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BioTuring enters collaboration to enable detailed single-cell RNA research

pharmaphorum

The collaboration aims to “close the gap between single-cell RNA sequencing wet-lab services and single-cell data analysis solutions,” which will allow scientists to study the finest details that can be hard to access. The post BioTuring enters collaboration to enable detailed single-cell RNA research appeared first on.

RNA 73
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U-M RNA scientists identify many genes involved in neuron development

Scienmag

Credit: Nigel Michki Neurons result from a highly complex and unique series of cell divisions. For example, in fruit flies, the process starts with stem cells that divide into mother cells (progenitor cells), that then divide into precursor cells that eventually become neurons.

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Damon Runyon Cancer Research Foundation names 2021 Quantitative Biology Fellows

Scienmag

Three cutting-edge scientists will apply computational approaches to cancer research The second class of Damon Runyon Quantitative Biology Fellows, announced this month, will apply the tools of computational biology to generate and interpret cancer research data at extraordinary scale and resolution.

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PanOmics: Advancing drug discovery

Drug Discovery World

Using classical bulk (deep) RNA-Seq on thousands of human blood and tissue samples, Evotec has been building a high-quality molecular patient database – E.MPD. With the ability to analyse thousands of proteins simultaneously, proteomics empowers scientists to reveal previously unknown protein interactions, pathways, and drug targets.

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Looking ahead to AACR  

Drug Discovery World

The workshop will be led by hfp consulting, a firm which specialises in career development and leadership training for scientists. Science ↔ Survivor Program As mentioned previously, AACR has a Scientist↔Survivor Program.

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How big data analytics can make personalised care a reality

Drug Discovery World

Johannes Goll, Global Head of Emmes’ Biomedical Data Science and Bioinformatics department, explains how big data analytics can deliver improved therapies and bring clinical research one step close to realising the potential of personalised care. Figure 2: Advanced data visualisation examples for transcriptomics data.

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Big data – charting a new path to drug discovery and development

Drug Discovery World

Now, with the growth of publicly available genomics, transcriptomics, and proteomics databases, the ability to quickly carry out large-scale DNA, RNA, and protein screenings, and the availability of massive sets of de-identified patient data, the amount of high-value, analysable data has reached enormous proportions.