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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.) 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.


2.) 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.


3.) 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