Biology subjects

Mahmood, R.

Publications and source records attributed to Mahmood, R..

2 recordsLinked to original sources

bioRxiv2023

Proportionality-based association metrics in count compositional data

MotivationCompositional data comprise vectors that describe the constituent parts of a whole. Data arising from various -omics platforms such as 16S and RNA-sequencing are compositional in nature. However, correlations between features on raw counts have no meaningful interpretation. Metrics of proportionality were formulated to address this problem. However, there is an inherent bias that arises when calculating these metrics empirically on count-based measures due to variability in read depths. ResultsWe quantify the bias introduced by empirically calculating proportionality-based association metrics in count data. Additionally, we propose a means of estimating these metrics within a logit-normal multinomial model in pursuit of more accurate estimates. The model-based estimates are shown to outperform empirical estimates in simulated data, and are additionally applied to a mouse embryonic stem-cell single-cell sequencing dataset as well as a pediatric-onset multiple sclerosis metagenomic dataset. Availability and ImplementationAn R package is available at https://CRAN.R-project.org/package=countprop. Supplementary informationSupplementary data are available at Bioinformatics online.

bioinformatics↗

bioRxiv2021

Relationing of Labellum and Glossae Biomorphological characteristics of honeybee workers as breeding tool on honey collection potential of Apis mellifera L. honeybee colonies

This study focused on the correlation of honey collection Potential and the length and width of labellum and glossae in worker honey bees (Apis mellifera Ligustica). Sixty honeybee A. mellifera L. colonies were selected, among these 60 colonies, 3 worker bees were sampled from each colony total numbers of samples collected were 180 adult worker foraging bees. Fifteen colonies for each group were used to check the correlation of honey production with length of labellum, width of labellum, length of glossae and the width of glossae respectively. These worker bees were bought to the laboratory frozen, boiled, dissected and mounted on the slides. Measurements of the labellum length, labellum width, glossae length and glossae width were taken by the stereomicroscope with ocular micrometer at 0.8X magnification. Correlation values for the honey collectionand length and width of labellum and glossae were high and positive. These Results support the perception that worker bees with larger labellum and glossae have more ability for honey collection Potential. It is concluded that Biomorphological characters of labellum and glossae are significantly correlated with the honeycollection Potential in A. mellifera L.

zoology↗