3 Crucial Tips for Data Processing and Analysis
How To Guide Apr 19, 2018 | By Lee Baker.
So you’ve collected your data and have a nice, clean dataset. Before you start your analyses, you need to get to know your data. Inspect each variable and decide to which data type they belong. From here, this will tell you which mathematical operations you can and can’t do with these data. This step can make or break your well-planned study.
Here we’re going to take a look at the different data types, learn to understand them and do calculations with them. By the time you’ve got to the end you’ll be able to put your new skills into practice in your data.
RELATED HOW TO GUIDES
When Single Molecule, Real-Time (SMRT) sequencing was first released, it promised a huge shift in our approach to sequencing – moving away from methods that had up to that point been validated and entrenched in labs across the world. In this guide, PacBio's Nick Sisneros provides some insight into SMRT Sequencing and the tips and tricks that will ensure success in the template prep and sample preparation for use on this sequencing platform.READ MORE
Like what you just read? You can find similar content on the communities below.Applied Sciences Biopharma Cancer Research Cell Science Diagnostics Drug Discovery Genomics Research Informatics Proteomics & Metabolomics Neuroscience Immunology & Microbiology
To personalize the content you see on Technology Networks homepage, Log In or Subscribe for FreeLOGIN SUBSCRIBE FOR FREE