PPT-CSE/ BENG/BIMM/CHEM 182: Biological Data Analysis

Instructor Vineet Bafna Today We will explore the syllabus through a series of questions Please ASK All logistical information will be given at the end Introduction to the class Databases. Ju. . Han Kim . Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Korea, . Presenter: Zhen Gao . 2. Outline. Review of major computational . approaches to facilitate biological interpretation of . *Towhomcorrespondenceshouldbeaddressed.E-mail:(1)Neumann,W.P.Chem.Re,311.(2)Barrau,J.;Rima,G.Coord.Chem.Re,593.(3)Weidenbruch,M.Eur.J.Inorg.Chem.,373.(4)Tokitoh,N.;Okazaki,R.Coord.Chem.Re,251.(5)Bogan Sevoflurane⋯Benzene. Structure. . by CP-FTMW . Spectroscopy. Nathan A. Seifert. , Cristobal Perez, Daniel P. . Zaleski. , Justin L. Neill, Brooks H. Pate. . . University . of Virginia. pathway . knowledgebase. Connecting . pathways, networks, and . disease. Robin Haw, PhD . Project Manager and Outreach Coordinator. Ontario Institute for Cancer Research. robin.haw@oicr.on.ca. San Diego. March 15, 2016. Robust HT screen. Hit Identification. Chemical and biological validation. Used to study biological processes. Potential . therapeutic. .  .                                                                                                                                                                                                                        . Fall . 2017. First Order Spectra. For a spectrum to be 1. st. order, the . D. n. between the chemical shifts of any given pair of nuclei must be much larger than the value of the coupling constant . analysis - outliers. V2: batch effects. V3: data imputation. What . is measured by microarrays?. Microarray normalization. Differential gene expression (DE) analysis based on microarray data. Detection of outliers. Yun Lian. 04-27-2012. GeneSpring. Layout. Organization of Elements. Project. : a container for a collection of exp.. Experiment. : a collection of samples for which arrays have been run in order to answer a specific scientific question.. What is measured by microarrays?. Microarray normalization. Differential gene expression (DE) analysis based on microarray data. Detection of outliers. RNAseq. data. DE analysis based on . RNAseq. data. V10 Multi-. omics. . data. . integration. Program for today:. Data integration methods. - multi-staged approaches. - meta-dimensional analysis. Multiomics. factor analysis (MOFA) + example. Similarity network fusion (SNF) + . How does MS proteomics work?. What is the role of bioinformatics in MS proteomics ?. Peptide mass fingerprinting. Significance analysis. GO annotations. Applications of MS:. TAP-MS. Phosphoproteome. Data imputation . (course # 53545/53436). Spring 2020 Tues/Thurs 11 – 12:30 PM JGB 2.202. Instructor: Prof. Edward Marcotte marcotte@icmb.utexas.edu . Office hours: Wed 11 – 12 MBB 3. 148BA. V2: . data imputation . V3: batch effects. What is measured by microarrays?. Microarray normalization. Differential gene expression (DE) analysis based on microarray data. Detection of outliers. RNAseq. omics. data. 4/13/2012. Information integration of . omics. data can mean a broad range of topics.. Integrate freshly generated data with existing knowledge (biological knowledge, database and inference tools).