Thermo Fisher Scientific
The online registration is now closed. Should you wish to attend, please send an email directly to email@example.com and firstname.lastname@example.org.
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 09, 2019, and lasting until approx. 2:30 p.m. on Tuesday, December 10, 2019.
The registration fee for the meeting is 175 Euro which covers all coffee breaks, lunch on December 09 and 10, as well as the Users' Meeting Dinner on December 09 and the factory tour and transportation on December 10, 2019. Upon registration, we will contact you to verify your invoice address and send an invoice to you via email. Onsite payment by cash or credit card as well as online payment via PayPal or credit card are not possible.
A block of hotel rooms has been reserved at the conference hotel. The room rate is 130 Euro per night including breakfast and internet access. Bookings can be made directly at the Atlantic Grand Hotel by phone, fax, or email to email@example.com ideally before 14 October, 2019.
Atlantic Grand Bremen Hotel Bredenstraße 2 28195 Bremen Germany T: +49 421 620 620 F: +49 421 620 62500 E: firstname.lastname@example.org
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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