Thermo Fisher Scientific
The online registration for the Proteome Discoverer and Compound Discoverer Users` Meeting in Bremen, Germany is now closed. If you wish to attend, contact: firstname.lastname@example.org and email@example.com
You are welcome to give presentations, take a factory tour, join our Users' Meeting Dinner and take part in the various workshops and the round table discussions.
The meeting will take place at the Atlantic Grand Hotel in the city centre of Bremen, Germany, starting at 10:30 a.m. on Monday, December 10, 2018, and lasting until approx. 2:30 p.m. on Tuesday, December 11, 2018.
The registration fee for the meeting is 155 Euro which covers all coffee breaks, lunch on December 10 and 11, as well as the Users' Meeting Dinner on December 10 and the factory tour and transportation on December 11, 2018.
A block of hotel rooms has been reserved at the conference hotel. The room rate is 130 Euro per night including breakfast, WLAN. Bookings can be made directly at the Atlantic Grand Hotel by phone, fax, or email to firstname.lastname@example.org ideally before 14 October, 2018.
Atlantic Grand Bremen Hotel Bredenstraße 2 28195 Bremen Germany T: +49 421 620 620 F: +49 421 620 62500 E: email@example.com
Identify and quantify proteins in complex biological samples using Proteome Discoverer software. Proteome Discoverer software simplifies a wide range of proteomics workflows, from protein and peptide identification to PTM analysis to isobaric mass tagging and both SILAC and label-free quantitation. It supports multiple database search algorithms (SEQUEST, Z-Core, Mascot, and Byonic) and multiple dissociation techniques (CID, HCD, ETD, and EThcD) for more comprehensive analyses.
Streamline and customize high-resolution accurate-mass data analysis with Compound Discoverer small molecule identification software. Compound Discoverer simplifies and reduces processing clicks, enabling you to go from analysis to insight faster. Customizable node-based workflows, integrated compound identification capabilities, and statistical analysis all reduce the time involved in using multiple software tools to analyze results.
For further information or questions please contact Bernard Delanghe or Susanne Tobin.
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