1 / 15

Biodiversity informatics: Uniformity in Diversity

Biodiversity informatics: Uniformity in Diversity. Mohd Shahir Shamsir Department of Biological Sciences, Faculty of Bioscience & Bioengineering. Contents. Introduction to Bioinformatics in UTM People and Places Biodiversity Project Outline Uniformity and diversity

marc
Télécharger la présentation

Biodiversity informatics: Uniformity in Diversity

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Biodiversity informatics: Uniformity in Diversity Mohd Shahir Shamsir Department of Biological Sciences, Faculty of Bioscience & Bioengineering

  2. Contents • Introduction to Bioinformatics in UTM • People and Places • Biodiversity Project • Outline • Uniformity and diversity • Expectations and ideals • Trials and tribulations

  3. Peoples and Places • The Artificial Intelligence and Bioinformatics Laboratory (AIBIL) • Prof. Safaai Deris, Dr. (Director) • Software Engineering Department, • Faculty of Computer Science and Information Systems (FSKSM). • Bioinformatics Research Laboratory • Shahir Shamsir, Dr (Principle Researcher) • Biological Scieces Department • Faculty of Bioscience and Bioengineering (FBB) www.fbb.utm.my • UTM youngest faculty

  4. IBM eServer Cluster 1350 Lab - AIBIL • 32 processors with: • Intel Xeon DP 3.06GHz/533Mhz FSB. • 1GB of ECC DDR SDRAM RDIMM. • IBM 36.4GB 10K-rpm Ultra320 SCSI Hot-Swap SL HDD. • Connected to MyREN.

  5. Education • Bachelor of Computer Science (Bioinformatics) • Master of Science (by Research) • PhD (by Research) Faculty of Computer Science and Information Systems www.fsksm.utm.my

  6. Biodiversity Informatics Project - Outline • Initiated to catalogue medicinal flora in Endau Rompin • 2nd project for FBB

  7. Bodiversity • Biological diversity" is defined as the variability among living organisms from all sources including, inter alia, terrestrial, marine and other aquatic ecosystems and the ecological complexes of which they are part; this includes diversity within species, between species and of ecosystems. Convention of Biological Diversity (CBD)

  8. Biodiversity Informatics • the application of information technologies to the management, algorithmic exploration, analysis and interpretation of primary data regarding life, particularly at the species level of organization • (Soberón & Peterson 2004) Providing resource for policy makers and environmental managers with relevant information on biodiversity.

  9. Biodiversity Informatics - Database • Biota.my • Typical biodiveristy database • Interoperability with GBIF

  10. Biodiversity Informatics - Database • Online depository – user can create their own datatypes • Information Catalogue - fact sheets, species guide etc • Bibliographical information – in-house or third party • A Geographic Information System (GIS) • Forum – to encourage user participation, information exchange • Information on depositors – profile page to determine authenticity of data

  11. Biodiversity Informatics - GIS • Tie in with ArcGIS • Sense of being- 3D view • Departure from typical biodiversity database – pseudo 3D

  12. STORe-Biodi Spatio-Temporal Object Relational Biodiversity Database A Biodiversity Informatics database for marine ecosystem PresentedConference On Marine Ecosystem of Malaysia 29-30 May 2007 Port Dickson, Malaysia

  13. It should posses a global “data harmony” Maintain certain standard Strengthen the existing infrastructures Reinforces open scientific inquiry Encourages diversity of opinion and analysis; promotes new research; Facilitates the education of new researchers; Make possible the exploration of ideas not envisioned by the initial investigators; Allow the creation of new data when data from multiple sources are combined. Uniformity – Expectations & Ideals

  14. Costs? fat cats and running dogs; political bureaucracy Business model? Scientific will? Lack of sharing culture? Biologist, computer scientist, geoinformaticist, botanist Sharing expertise Relied on hybrids concerns about ownership and IPR Who owns what? Access? Data deposition? Biopiracy and bioprospecting Uniformity - Trials and tribulations

  15. Further information and contact • Mohd Shahir Shamsir • shahir@fbb.utm.my • www.fbb.utm.my

More Related