PPT-Lessons learned developing GUI in bioinformatics software: from end-user applications

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H LópezFernández M ReboiroJato D Glez Peña R Laza R Pavón F Fdez Riverola Bioinformatics Open Days 2018 Introduction Introduction Graphical User

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Lessons learned developing GUI in bioinformatics software: from end-user applications: Transcript


H LópezFernández M ReboiroJato D Glez Peña R Laza R Pavón F Fdez Riverola Bioinformatics Open Days 2018 Introduction Introduction Graphical User Interface . Dec 2015. Shrini . . Kulkarni. shrinik@gmail.com. http://shrinik.blogspot.com. Best kept Secrets about GUI Automation. Very expensive to develop and maintain. Prerequisites for success are very demanding and often impossible to meet. Dr. Sherry Yang. Oregon Institute of Technology. Week 1. Introduction. Syllabus, class information. Brief GUI introduction. First Windows Forms program – code only. Using Designer . In-Class Exercise . Brian Andrews. . Feedback and Improvement Manager. Consolidated Nuclear Security, LLC . Brian.Andrews@cns.doe.gov. Amanda Crumby. 10/22/2015. 1. Lessons Learned Team . FI&S . . Sharon Chamblee. Si-NSF large facilities workshop. May 25, 2016. Lessons of History. “What is . past is . prologue.”. “Those who do not learn from history are doomed to repeat it.”. . - Santayana. “Insanity is doing the same thing over and over and expecting different results.” . Video of the Week. https://. www.youtube.com/watch?v=wSnx4V_RewE. What is a GUI?. Graphical User Interface. What?. A pictorial based interface that uses menus, buttons, the mouse, and other “graphics” to communicate with the user. [No command line interaction]. 1. Auctions (1). Mr X. Agent A. Agent B. Agent C. In person bids. Telephone bids. Online bids.   . . . 3. rd. Party Purchaser. Layering. Integration. Copyright Lessons Learned Ltd 2016. Jan - June 2015. Consulting researchers on bioinformatics tools, data analysis, data management, . and interpretation of experimental . data.. Analyzing of high. -throughput . sequencing data and conducting . Richard H. Scheuermann, Ph.D.. Director of Informatics. JCVI. Outline. What is Bioinformatics? . Some definitions. Data types and analysis objectives. Big Data. T. he Big Data . value proposition. The Power of Bioinformatics. Dr. . Matthew . Cserhati (UNMC). Nebraska . Wesleyan. Phage Symposium. April 15, 2016. Personal introduction. MSc: . biology. , . Eotvos Lorand University, Hungary. BSc: . University of Szeged, . software engineering, Hungary. �� Govind Ballabh University of Agriculture and Technology Abstract- Bioinformatics plays a significant role in the development of the agricultural sector, agro-based industries, ag Federal Aviation. Administration. Federal Aviation. Administration. Main points. Need focus on trim understanding, awareness, and use. . Have to control instructor mutations. Need the RIGHT attitude. New assay validation. The bioinformatics team is developing a new analysis pipeline for a new NGS assay being introduced in the laboratory. You are representing the bioinformatics team in a meeting with Clinical Scientists from genomics to plan the validation. . Lonnie . Welch, . Fran . Lewitter. , . Russell . Schwartz, . Cath. . Brooksbank. , . Predrag. . Radivojac. , . Bruno . Gaeta, Maria . Victoria . Schneider . Curriculum Task Force for ISCB Education Committee . There exist different levels of computational methods for . describing metabolic networks:. - stoichiometry/kinetics of classical biochemical . pathways. (glycolysis, TCA cycle, .... - stoichiometric modelling (.

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