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The Chemical Synthesis of Long and Highly Modified RNA using 2'-ACE Chemistry
Xiaoqin Cheng, Kristina Larson, Letitia Kwok, David Mierzejewski, Shawn Begay, Randy Rauen, Kelly Grimsley, Kaizhang He, Michael Delaney, David Kitchen, Amanda Haas, Melissa Kelley, Anja van Brabant Smith

Dharmacon has previously developed a novel RNA synthesis chemistry making RNA synthesis as reliable, accessible and of comparable quality as routinely observed in DNA synthesis.

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Platform Agnostic Data Processing Routine for Targeted and Untargeted Metabolite Identification in Drug Discovery
Richard Lee,1 Vitaly Lashin,2 Andrey Paramonov,2 Alexandr Sakharov,2 Alexey Aminov2

A discussion of a new informatics solution that addresses common challenges in metabolite identification and characterization--from LC/MS data processing and metabolites prediction to reporting and databasing of assembled biotransformation knowledge.

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Deep Phenotyping - Harnessing Data Richness for Unsupervised High-Content Analysis
Huang Dong, Wang Yi, Maciej Hermanowicz, Ke Yiping, Maja Choma, Lee Kee Khoon, Frederic Bard

Recognising the key challenges, we develop an end-to-end computational framework for HCA dubbed “Deep Phenotyping” that perform unsupervised analysis to leverage on the data richness for the discovery of unknown sub-phenotypes with minimal labeling cost.

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The Case for CASE: Computer-Assisted Structure Elucidation

Modern CASE systems such as Structure Elucidator Suite provide the necessary capability to accurately elucidate a novel chemical structure for complex molecules based on readily available NMR data sets. This allows organizations to avoid expensive, labor-intensive, and time-consuming synthetic efforts.

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A Unified Software Platform for Laboratory Informatics
Graham A. McGibbon, Hans de Bie, David Hardy, Ryan Sasaki, Patrick Wheeler, Carol Preisig

Reported here are capabilities in automated workflows involving analytical data with chemical structures. Specifically described is automated homogenization of data from a set of instruments, including NMR structure verification, as one solution.

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Addressing False Positive Variants Arising from Pseudogenes
Risha Govind1,2, Sam Wilkinson1,3, Nicola Whiffin1,2, Shibu John1,2, Rachel J. Buchan1,2, Elizabeth Edwards1,2, Deborah J. Morris-Rosendahl1,3, James S. Ware1,2, P.J. Barton1,2, Stuart A. Cook1,2

Clinical genetic testing has been transformed in recent years by the introduction of Next-Generation Sequencing (NGS).

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PredRet: Prediction of Retention Time by Direct Mapping between Multiple Chromatographic Systems
Jan Stanstrup, Steffen Neumann, Urška Vrhovšek

Retention time (RT) information is under-utilized in LC-MS based metabolomics and sharing of RTs between systems is not currently possible. PredRet is a new system that allows highly accurate mapping and prediction of RTs between LC systems.

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Building a digital pathology ecosystem for education and research
Yves Sucaet, Silke Smeets, Stijn Piessens, Sabrina D'Haese, Chris Groven, Wim Waelput, Peter In't Veld

We wanted to build a core digital pathology infrastructure to support different use cases. Various images platforms needed to be accessible through a single access point, and support different user profiles.

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Predicting Regioselectivityand Labilityof Cytochrome P450 Metabolism using Quantum Mechanical Simulations
Tyzack, Nicholas Foster, Peter Hunt, Matthew Segall

Predicting Regioselectivity and Lability of Cytochrome P450 Metabolism using Quantum Mechanical Simulations

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The Power Decoder simulator for the evaluation of pooled shRNA screen performance
Jesse Stombaugh, Abel Licon, Žaklina Strezoska, Joshua Stahl, Sarah Bael Anderson, Michael Banos, Anja van Brabant Smith, Amanda Birmingham, Annaleen Vermeulen

Power Decoder (written in R and Python) simulates shRNA pooled screening experiments in silico to allow for the estimation of a screen’s statistical power. Populations of shRNAs were engineered in such a way that the magnitude of depletion and enrichment was known, then using the negative binomial distribution, an in silico model was developed to successfully resemble data from an actual laboratory experiment.

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Scientific News
Integrated Omics Analysis
Studying multi-omics promises to give a more holistic picture of the organism and its place in its ecosystem, however despite the complexities involved those within the field are optimistic.
Salford Lung Study - The First Real World Clinical Trial
In this podcast, we learn about the Salford Lung Study and its potential to revolutionize the way we assess new drugs and treatments around the world.
Supercomputers Could Improve Cancer Diagnostics
Researchers push the boundaries of cancer research through high-performance computing to map the human immunone.
Systems Medicine – The Future Approach to Diseases
Review give insight into the future of understanding the body and its mechanisms through systems medicine.
Genetic Signature Linked to Cancer Prognosis Identified
The results of the analysis of 8,161 tissue samples could in the future help clinicians decide how best to treat a patient as well as aid the development of new targeted treatments.
Mapping the Human Immune System
Researchers try to harness supercomputers to create the first map of the human immune system.
Microsatellites Linked to Cancer
DNA repeat stretches, called microsatellites, play a greater role in cancer progression and survival that previously thought.
Universal Flu Vaccine Designed by Scientists
An international team of scientists have designed a new generation of universal flu vaccines to protect against future global pandemics that could kill millions.
Faecal Bacteria Linked to Body Fat
Researchers at King’s College London have found a new link between the diversity of bacteria in human poo – known as the human faecal microbiome - and levels of abdominal body fat.
NCI Collaborates with Multiple Myeloma Research Foundation
NCI collaborates with MMRF to incorporate genomic and clinical data into NCI Genomic Data Commons database.
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