LCMS webinars focusing on OMICS - page 22

We will present the next generation Thermo Scientific µPAC Neo columns, specifically designed to further push the nanoLC separations to achieve deeper proteomic coverage with shorter runtime.

We’ll discuss recent work in the development of deep generative modeling algorithms to enable chromatogram cleaning, de novo compound identification and metabolomics data synthesis and disentanglement.

You will discover ways to improve your protein extraction, such as by reducing workflow complexity, improving results from scarce samples, setting up robust assays and working with large sample cohorts.

In this webinar, the development and validation of the high-throughput, automated platform using model microbial organisms is described.

We will share how to use the affordable, small-footprint A200 and S-Trap 96-well plates to quickly and easily prepare samples for proteomics analysis without further method development.

Certain pathogens show increased biomass with SCFAs. This webinar explores how untargeted stable isotope-resolved metabolomics and Thermo Compound Discoverer software help study this effect.

We will cover a roadmap for single-cell proteomics parameter optimization for human immune cell profiling using the tandem mass tag (TMT) multiplexed SCoPE-MS methodology on Thermo Orbitrap Exploris 480 MS.

This webinar will discuss the challenges of automated proteomics sample preparation.

We will highlight the impact TIMS can have on separating metabolites for acquiring MS/MS fragmentation patterns and explore how TIMS is used in a variety of experimental workflows.

Single cell proteomics is a field in rapid development, enabled by significant technological improvements over the last years and it presents a key contribution to answer fundamental biological questions.