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CancerVar: A New Bioinformatics Tool Developed for Clinical Interpretation of Cancer Mutations

XTalks

CancerVar will help researchers standardize and automate clinical interpretations for 13 million somatic mutations from 1,911 cancer census genes. The gene mutations that cause sporadic cancer occur only in the tumor cells and are acquired during an individual’s life, not inherited.

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Sensyne, Oxford University deploy AI to find asthma targets

pharmaphorum

The three-year project – led by respiratory medicine expert Dr Timothy Hinks from the Oxford University Respiratory Medicine Unit – will use whole-genome sequencing of around 500 patients with severe asthma, comparing their gene sequences with control subjects who don’t have asthma.

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PanOmics: Advancing drug discovery

Drug Discovery World

The technologies cover the whole range of biomolecules from genes to protein to metabolites. While we are using standard commercially available processes for genomics, we have invested massively into high-throughput and high-resolution transcriptomics, proteomics, and metabolomics methods. phosphorylations or ubiquitinations).

Drugs 52
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The future of genomic medicine: can it fulfil its promises?

pharmaphorum

Here he gives us a deeper look at how genomic medicine is evolving and the barriers that are preventing it from reaching its full potential. I saw this, in particular, with the finishing of the human genome,” says Charlie. “At In reality, finishing the human genome was the first step of what is a long journey.”.

Genome 119
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Spatial Genomics, Transcriptomics and Proteomics Solutions – An Amelioration of Tissue Analytics

Roots Analysis

Recent advances in multi-omics approaches, including genomics, transcriptomics, proteomics, metabolomics, cytometry and imaging, in combination with bioinformatics and biostatistics, have been translated into several popular bioanalytical platforms, such as next-generation sequencing (NGS), single-cell analysis, flow cytometry and mass spectrometry.

Genome 52
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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.

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Could elephant genes hold the key to avoiding cancers?

Drug Discovery World

Scientists modelling the cancer-suppressing p53 gene identify how the 20 different molecules unique to elephants get activated for increased sensitivity and response against carcinogenic conditions – with implications for cancer treatments in humans.

Gene 52