Author

Renan Valieris

AC Camargo HospitalORCID 0000-0002-8402-3175Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:proteomics· 1 Approach:simulation· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Israel Tojal da SilvaiD· 2 shared Abayomi S. OlabodeiD· 1 shared Adam Caprez· 1 shared Alex ReynoldsiD· 1 shared Alexander JungeiD· 1 shared Alexandre DefelicibusiD· 1 shared Alyssa K. OvertoniD· 1 shared Andreas SjödiniD· 1 shared

Activity by Year

2018-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersImmunology

Israel Tojal da SilvaORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Inflammatory Monocytes Increase Prior to Detectable HIV-1 Rebound Viremia

Anna Farrell-Sherman, Natalia de la Force, Cecilia A. Prator, Renan Valieris, Walker Azam, Israel Tojal da Silva, Steven G. Deeks, Cassandra Thanh, Ronald J. Bosch, Timothy J. Henrich, Lillian B. Cohn

The paper identifies increased CD16++ monocytes with anti-viral gene expression before HIV-1 rebound, suggesting early immune signals of viral resurgence.

The Journal of Infectious Diseases · Jul 8, 2025Peer-reviewedImmunology

Tracking SARS-CoV-2 variants of concern in wastewater: an assessment of nine computational tools using simulated genomic data

Steven G. Sutcliffe, Susanne A. Kraemer, Isaac Ellmen, Jennifer J. Knapp, Alyssa K. Overton, Delaney Nash, Jozef I. Nissimov, Trevor C. Charles, David Dreifuss, Ivan Topolsky, Pelin Icer Baykal, Lara Fuhrmann, Kim Philipp Jablonski, Niko Beerenwinkel, Joshua I. Levy, , B. Jesse Shapiro

The paper evaluates nine computational tools for identifying SARS-CoV-2 lineages in wastewater sequencing data using simulated samples, finding most tools reliably detect lineages above 5% frequency.

Microbial Genomics · May 24, 2024Peer-reviewedBioinformatics

Bioconda: A sustainable and comprehensive software distribution for the life sciences

Björn Grüning, Ryan Dale, Andreas Sjödin, Brad Chapman, Jillian Rowe, Christopher H. Tomkins-Tinch, Renan Valieris, Adam Caprez, Bérénice Batut, Mathias Haudgaard, Thomas Cokelaer, Kyle A. Beauchamp, Brent S. Pedersen, Youri Hoogstrate, Anthony Bretaudeau, , Matthew L. Workentine

Bioconda provides a sustainable, comprehensive distribution of bioinformatics software using Conda for reproducible analysis across platforms.

Nature Methods · Jun 25, 2018Peer-reviewedBioinformatics