PPT-exRNA Profiling Data Submission &

Analysis Infrastructure for the ERC Consortium Sai Lakshmi Subramanian ERC Consortium Data Management amp Resource Repository DMRR Baylor College of Medicine Houston TX 5 th NIH ERCC Investigators Meeting. Dr Kat . Hadjimatheou. Research . Fellow. Dept. . o. f Philosophy. University of Birmingham. Outline. Is . ethnic profiling harder to justify than behavioural profiling . in principle or for contingent . Rohit Agarwal. OUTLINE. Introduction. Types of Profiling. When should Data Profiling be done?. General Model. Methodology. Conclusion. References. Introduction. Data as we know is a piece of information, this piece of information is very important for the large organizations and companies, just like money and property are important assets for a human likewise data is an asset to any successful organization.. Chihao. Li. , Department of Mathematics, National Taiwan University. 2011/7/7. What is profiling?. Profiling. 2. What is Profiling?. A good program need?. Accuracy?. Effeciency. ?. Readability?. Rewritability. What-if Analysis, and . Cost-based Optimization of . MapReduce. Programs. Herodotos Herodotou. Shivnath Babu. Duke University. Analysis in the Big Data Era. 8/31/2011. Duke University. 2. Popular option. Tom Bascom . White Star Software. A Few Words about the Speaker. Tom Bascom; Progress 4gl coder & roaming DBA since 1987. President, DBAppraise, LLC. Remote database management service for . OpenEdge. Submitter . First. letter of First Name, . First . 4 letters of . L. ast Name . Number . (from 1). Example. :. . KJENS1. , KJENS2 . & so on. Doc IDs:. EXR-KJENS100000001-SU. EXR-. KJENS100000001-BS. AGE. . PROFILING. AGE. NO.. OF CUSTOMERS. <. 45 Years. 4901. >= 45 Years. 5395. As per the data given, . median age = 45. Amitabh . Bachchan. . would appeal more to customers . >= 45 Years. ________________________________ ________________________________ ________________________________ 1 TICO Internet Data Submission User’s Guide Special Note: County Mutual companies reporting on an All MMPs are toenroll using the provided MMP enrolment packets regardless of whetherthe organization has enrolled previously as a Medicare Advantage PlanQ3Please see HPMS Memo Timeframes for Testing BANDUNG, INDONESIA, 5 - 7 NOVEMBER 2014 . Report of The. Working Group on MRL in tea (2012-2014). CHAIR: India Co-Chair : UK. dr. A K . barooah. Ms Katie . donnelly. Joint Coordinators, WG on MRL. Workbench. Organized and Hosted by the Data Management. and Resource Repository (DMRR. ). Sai Lakshmi Subramanian. Data Management and Resource Repository (DMRR) – ERCC. Baylor College of Medicine. VIVO et al.. Several slides are from a presentation to OVPR in 2010.. Chin Hua Kong – SLIS. Robert Light - SLIS. Katy Borner – SLIS. I would like to thank Ryan . Cobine. and David Cliff for their input.. Limitations of . Circulating miRNA. Performed by the . Data Management . a. nd Resource Repository (DMRR). ERCC . D. ata Analysis. 1. Williams Z., et al. . (. 2013. ) Comprehensive profiling of circulating microRNA via small RNA sequencing of cDNA libraries reveals biomarker potential and limitations. Unlocking the mysteries of genetics one DNA strand at a time. Discover the science behind DNA fingerprinting and its applications in our daily lives.. The Principles of Genetic Identification. DNA profiling is a technique that helps forensic scientists and medical personnel identify individuals by examining their unique DNA codes. The technique involves extracting DNA from various biological samples like hair, blood, or semen to create a genetic profile..