For many labs, the days are long gone when it was acceptable to run only a few samples a week for your quantitative proteomics projects. The pressure for faster turn-around times, to support larger cohort studies, to sustain multiple research directions, and to transition from a purely unbiased discovery mode to verifying something truly unique and interesting, all demand a faster pace. Many labs are now being asked to analyze a hundred samples a week or more. In part 1 of this blog series, we saw how moving to a microflow SWATH workflow can dramatically increase your throughput with little compromise on overall results. In this part, we’ll address what to do with all of this data because it’s just no good if all we’ve done is move the bottleneck downstream.
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Industrialize Your Quantitative Proteomics with the OneOmics Project
For many labs, the days are long gone when it was acceptable to run only a few samples a week for your quantitative proteomics projects. The pressure for faster turn-around times, to support larger cohort studies, to sustain multiple research directions, and to transition from a purely unbiased discovery mode to verifying something truly unique and interesting, all demand a faster pace. Many labs are now being asked to analyze a hundred samples a week or more. In part 1 of this blog series, we saw how moving to a microflow SWATH workflow can dramatically increase your throughput with little compromise on overall results. In this part, we’ll address what to do with all of this data because it’s just no good if all we’ve done is move the bottleneck downstream.
Gain New Insights Into Human Spermatogenesis with this “Click & Easy” OneOmics Workflow
A recent webcast by Charles Pineau, Director of Protim, IRSET, Rennes, France, demonstrates how you can use the OneOmics™ Platform as a "Click & Easy" workflow for integrating next-generation proteomics (NGP) data with next-generation sequencing (NGS) data. Dr....
Analyze Large Omic Data Sets with Cloud Computing and See What More You Can Accomplish
Our scientific world is expanding. With each passing day, new discoveries are made, old discoveries are verified, and more data are generated. Large data sets are now the norm for omics experiments such as genomics, transcriptomics, proteomics, and metabolomics....
MultiOmics Research For the Study of Placental Development
A recent study by Katy Williams (UCSF), Christie Hunter (SCIEX), and Andrew Olsen (Advaita) used the iPathwayGuide within the OneOmics cloud computing environment to help understand how placental development can go awry during certain pregnancy complications such as pre-eclampsia.
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