STAT 581

Bioinformatics Seminar (Spring 2022)

Time: 12:30-1:20pm

          Location: zoom link

 

Schedule

1.    Tuesday, January 11, 2022

Min Zhang, Department of Statistics, Purdue University

·      Course information: Only registered students should attend.

 

 

2.    Tuesday, January 18, 2022

Yunlong Liu, Director of Bioinformatics Core; Director of Center for Medical Genomics; Professor of Molecular and Medical Genetics; Indiana University School of Medicine

·         Title: Roles of Regulatory Variants in Complex Diseases

·         Abstract

·         Associated reading: Allele-specific expression and high-throughput reporter assay reveal functional genetic variants associated with alcohol use disorders. Rao X, Thapa KS, Chen AB, Lin H, Gao H, Reiter JL, Hargreaves KA, Ipe J, Lai D, Xuei X, Wang Y, Gu H, Kapoor M, Farris SP, Tischfield J, Foroud T, Goate AM, Skaar TC, Mayfield RD, Edenberg HJ, Liu Y. Mol Psychiatry. 2021 Apr;26(4):1142-1151. doi: 10.1038/s41380-019-0508-z. Epub 2019 Sep 2. PMID: 31477794 

 

3.    Tuesday, January 25, 2022

Fei Xue, Department of Statistics, Purdue University

·         Title: Heterogeneous Mediation Analysis on Epigenomic PTSD and Traumatic Stress in a Predominantly African American Cohort

·         Abstract

·         Associated reading: Heterogeneous Mediation Analysis on Epigenomic PTSD and Traumatic Stress in a Predominantly African American Cohort

 

4.    Tuesday, February 1, 2022

Chongli Yuan, Davidson School of Chemical Engineering, Purdue University

·        Title: Towards elucidating the impact of environmental exposure on epigenome and long-term health risk

·        Abstract

·         Associated reading: Pre-differentiation exposure to low-dose of atrazine results in persistent phenotypic changes in human neuronal cell lines

 

5.    Tuesday, February 8, 2022 (cancelled)

 

6.    Tuesday, February 15, 2022

Zhabiz Golkar, Voorhees College

·        Title: Engineering Embryos Using CRISPR-Cas9, Scientific and Ethical Considerations

·        Abstract

·        Associated reading: https://genetics.thetech.org/ask/ask373

https://web.archive.org/web/20171202012447/http://www.councilforresponsiblegenetics.org/genewatch/GeneWatchPage.aspx?pageId=226

 

7.    Tuesday, February 22, 2022

Lucia Petito, Feinberg School of Medicine, Northwestern University

·        Title: Considerations when Leveraging Electronic Health Records to Address Comparative Effectiveness Questions: A “Create Your Own Data” Adventure

·        Abstract

·        Associated reading:

o   Hernán M.A. & Robins J.M. (2016). Using big data to emulate a target trial when a randomized trial is not available. American Journal of Epidemiology, 183(8):758-764. https://doi.org/10.1093/aje/kwv254

o   Hernán, M. A., Sauer, B. C., Hernández-Díaz, S., Platt, R., & Shrier, I. (2016). Specifying a target trial prevents immortal time bias and other self-inflicted injuries in observational analyses. Journal of clinical epidemiology, 79, 70-75. https://doi.org/10.1016/j.jclinepi.2016.04.014

o   Hernán, M. A. (2018). How to estimate the effect of treatment duration on survival outcomes using observational data. Bmj, 360. https://doi.org/10.1136/bmj.k182

o   Petito, L. C., García-Albéniz, X., Logan, R. W., Howlader, N., Mariotto, A. B., Dahabreh, I. J., & Hernán, M. A. (2020). Estimates of overall survival in patients with cancer receiving different treatment regimens: emulating hypothetical target trials in the Surveillance, Epidemiology, and End Results (SEER)–Medicare Linked Database. JAMA network open, 3(3), e200452. https://doi.org/10.1001/jamanetworkopen.2020.0452

 

8.    Tuesday, March 1, 2022 (CGC seminar series – Part 1)

Zélia Worman, Program Manager, Seven Bridges

·         Title: The Cancer Genomics Cloud: A secure and scalable cloud-based platform to access, share, and analyze multi-omics datasets

·         Abstract

·         Associated reading:

o   website: https://www.cancergenomicscloud.org/

o   Publication: https://aacrjournals.org/cancerres/article/77/21/e3/662625/The-Cancer-Genomics-Cloud-Collaborative

·         Slides

·         Video

 

9.    Tuesday, March 8, 2022 (CGC seminar series – Part 2)

Phil Webster, Genomic Scientist, Seven Bridges

·         Title: RNA-seq analysis and differential expression in the cloud

·         Abstract

·         Slides

·         Video

·         Note: If you have issues with the workflow runs, please review the Seminar Workflow Fix.

 

10.           Tuesday, March 15, 2022 (No seminar – Spring break)

 

11.           Tuesday, March 22, 2022 (CGC seminar series – Part 3)

Phil Webster, Genomic Scientist, Seven Bridges

·         Title: Using the power of cloud computing to scale single-cell analysis with the CGC

·         Abstract

·         Slides

·         Video

 

 

12.           Tuesday, March 29, 2022 (CGC seminar series – Part 4)

Manisha Ray

·         Title: Uploading your own data on the CGC – the power of big data, at the tip of your hands

·         Abstract

·         Slides

·         Video

 

 

13.           Tuesday, April 5, 2022

Saurabh Sinha, Thomas M. Siebel Center for Computer Science, University of Illinois Urbana-Champaign

·        Title: New challenges and opportunities presented by advances in transcriptomics

·        Abstract

·        Associated reading:

[Spatial single-cell transcriptomics]

Emanuel, G., & He, J. (2021). MERFISH Enables Mapping of Cellular Diversity with Spatial Context at Subcellular Resolution. Microscopy Today, 29(4), 30-33. doi:10.1017/S1551929521000894

 

[Transcriptomic profile deconvolution]

Jaakkola MK, Elo LL. Computational deconvolution to estimate cell type-specific gene expression from bulk data. NAR Genom Bioinform. 2021 Jan 12;3(1):lqaa110. doi: 10.1093/nargab/lqaa110. PMID: 33575652; PMCID: PMC7803005.

 

Hao Y, Yan M, Heath BR, Lei YL, Xie Y. Fast and robust deconvolution of tumor infiltrating lymphocyte from expression profiles using least trimmed squares. PLoS Comput Biol. 2019 May 6;15(5):e1006976. doi: 10.1371/journal.pcbi.1006976. PMID: 31059559; PMCID: PMC6522071.

 

14.           Tuesday, April 12, 2022 – Cancelled

 

15.           Tuesday, April 19, 2022

Jinhui Wang, Integrative Genomics Core, Beckman Research Institute of City of Hope

Lu Yang, Department of Systems Biology, Beckman Research Institute of City of Hope

·        Title: Introduction of next generation sequencing application and analysis

·        Abstract

·        Associated reading:

 

An overview of Next-Generation Sequencing. Athina Gkazi. Genomics Rsearch. https://www.technologynetworks.com/genomics/articles/an-overview-of-next-generation-sequencing-346532

 

Nanopore-based fourth-generation DNA sequencing technology.Feng Y, Zhang Y, Ying C, Wang D, Du C. Genomics Proteomics Bioinformatics. 2015 Feb;13(1):4-16. doi: 10.1016/j.gpb.2015.01.009. Epub 2015 Mar 2.

 

Third-Generation Sequencing: The Spearhead towards the Radical Transformation of Modern Genomics. Athanasopoulou K, Boti MA, Adamopoulos PG, Skourou PC, Scorilas A.Life (Basel). 2021 Dec 26;12(1):30. doi: 10.3390/life12010030.

 

Shade A, Teal TK (2015) Computing Workflows for Biologists: A Roadmap. PLoS Biol 13(11):e1002303.

 

Cock PJ, Fields CJ, Goto N et al. (2010) The Sanger FASTQ file format for sequences with quality scores, and the Solexa/Illumina FASTQ variants. Nucleic Acids Res 38(6):1767-1771.

 

Ewing B, Green P (1998) Base-calling of automated sequencer traces using phred. II. Error probabilities. Genome Res 8(3): 186-194.

 

Conesa, A., Madrigal, P., Tarazona, S. et al. A survey of best practices for RNA-seq data analysis. Genome Biol 17, 13 (2016).

 

Nakato R, Shirahige K. Recent advances in ChIP-seq analysis: from quality management to whole-genome annotation. Brief Bioinform. 2017;18(2):279-290.

 

Haque, A., Engel, J., Teichmann, S.A. et al. A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications. Genome Med 9, 75 (2017).

 

Hwang, B., Lee, J.H. & Bang, D. Single-cell RNA sequencing technologies and bioinformatics pipelines. Exp Mol Med 50, 1–14 (2018).