The development of precise DNA editing nucleases that induce double-strand breaks (DSBs) - including zinc finger nucleases, TALENs, and CRISPR/Cas systems - has revolutionized gene editing and genome engineering. Endogenous DNA DSB repair mechanisms are often leveraged to enhance editing efficiency and precision. While the non-homologous end joining (NHEJ) and homologous recombination (HR) DNA DSB repair pathways have already been the topic of an excellent deal of investigation, an alternate pathway, microhomology-mediated end joining (MMEJ), remains relatively unexplored. However, the MMEJ pathway's ability to supply reproducible and efficient deletions within the course of repair makes it a perfect pathway to be used in gene knockouts. (Microhomology Evoked Deletion Judication EluciDation) may be a random forest machine learning-based method for predicting the extent to which the location of a targeted DNA DSB are going to be repaired using the MMEJ repair pathway. On an independent test set of 24 HeLa cell DSB sites, MEDJED achieved a Pearson coefficient of correlation (PCC) of 81.36%, Mean Absolute Error (MAE) of 10.96%, and Root Mean Square Error (RMSE) of13.09%. This performance demonstrates MEDJED's value as a tool for researchers who wish to leverage MMEJ to supply efficient and precise gene knock outs.

DNA sequencing methods were first developed more than 20 years ago with the publication of two approaches to sequencing methodology that became known as Sanger sequencing (1), based on enzymatic synthesis from a single-stranded DNA template with chain termination using dideoxynucleotides (ddNTPs) and Maxim-Gilbert sequencing (2),which involved chemical degradation ofend-radio-labeled DNA fragments. Both methods relied on four-lane,high resolution polyacrylamide gel electrophoresis to separate the labeled fragment and allow the base sequence to be read in a staggered ladder-like fashion. Sanger sequencing was technically easier and faster, and thus became the main DNA sequencing method for the vast majority of applications.

The incidence of diabetes mellitus (DM) is increasing globally and it is a major source of concern. This study was undertaken to assess the antidiabetic effect of the aqueous extract of Moringa oleifera, Ocimum gratissimum and Vernonia amygdalina. Sixty adult Wistar rats with body weight of 120-150 g were randomly assigned to groups of five rats each (n=12). Groups 1 served as normal control; Groups 2-5 were diabetic groups; group 2 served as negative control; group 3-5 received 100, 200 and 400 mg/kg of triherbal formula respectively. The body weight (BW) and fasting blood glucose level (FBSL) of the rats were monitored weekly. At the end of the experiment, all the rats were anaesthetized intraperitoneally (I.P) and blood samples were collected by cardiac puncture for biochemical analysis. There was an increase in the BW of the control group and varying doses of tri-herbal formation. It caused 88.0% decrease in FBSL; 371.7%, 386.6% and 296.0% with respect to 100, 200 and 400 mg/kg. Sub-chronic study of the effect of the extract showed a significant increase (P<0.05) in packed cell volume (PCV), white blood counts in rat induced diabetes. The histological studies showed that the diabetic rats with the architecture of the pancreas distorted, was restored to normal by the extract. Its LD50 was found to be greater than 1000 mg/kg indicating its safety in rats. This study has shown that triherbal formula has hypoglycemic and haematogical effects.

The world has now entered into a replacement era of genomics due to the continued advancements within the next generation high throughput sequencing technologies, which incorporates sequencing by synthesis-fluorescent in place sequencing (FISSEQ), pyrosequencing, sequencing by ligation using polony amplification, supported oligonucleotide detection (SOLiD), sequencing by hybridization alongside sequencing by ligation, and nanopore technology. Great impacts of those methods are often seen for solving the genome related problems of plant and Animalia which will open the door of a replacement era of genomics. This might ultimately overcome the Sanger sequencing that ruled for 30 years. NGS is predicted to advance and make the drug discovery process more rapid.