Informatics
This section features DDW articles around informatics in drug discovery.
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Leveraging Research Informatics to Accelerate Drug Discovery By Dr Anirban Ghosh and Siddharth Sawhney
Research informatics has a vital array of tools which can advance the speed and success rate of drug discovery. This article discusses that if pharma companies want to benefit from these tools and are serious about overhauling their research capabilities, then they must realise that this is a major transformation effort encompassing complex inter-dependencies between data and visualisation, as well as collaboration and workflow.

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LIMS vs ELNs - Arch enemies or best of friends? By David Morris
Since the first appearance of laboratory information management systems (LIMS) in the late 1960s, this technology has become commonplace in many, if not most, research and commercial laboratories.

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Combining chemists expertise and a computer's advanced capabilities to generate good ideas. By Dr Matthew Segall, Edmund Champness, Dr Chris Leeding, Dr Ryan Lilien, Dr Ramgopal Mettu and Dr Brian Stevens Drug
One of the defining challenges of drug discovery is the need to make complex decisions regarding the design and selection of potential drug molecules based on a relative scarcity of experimental data.

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The Potential of Cloud Computing for Drug Discovery & Development By Peter Boogaard
Cloud collaboration has allowed projects of previously unimaginable scale and scope to be constructed at an unmet price/performance ratio.

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The Information Symphony: Data orchestration for a changing industry managing data on a platform for innovation. By Chris Molloy
A leading ballet conductor (1) recently told me of courses which he runs for senior business leaders. He allows them to conduct an orchestra: first, very strictly, with close direction applied to each instrument; he then shows them how to conduct the same score but harnessing the artistic talent of each group of players, encouraging active listening to each other and then adding a conductor's overall interpretation.

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Biological Analysis and Interpretation For Improved Research Outcomes By Dr Douglas Bassett
In the last few years, technological advancements in the life sciences have changed many ways in which we think about research. Next-generation sequencing, qPCR and microRNA offer new avenues to ask and answer research questions in more detail and in less time.

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Simultaneous Visualisation of Attrition and Timelines: Funnel Diagrams. By Dr Linda Hirons, Dr Craig Johnstone and Colin Sambrook-Smith
In drug discovery both attrition and timelines are important factors to consider when applying process improvement to lead optimisation. In our attempts to improve the visualisation of both of these factors simultaneously, we developed funnel diagrams, which allow turnaround time and percentage progression to be viewed in a glance. This tool has been rolled out to the whole of research, encouraging an open environment that involves everyone.

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Selecting a Lab Information Management System (LIMS) for Next-Generation Sequencing Research By Bruce Pharr and Dr Michael Kuzyk
Genomics has revolutionised the life sciences industry by combining human ingenuity with right-place/right-time serendipity. Advances in computer processing and storage have provided the bandwidth and throughput to enable the visionary science imagined by those pioneering the Human Genome Project.

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Biological Expression Language (BEL): Ringing In A Common Language For The Life Sciences By Ted Slater and Dr Diane H. Song
Established fields of study preserve their history and support advancement by developing and using a common language, without which those fields could not progress at a reasonable pace.

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Are Laboratories Truly Ready For Mobile Working? By Sarah Westall
It is not too long ago that mobile technology was limited to a certain few, but these days devices such as smartphones and tablets play an important part in many people’s working and personal lives.

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The Industrialisation of Bioinformatics By Dr Alex Titomirov
With the completion of the ‘draft’ sequence of the human genome predicting an estimate of 40,000-120,000 genes that describe us, the real work begins. The problem now is not lack of data but lack of tools to thoroughly analyse what we already have and what’s coming in the future will only make that chasm wider.

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The Integration Abyss By Dr Scott D. Kahn
The long-standing disconnect between target discovery/characterisation and compound discovery is a major challenge facing the pharmaceutical industry in its quest to develop innovative therapies from the wealth of information flowing from the human genome.

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Web-based Cheminformatics for Bench Chemists By Peter Ertl, Wolfgang Miltz, Bernhard Rohde and Paul Selzer
Readily accessible tools with easy to use interfaces, especially integrated into regularly used desktop applications, can improve the impact of cheminformatics in pharmacological research.

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Informatics
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