National University of Singapore   
Bioinformatics
Workshop on R

An APBioNet-NUS Project

  



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Biochemistry NUS

APBioNet



Data Analytics Seminar
and
Hands-on Bioinformatics Workshop on R

You are cordially invited to participate in a seminar and hands-on workshop on R in life science applications.

DATE: Thu 8 September 2011

TIME: 3.30pm - 4.30pm (Seminar)
          4.30pm - 5.00pm (Tea Break kindly sponsored by 1DegreeNorth)
          5.00pm - 6.30pm (Hands-on Workshop)

VENUE: Seminar Room M9, Level 2, Block MD7, 8 Medical Drive, Department of Biochemistry,
          Yong Loo Lin School of Medicine, National University of Singapore

COST:
  • FREE TO ALL NUS staff, AMBIS and APBioNet MEMBERS (Association of Medical and Bio Informatics Singapore and Asia Pacific Bioinformatics Network)
    If you wish to join, please see AMBIS Membership page
  • FOR NON-MEMBERS:
    Registration Waived by Sponsorship from Revolution Analytics, OneDegreeNorth, APBioNet and Biochemistry Department

    Access to NUS computing resources thanks to Supercomputing Visualization Unit, Computer Centre and BIC.

    HANDS-ON:
    Please bring your laptop with you with power cable. Minimum requirements 1 Gbyte RAM PC with DVD reader. LiveCD will be issued. Alternatively, you can install Virtual Machine VMware on your Windows operating system and download a vmk file which we will customise for you.
    Training material:
    They will be placed online in advance. If you need hardcopy, please inform us.
    Endorsed by APBioNet
    Organised by Bioinformatics Core Facility, Bioinformatics Centre, Dept of Biochemistry/Life Science Institute, National University of Singapore.

    Keynote Seminar
    Data Analytics, trends and importance of Big Data in Biology, Hard Sciences, Business and the Arts
    BY Jeff Erhardt, COO,
    Revolution Analytics

    Speaker Biography
    Jeff Erhardt is an executive with more than 11 years of diverse experience at Fortune 400 companies in technology, operations, finance, strategy, and M&A. Erhardt began his career at Advanced Micro Devices where he was responsible for the development and commercialization of leading edge semiconductor devices, eventually authoring more than 30 United States patents. In this capacity, Erhardt was an expert user of numerous statistics and analytics tools (including R) and directed the creation of a cutting edge, fully integrated analysis infrastructure to accelerate the development and introduction of new semiconductor technologies. Most recently Erhardt played a central role in the multi-billion dollar restructuring effort at Spansion, where he advised on operational and performance improvements as well as structured, negotiated, and led numerous complex, multi-national transactions. Erhardt graduated with a B.S. in Engineering Cum Laude, from Cornell University and an M.B.A. with Honors from The Wharton School.

    Seminar Abstract
    In the past ten years, a new field of data analytics has emerged to deal with the incredible deluge of data flooding the sciences, arts and business. Data scientists overwhelmed by big data technology struggle daily with the complexity of big data solutions, difficulty of applying valid statistical models to analyze the data, and limited insight into the meaning of the data. One of the most popular advanced analytics open source software platform is R, and in recent years has emerged in popularity and functionality as the tool of choice. Over 2 million analysts worldwide in academia and at cutting-edge analytics driven companies such Google, Facebook and LinkedIn use R, including the enterprise version of R delivered by Revolution Analytics. The experience in building open source R solutions with innovations in big data analysis, integration and user experience will be described for Biology and other fields. In particular the management of large data volumes in the context of high performance computing and scaling up will be explained.

    WHO SHOULD COME Researchers involved in the following disciplinary areas will find this seminar useful.


    Webcast Video for this seminar can be downloaded from here:  
    Seminar_Webcast_R



    Hands-on Workshop
    Hands-on Practical Parallel Computing
    in R for Bioinformatics

    BY Dr Xie Chao, Senior Researcher,
    Life Sciences Institute, NUS

    Workshop Abstract
    In today's biological research, massive amount of data are being generated and massive amount of analysis are needed. Unfortunately, our computers are not getting much faster processors. Instead, we are getting larger quantity of processors --- multicore, multi-processor, multi-computer clusters. In order to fully utilize such computing power, we need to use parallel computing techniques. In this hands-on practical, we will demonstrate the use of R computing environment to do parallel computing in the context of solving typical biological problems such as today's next generation sequencing and microarray data.

    Hands-on Practical Parallel Computing in R for Bioinformatics

  • slides
  • (Outdated) Tutorial Notes on parallelR
  • (Outdated) Tutorial Slides on parallelR
  • (Outdated) Brief Introduction to R for Beginners


  • Webcast Video for this hands-on workshop on Parallel R can be downloaded from here:  HandsOn_Workshop_R

    WHO SHOULD COME


    ORGANISING COMMITTEE

    1. Lim Cheh Peng, Core Facilities Manager, Biochem Dept, National University of Singapore
    2. Liu Lizhen, Teaching Assistant, Biochem Dept, National University of Singapore
    3. Tan Tin Wee, Head (Acting), Biochem Dept, National University of Singapore


    Registration and Contact

    Registration for the seminar and workshop:
    Register Me Here

    If any enquries, please contact
    Ms Liu Lizhen and Dr Lim Cheh Peng
    Department of Biochemistry
    National University of Singapore
    Singapore
    Tel: (65) 65163566
    Fax: (65) 67777936
    Email: lizhen@bic.nus.edu.sg

    Closing date for registration : 7 September 2011.


    Brought to you by Biochemistry Core Facility


    Last Updated: 18 August 2011
    First Created: 18 Aug 2011 Tan Tin Wee