PPT-Data Analysis Group Introduction to NGS

2 nd August 2019 Sequencing history Current sequencing approaches File formats Quality assessment Read trimming DAG workflows The Sequence Read Archive Outline Descriptive text Example commands black monospaced text . Methods of cluster analysis. Goals 1. We want to identify groups of similar artifacts or features or sites or graves, etc that represent cultural, functional, or chronological differences. We want to create groups as a measurement technique to see how they vary with external variables. r. esearch . data management. - a physical science case study. Slides provided by DaMaRO Project, . University of Oxford. The researcher. Dr Richard . Goulden. , a British Heart Foundation funded postdoc in the Department of Chemistry. Andrew Mead (School of Life Sciences). Multi-… approaches in statistics. Multiple comparison tests. Multiple testing adjustments. Methods for adjusting the significance levels when doing a large number of tests (comparisons between treatments) within a single analyses. Biology 4605/7220. Chih-Lin Wei. Canadian Health Oceans Network Postdoc Fellow. Ocean Science Centre, MUN. My Background. Benthic ecologist: . Community ecology. How environments control macroecological patterns in the deep-sea. Jenny . Wu. Outline. Goals : Practical guide to NGS data processing. Bioinformatics in NGS data analysis. Basics: terminology, data formats, general workflow etc.. Data Analysis Pipeline. Sequence QC and preprocessing. Jenny Wu. UCI Genomics High Throughput Facility. Outline. Goals : Practical guide to NGS data processing. Bioinformatics in NGS data analysis. Basics: terminology, data file formats, general workflow . Introduction Slides:. Business 478: Strategy. PART 0. Help with Strategy. © . 2015, 2017 Jerry Sheppard. All rights reserved. May not be copied, scanned, or duplicated, in whole or in part, except for . . . Chong Ho Yu. Why do we look at . grouping (cluster) patterns?. This regression model yields 21% variance explained.. The . p. value is not significant (p=0.0598). But remember we must look at (visualize) the data pattern rather than reporting the numbers. SM ON LITERATURE. DEDY SUBANDOWO, M.A. PROGRAM STUDI . PENDIDIKAN BAHASA INGGRIS. FAKULTAS KEGURUAN DAN ILMU PENDIDIKAN. UNIVERSITAS MUHAMMADIYAH METRO. SATUAN ACARA PERKULIAHAN. PERTEMUAN. TOPIK. TEAMWORK. Dr. Gemma Moore PhD. Qualitative Evaluation and Research Officer,. Measurement for Improvement Team, Quality Improvement Division, HSE. Outline. . 1. What is Qualitative Research?. 2. Designing Qualitative Projects. ChengXiang. (“Cheng”) . Zhai. Department of Computer Science. University of Illinois at Urbana-Champaign. http://www.cs.uiuc.edu/homes/czhai. czhai@illinois.edu. What is “big data”? . "Big Data are . Chong Ho Yu. Crime hot spots. How can criminologists find the hot spots?. Data reduction. Group variables into factors or components based on people’s response patterns. PCA. Factor analysis. Group people into groups or clusters based on variable patterns. Instrumented Rolling TrainStabilized / Un-stabilized Full Depth Reclamation FDRHMA Rolling TrainCourtesy of Rebecca Embacher MnDOTMassive IC Data15Miles3 Compactors11207Export Files17271460RowsRaw Dat Jean . Shimer. . and Patti . Fougere. , MA Part C. Karen Walker, WA Part . C. Karie. Taylor, AZ Part C. Abby . Winer, . DaSy. , ECTA. Tony Ruggiero, . DaSy. , . IDC. 2014 Improving Data, Improving Outcomes Conference.