation rates and fitness landscape of HIV-1

Fabio Zanini, Vadim Puller, Johanna Brodin, Jan Albert, Richard Neher

The paper estimates mutation rates and fitness costs of HIV-1 mutations using longitudinal sequencing data, finding universal fitness landscape patterns across patients.

bioRxiv · Jul 1, 2016Evolutionary Biology

Establishment and stability of the latent HIV-1 DNA reservoir

Johanna Brodin, Fabio Zanini, Lina Thebo, Christa Lanz, Goran Bratt, Richard Neher, Jan Albert

The paper analyzes HIV-1 DNA reservoirs during suppressive ART and finds that most viral DNA sequences are similar to pre-treatment RNA sequences, suggesting ART halts viral turnover rather than persistent replication.

bioRxiv · May 23, 2016Microbiology