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Comprehensive Solutions in Chemical Engineering and Bioinformatics

Dr. Per Kraulis is a distinguished Chemical Engineer with a Ph.D. from Uppsala University and postdoctoral experience at Cambridge University and the Karolinska Institute. His expertise encompasses structural biology, protein NMR, and bioinformatics, supported by a strong foundation in systems architecture and software development. Proficient in programming languages including Python and JavaScript, Dr. Kraulis excels in database management, LIMS setup, and e-science workflows. He is committed to developing innovative solutions for genomics and data analysis in the life sciences.

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Comprehensive Solutions in Chemical Engineering and Bioinformatics

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  1. Per Kraulis, CV • Chemical Engineer, KTH • Structural Biology • Protein NMR & 3D analysis • Ph.D. Uppsala Univ • Postdoc Cambridge Univ • Karolinska Inst • Bioinformatics • Pharmacia • Sthlm Bioinfo Center • Biovitrum • Tartu University • SGC

  2. More about me... • http://se.linkedin.com/in/perkraulis • http://www.citeulike.org/user/pekrau • http://delicious.com/pekrau • http://www.avatar.se/

  3. Systems Architect(Scientific programmer/Systems developer) • Relational database systems • MySQL, Oracle • Other database systems • Gdbm, XML, OODBMS • Software • MolScript • ANSIG (protein NMR) • Programming • Python • JavaScript (Ajax) • C, C++, Simula, Pascal, Eiffel, Fortran...

  4. Task: Software system admin • Setup of common stuff • On russola & other “local” servers • Tools (executables) • Reference databases (Human genome, etc) • Documentation • (Help with) sysadmin • Disk police • Queues?

  5. Task: LIMS setup • Geospiza LIMS for Genomics (?) • Configuration • Integration with analysis • Policy for datasets • Persistent, coherent identifier scheme • Storage and backup • ELN issue: Contur, Wiki, Google Wave,...?

  6. Task: Analysis Pipeline • Standard analysis for Service-for-fee • Set up analysis modules • Set up self-tests • Visualization tools • Explore datasets • Identify strange problems

  7. Task: Workflow system • Current trend in e-Science: Taverna, Galaxy,... • Flownode (under development) • Web-integrated (fully, not just client-only) • Cloud-computing (Grid) enabled • Human interaction (via browser) • Programmatic interface • Web Services • REST architecture • Implement standard analysis modules

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