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Sylvester Biostatistics and Bioinformatics Shared Resource

University of Miami

Contact Info:

Yan Guo

1120 NW 14 Street

Room 1073

Miami,, FL 33136

https://www.sylvester.org/BBSR

Grants and Identifiers:

RRID: RRID:SCR_022890

Other Citation Identifiers

P30-CA240139

Instrumentation:

Services Provided:

Computational - Bioinformatics

Computational - Biostatistics

Data Analysis And Interpretation

Relevant Publications:

1.) Srinivasan S, Mehra S, Jinka S, Bianchi A, Singh S, Dosch AR, Amirian H, Krishnamoorthy V, Silva IC, Patel M, Worley E, Garrido V, Totiger TM, Zhou Z, Ban Y, Datta J, VanSaun M, Merchant N, Nagathihalli NS (2025 Jul 14). CREB drives acinar cells to ductal reprogramming and promotes pancreatic cancer progression in preclinical models of alcoholic pancreatitis. bioRxiv : the preprint server for biology, (), . . PMID: 38903082.


2.) Thakur V, Thakur VS, Wang D, de Freitas JT, Bianchi A, Nivelo LA, Umland O, Welford SM, Bedogni B (2025 May 28). Co-inhibition of Notch1 and ChK1 triggers genomic instability and melanoma cell death increasing the lifespan of mice bearing melanoma brain metastasis Journal of Experimental & Clinical Cancer Research : CR, 44(), 163. . PMCID: 12117938.


3.) Scala G, Ferraro L, Brandi A, Guo Y, Majello B, Ceccarelli M (2024 Sep). MoNETA: MultiOmics Network Embedding for SubType Analysis. NAR genomics and bioinformatics, 6(4), lqae141. . PMID: 39416887.


4.) Ashad-Bishop KC, Baeker Bispo JA, Nahodyl L, Balise RR, Kobetz EK, Bailey ZD (2023 Oct). Hyperlocal disparities in breast, cervical, and colorectal cancer screening: An ecological study of social vulnerability in Miami-Dade county. Preventive medicine reports, 35(), 102371. . PMID: 37654517.


5.) Anderson RT, Yang TC, Matthews SA, Camacho F, Kern T, Mackley HB, Kimmick G, Louis C, Lengerich E, Yao N (2014 Apr). Breast cancer screening, area deprivation, and later-stage breast cancer in Appalachia: does geography matter? Health services research, 49(2), 546-67. . PMID: 24117371.


Description:

The Sylvester Biostatistics and Bioinformatics Shared Resource (BBSR) provides expertise and analysis support for basic and translational research, clinical trials, and both interventional and non-interventional population-based studies. The BBSR offers support for data-intensive and large-scale data analysis projects. BSSR services include support for data analysis and interpretation; software access; algorithm and database development; support of scientific review, monitoring, and oversight of clinical and population science research protocols; consultation, training, educational workshops, lectures and seminars. The BBSR enables investigators to take advantage of advances in data acquisition in oncology research by employing cutting-edge data analysis tools and methods. Biostatistics services include support for the statistical design of clinical trials, population studies, and laboratory experiments; sample size determination and justification; statistical analysis plans; statistical support for data and safety monitoring of clinical trials; data analysis and interpretation; prediction model development using machine learning techniques; and database design and data management. Bioinformatics services include project design for high-throughput genomics studies; support for next generation sequencing data analysis (including whole transcriptome profiling; targeted region gene expression and single-cell RNA-seq; epigenomics profiling such as ChIP-seq and ATAC-seq; and exome or whole genome sequencing analysis); pathway analysis; microbiome data analysis; functional metagenomics analysis; drug sensitivity and genomic association analysis; genomic data integration using public databases; integration analysis of genomic data across multiple platforms; genomic data visualization; and bioinformatics methods, analysis pipeline, software and algorithm development. BBSR services can be utilized for QA/QC, including quality assessment of sequencing data, sample outlier detection, batch effect determination, evaluation of spike-in control methods, randomized block design, and other strategies for data normalization. T