High throughput PCR-based SARS-CoV-2 testing by DKMS Life Science Lab
DKMS Life Science Lab is one of the world's largest and most advanced genotyping service providers. During the pandemic they have started to support the SARS-CoV-2 testing with their chemagic™ 360 and MSM I instruments. In the following German publication from Biospektrum, they present now how they have increased their testing capacities to 25,000 SARS-CoV-2 samples / day. In addition, they show the successful pooling of six samples with minimal sensitivity loss. [2020-09-10]
Highest Sensitivity with PerkinElmer SARS-CoV-2 Testing Solutions
The new Nature Biotechnology publication follows up with the variety of EUA authorized SARS-CoV-2 virology tests and the need of standardization. PerkinElmer SARS-CoV-2 Testing Solutions have the lowest LOD (measured in copies / µl). [2020-09-01]
The great genome sequencing rush
Data is the new gold and, with the cost of sequencing steadily dropping, scientists are digging the genome goldmine with relentless enthusiasm. Automatization of the process workflow from DNA purification to data analysis and generation has introduced routine high-throughput processing, unleashing possibilities that go far beyond what anyone could expect just a few years ago. As a result, the field of genomics has expanded exponentially, affecting virtually every aspect of the biosciences.
Which kind of scientist are you?
Have you set up a reliable and optimized system for high-throughput nucleic acid purification, but suddenly the company providing the instrumentations and reagents announces that they are going to discontinue the products and the service? There might be some very valid reasons why that specific provider took that decision, but the net result is threatening your operations, and you need to make some critical decisions moving forward. What are you going to do now?
Batch effects and the reproducibility of genomic studies
Data reproducibility has recently become one of the most debated topics in the scientific community. The lack of reproducibility has been attributed to a combination of many different factors ranging from poor data collection practices to wrong and misleading analysis methodologies. Due to practical issues linked to the massive number of samples that are analyzed, the field of high-throughput genomics is particularly vulnerable to the problem of data reproducibility. A significant factor contributing to the lack of data reproducibility in genomics is represented by the so-called batch effects.