Relation of genome sizes to organisms’ complexity is still described rather equivocally. Neither the number of genes (G-value), nor the total amount of DNA (Cvalue) correlates consistently with phenotype complexity. Using information theory considerations we developed a model that allows a quantative estimate for the amount of functional information in a genomic sequence. This model easily answ...

AIMS To see the possibility of particle size distribution analyser (PSDA) in detecting concentration of lactobacillus contaminants in yeast fermentation. METHODS AND RESULTS A PSDA was used to rapidly determine the size and concentration of lactobacillus and Saccharomyces cerevisiae. Data showed that the aerodynamic diameters of Lactobacillus casei and S. cerevisiae cells were around 0.63 and...

Biological nanoparticles (BNPs) are of high interest due to their key role in various biological processes and use as biomarkers. BNP size and composition are decisive for their functions, but simultaneous determination of both properties with high accuracy remains challenging. Optical microscopy allows precise determination of fluorescence/scattering intensity, but not the size of individual B...

Sample-size determination is often an important step in planning a statistical study—and it is usually a difficult one. Among the important hurdles to be surpassed, one must obtain an estimate of one or more error variances, and specify an effect size of importance. There is the temptation to take some shortcuts. This paper offers some suggestions for successful and meaningful sample-size deter...

Due to the high cost of failed runs and suboptimal data yields, quantification and determination of fragment size range are crucial steps in the library preparation process for massively parallel sequencing (or next-generation sequencing). Current library quality control methods commonly involve quantification using real-time quantitative PCR and size determination using gel or capillary electr...

Sample size determination for a data set is an important statistical process for analysing the data to an optimum level of accuracy and using minimum computational work. The applications of this process are credible in every domain which deals with large data sets and high computational work. This study uses Bayesian analysis for determination of minimum sample size of vibration signals to be c...

Objective: Chloride is the major plasma anion. There are several methods available for the determination of serum chloride levels. Unfortunately these methods are sometimes not available in the urgent setting where values are needed. Here we describe...