PPT-Methods and challenges in the analysis of admixed human gen

Simon Gravel Stanford University Map from National Geographic An individual is admixed if its ancestors from G generations ago belong to distinct groups Admixed populations are underrepresented in medical genetics. Christopher R. Barber, CISSP, C|EHv7. Threat Analyst . Solutionary Inc.. Security Engineering Research Team (SERT). Introduction. Member of . Solutionary’s. Security Engineering Research Team (SERT) specializing in threat intelligence and . in Human Disease Genetics & Genomics. Manolis Kellis. MIT Computer Science & Artificial Intelligence Laboratory. Broad Institute of MIT and Harvard. Big data Opportunities & Challenges . in human disease genetics & genomics. Methodology Milestone. Where are we heading? - 1. Better methods for . Capturing Complexity of Review Questions. Increased use of . Models, Theories & Frameworks. Greater Specification . and . Further Adaptation . which method should I use? . (An introduction to ADME . WorkBench. ). May 7, 2013. Conrad Housand. chousand@aegistg.com. www.admewb.com. Framing the Question. Q: Which human PK prediction. method should I use?. Most methods of primary qualitative data . analysis . can be applied to qualitative evidence . synthesis. ‘New’ evidence synthesis approaches have emerged –. eg. meta-ethnography – but use recognisable qualitative analysis principles . Methodology Milestone. Where are we heading? - 1. Better methods for . Capturing Complexity of Review Questions. Increased use of . Models, Theories & Frameworks. Greater Specification . and . Further Adaptation . Dr Andrew Booth (with Acknowledgements to Professor Angela Harden & Professor James Thomas). Overview. What . is Already . Known . around Integrating . Qualitative . and Quantitative Data. Overview . Paul Cairns. paul.cairns@york.ac.uk. Objectives. Purpose of qualitative research. Types of qualitative methods. Coding. Content analysis. 2. What is qualitative research (for)?. 3. Subjective experience. for Managing the Complexities. of a Genomic Core Facility. GNomEx. Tony Di Sera. Passionate about Software, fascinated by Molecular Biology.. Over . 20 years in the software field. University of Utah and . Research on Christian leadership training needs in South Africa. RESEARCH PROJECT. Governing body: . TOPIC Southern Africa. Purpose of the research. Training resources – . www.trainforChrist.org. . Ziho. Kang. Industrial and Systems Engineering. Research focus. Characterizing eye tracking data through data analysis algorithms. . . E.g. Visual scanning sequence comparison methods, or clustering methods.. Job Analysis: Back Office Lead N= 5 3 jobholders 2 managers Primary SME- Jason Hamilton-Brown Sample C-Jam Task importance KSAO (trouble likely/ superior v average) Low interrater reliability KSAOs have higher interrater reliability Root Cause Analysis . Agenda. . Introduction to Root Cause Analysis (RCA). Keys steps for conducting root cause analyses . Assessing potential impact and actionability of addressing root causes. ROOT CAUSE ANALYSIS TOOLKIT. Jinxia. Ma. November 7, 2013. Contents. What are robust methods. Why robust methods. How to conduct the robust methods analysis. Apply robust analysis to your data. What are “robust methods”?. Robust statistics.