University of Nevada Reno
Juli Petereit
Nevada Bioinformatics Center
ARF 306
Reno, NV 89557
http://www.unr.edu/bioinformatics
RRID: RRID:SCR_017802
10x Genomics
Computational - Application Development
Computational - Bioinformatics
Computational - Biostatistics
Computational - High Performance Computing
Consultation
Consultations
Copy Number Variation (CNV)
Data Analysis
Data Processing And Interpretation
Discovery Science
Genomics
Imputation
Metagenomics Analysis
Microarray
Microbiome
Outreach
Pathway Interpretation
Proteomics
RNA analysis
Single-Cell Analysis
1.) Payen SH, Andrada K, Tara E, Petereit J, Verma SC, Rossetto CC (2024 Nov). The cellular paraspeckle component SFPQ associates with the viral processivity factor ORF59 during lytic replication of Kaposi's Sarcoma-associated herpesvirus (KSHV). Virus research, 349(), 199456. . PMID: 39214388.
2.) Bolino M, Duman H, Avcı İ, Kayili HM, Petereit J, Zundel C, Salih B, Karav S, Frese SA (2024 Sep 18). Proteomic and N-glycomic comparison of synthetic and bovine whey proteins and their effect on human gut microbiomes bioRxiv, (), 2024.09.18.613515. . PMCID: 11429724.
3.) Hack SJ, Petereit J, Tseng KA (2024 Jul 22). Temporal Transcriptomic Profiling of the Developing Xenopus laevis Eye bioRxiv, (), 2024.07.20.603187. . PMCID: 11291033.
4.) von Bartheld CS, Wang L (2023 Jan 28). Prevalence of Olfactory Dysfunction with the Omicron Variant of SARS-CoV-2: A Systematic Review and Meta-Analysis Cells, 12(3), 430. . PMCID: 9913864.
5.) von Bartheld CS, Wang L (2023 Jan 19). Prevalence of Olfactory Dysfunction with the Omicron Variant of SARS-CoV-2: A Systematic Review and Meta-analysis medRxiv, (), 2022.12.16.22283582. . PMCID: 9774228.
6.) Nguyen PK, Son Y, Petereit J, Khlystov A, Panella R (2023 Jan 12). Modeling Human Lung Cells Exposure to Wildfire Uncovers Aberrant lncRNAs Signature. Biomolecules, 13(1), . . PMID: 36671540.
The Nevada Bioinformatics Center is a core facility at the University of Nevada, Reno supporting Nevadan life-science researchers and beyond. We have a team of diverse scientists offering bioinformatics, statistical, and data science support to a wide range of projects from genomics to proteomics, and from novel assemblies to complex network modeling. Reach out and we are happy to discuss your project with you.
