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Developing a digital histopathology platform to support an international diabetes biobank
Sucaet Yves,. Smeets Silke, Waelput Wim, In’t Veld P.eter

An online histopathology platform combines tissue samples and online digital histopathology images. We combine detailed online patient data with whole slide images. This allows potential users of the tissue bank material to select the tissue and patient characteristics before entering into a collaborative agreement. The digital histopathology platform also allows different pathology laboratories in Belgium to discuss histopathological slides, and facilitates research collaboration.

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MS Data Processing With Full Flexibility Of Universal Processing Software
Frans Schoutsen, Barbara van Cann, Vincent Jespers, Michal Godula

Liquid Chromatography (LC) in combination with triple quadrupole Mass Spectrometry (MS) is more and more a common analysis technique in routine laboratories. Especially when using MS/MS selected reaction monitoring (SRM) for a large number of components data handling can be a bottle neck. This poster will show MS data processing of pesticides in water samples using an already established chromatography data system which is now also capable of processing large quantities of MS data.

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A complete workflow from sample preparation to analysis using SureSelect target enrichment system for Ion Proton semiconductor sequencing
Christian Le Cocq, Kyeong Soo Jeong, Arjun Vadapalli, Joseph Ong, Elin Agne, Filip Karlsson, Ashutosh Ashutosh, Francisco Useche, Jayati Ghosh, Henrik Johansson, Scott Happe, Douglas Roberts, and Holly Hogrefe

Agilent’s SureSelect Target Enrichment for the Ion Proton Platform provides a comprehensive, efficient, robust, and cost-effective means to sequence subsets of the human genome.

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Automatic Characterization of Lipids Using Charge Remote Fragmentation Ions and Peaks Characteristic of Fatty Acid Fragmentation From MALDI MS/MS Data
Ningombam Sanjib Meitei*(1); Arun Apte(2); Dietmar Waidelich(3); Fadi Abdi(4); Matthias Glueckmann(3)

Automated identification of lipids using CRF ions and high energy MS/MS fragment ions and novel software.

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Automatic Characterization of Lipids Using Charge Remote Fragmentation Ions and Peaks Characteristic of Fatty Acid Fragmentation From MALDI MS/MS Data
Ningombam Sanjib Meitei*(1); Arun Apte(2); Dietmar Waidelich(3); Fadi Abdi(4); Matthias Glueckmann(3)

Automated identification of lipids using CRF ions and high energy MS/MS fragment ions and novel software.

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Coping with BIG DATA Image Formats: Integration of CBF, NeXus and HDF5, A Progress Report
Herbert J. Bernstein,[1] Jonathan M. Sloan,[2] Graeme Winter,[2] Tobias S. Richter,[2] NeXus International Advisory Committee,[3] Committee on the Maintenance of the CIF Standard[4]

The best of CBF/imgCIF (the Crystallographic Binary File, which has a complete description of the experiment), NeXus (a common data framework for neutron, X-ray and muon science, which gracefully handles large data sets) and HDF5 (Hierarchical Data Format, version 5, the high-performance data format used by NeXus) are being combined for the management of BIG DATA at synchrotrons.

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Design of Mixed-Criticality Applications on Distributed Real-Time Systems
Domit?ian Ta?mas?-Selicean and Paul Pop

In this thesis, we are interested in mixed-criticality applications (both in the safety and time domains) implemented using heterogeneous processing elements (PE) interconnected using TTEthernet. We address the problem of synthesizing mixed-criticality applications on partitioned architectures, at the PE level and at the communication level.

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ChemoSoft: a new chemometric software for non-chemometricians
Christophe B.Y. Cordella

Professional applications such as those provide by some software editors and free downloadable toolboxes developed for Matlab®, R, Octave or Scilab propose many computation tools. But, to our best knowledge, very few are usable by neophytes or anyone that are not skilled with chemometrics or statistics. ChemoSoft is the first chemometric software designed for non-chemometricians.

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Rapid Identification of Microorganisms by Touch Spray and Paper Spray Ambient Ionization
Ahmed M. Hamid, Alan K. Jarmusch, Valentina Pirro and R. Graham Cooks

The rapid and accurate identification of microorganisms is necessary in order to improve public health. Molecular-based identification allows for rapid patient treatment and provides more accurate diagnoses, two crucial aspects for successful treatment, yet a great challenge. In this work PS-MS, an existing ambient method, and TS-MS, a newly developed technique, are being utilized in the rapid discrimination of microorganisms (<2 min).

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Scientific News
Protein Nanocages Could Improve Drug Design and Delivery
HHMI scientists have designed and built 10 large protein icosahedra that are similar to viral capsids that carry viral DNA.
Connectome Map More Than Doubles Human Cortex’s Known Regions
Researchers at NIH have developed software that automatically detects the “fingerprint” of each of these areas in an individual’s brain scans.
Virus Inspired Cell Cargo Ships
Virus-inspired container design may lead to cell cargo ships following construction of ten large, two-component, icosahedral protein complexes.
Three-Drug Combinations Counter Antibiotic Resistance
Research shows that combinations of three different antibiotics can treat resistant bacteria, even if they are ineffective independently.
Supercomputing and Drug Discovery
New biotech company uses supercomputer simulations to speed up drug discovery and biotech molecule development.
Identifying Cancer Drug Targets Using 3D-Modelling
Researchers are now able to model genetic mutations manipulation of proteins that can potentially drive cancer.
Human Evolution Driven by Viruses
Study finds surprising percentage of protein adaptions in humans have been driven by viruses.
Earliest Sign of Alzheimer's Development Discovered
Researchers have identified the first physiological signs of late-onset Alzheimer's disease, underlining the importance of computational power in neurology.
Computational Method Offers Significant Boost in Finding New Cancer Targets
MIT and ARIAD Pharmaceuticals team have identified evidence of significant cancer mutations.
Drug Response Predicted by Cancer Cell Lines
Large-scale study could increase success rate of developing personalised cancer treatments.
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