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The latest in omics research, from discovery and multi-omics approaches through to diagnostics development

Spatial Revolution: Harnessing Spatial Technologies In The Clinic For A Healthier Tomorrow

Envisioning a future where spatial technologies pave the way for more accurate diagnoses, targeted treatments, and ultimately, improved patient outcomes. Download our eBook today!
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Top R&D Stories of 2023

Through captivating articles, insight pieces, and spotlight interviews, we delve into the remarkable innovations, breakthroughs, and scientific marvels that have defined the landscape of research over the past year.
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Single Cell Analysis

Research Spotlight: Multi-Omics Data Harmonization for SARS-CoV-2 Virus and Drug Target Identification

The approach to omic data analysis combines multiple types of omic datasets in the hope of understanding multiple layers of a biological system.
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Single Cell Analysis

Transforming Biomarker Development for Immunotherapy through Single Cell Spatial Phenotyping

On-Demand Webinar with Aditya Pratapa, Senior Data Scientist & Amélie Viratham at Akoya Biosciences
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Single Cell Analysis

Transforming Pharmaceutical Research: Exploring the Fundamental Techniques in Single Cell Metabolomics

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Single Cell Analysis

Comparing Mass Spectrometry and Single-Molecule Sequencing for Single-Cell Proteomics 

Advancements in mass spectrometry and single-molecule sequencing should accelerate protein analysis, assisting in approaches for cancer research and accessible single-cell measurements. 
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Single Cell Analysis

In Conversation With... Fan Zhang, Assistant Professor at the University of Colorado

Here, we speak to Fan Zhang, Assistant Professor at the University of Colorado, about the applications of computational biology in studying disease behaviour.
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Single Cell Analysis

10x Genomics and Single Cell RNA Sequencing: Interview with Philip Bischoff and Angela Churchill

Unlocking the potential for FFPE samples in advancing single-cell sequencing for tumour microenvironment research.
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Single Cell Analysis

Integrating Machine Learning into Single-Cell Omics Analysis

Machine learning methods can be hugely important in aiding the interpretation and integration of data generated through single-cell omics analysis, assisting in disease detection and modelling.
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Single Cell Analysis

AI Tool Could Predict Single Cell RNA Sequencing and Expression

A new AI model - scGPT - improves single cell RNA sequencing by predicting gene expression in individual cells, although it may be some time before it enters general use.
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Single Cell Analysis

Fuelling New Discoveries by Combining Single Cell and Spatial Transcriptomics

On-Demand Webinar featuring Didem Arikaya, Sr. Product Manager, Software at 10x Genomics
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Single Cell Analysis

Navigating Post-Translational Modifications in Single-Cell Analysis

What are the current opportunities and challenges facing single-cell analysis today? We ask key opinion leaders from Janssen Pharmaceuticals, SciLifeLab, and the Karolinska Institutet.
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Single Cell Analysis

Utilising Single-Cell Metabolomics to Reveal Metabolic Cell States

Single-cell metabolomics is a rapidly growing area of study within the field of molecular imaging. By applying metabolomic imaging techniques at a single-cell resolution, it can be used to investigate cellular progression in diseases such as NASH and liver cirrhosis.
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Single Cell Analysis

Current Bioinformatics Trends in Single-Cell Data Analysis: Good Practice Makes Perfect

Good quality samples are integral to single-cell data analysis, but maintaining sample integrity presents a logistical hurdle for bioinformatics teams worldwide. Read on to learn about how senior healthcare researchers circumvent the issues associated with sample degradation.
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