Normalization of RNA-sequencing (RNA-seq) data has proven essential to ensure accurate inference of expression levels. Here, we show that usual normalization approaches mostly account for sequencing ...

We collected a unique pair of microRNA sequencing data sets for the same set of tumor samples; one data set was collected with and the other without uniform handling and balanced design. The former ...

In this editorial, Kenneth Oh overviews the two main normalization methods used to quantify western blots and discusses common errors to avoid. What is western blot normalization? Kenneth Oh is the ...

Western blotting is one of the most ubiquitous procedures used in the life science research lab today. Commonly used to assess relative protein expression differences, accurate Western blot ...

The one-stage method was carried out on several hundred subjects to find the limits of variation in nonhypoprothrombinemic states. As representative samples, the results on 12 normal subjects studied ...

Accordingly, improved systems and methods for de-identifying patient data are needed.” As a supplement to the background information on this patent application, NewsRx correspondents also obtained the ...

Comparison of expression data requires normalization. The optimum normalization method depends on sample type, with the most common being to normalize to reference genes. It is critical to select ...

Sunil Sharma is an edtech professional with over 12 years of experience in the education domain. He holds an M.Sc. in Mathematics from Chaudhary Charan Singh University, Meerut. He has worked as an ...