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An Overview Polyacrylamide gel electrophoresis, or PAGE, is a powerful tool used by scientists to separate and analyse proteins, DNA, and RNA. This technique is widely used in various fields, including biochemistry, molecular biology, genetics, and proteomics, to study the properties of macromolecules and their interactions. Polyacrylamide Gel Electrophoresis with 15-Lane Blue Loading Buffer Given below is the purpose of polyacrylamide gel electrophoresis, its history, and how it works. We will also elucidate the different types of PAGE and their applications, as well as the advantages and limitations of this technique. History of Polyacrylamide Gel Electrophoresis The development of ... Read More
What is Synthetic Seed Technology? Synthetic seed technology is a plant biotechnology technique that involves the production of artificial seeds from plant embryos. The process of producing synthetic seeds involves encapsulating a somatic embryo or shoot-tip culture in a protective coating. The protective coating is composed of a mixture of gelling agents, nutrients, and growth regulators that promote the growth and development of the plant embryo. Synthetic seeds offer several advantages over conventional seeds. They are easier to handle, transport, and store. They can also be used for planting in areas with adverse environmental conditions, such as drought-prone regions ... Read More
Introduction Gel electrophoresis is a widely used analytical technique in molecular biology and biochemistry that allows the separation of DNA, RNA, and protein molecules based on their size, charge, and other physical properties. It is a simple and effective way to isolate and purify specific molecules from complex mixtures, such as DNA fragments, RNA transcripts, or proteins. Gel electrophoresis is used in a variety of applications, including genetic research, medical diagnostics, and biotechnology. Herewith is a comprehensive overview of gel electrophoresis, including its definition, principle, steps, and uses. Definition of Gel Electrophoresis Gel electrophoresis is a laboratory technique used ... Read More
Introduction Affinity chromatography is a powerful technique used in the field of biochemistry to separate and purify proteins, enzymes, and other biomolecules from a complex mixture of biological samples. This technique relies on the specific interaction between a target molecule and a ligand that is immobilized on a chromatographic support. Affinity chromatography is widely used in the purification of biological molecules, and its success can be attributed to its high specificity, high yield, and ease of use. Affinity chromatography used in isolation of biological molecules Given below is an overview of the principles, techniques, and applications of affinity ... Read More
An Insight Bacterial growth curve is a graphical representation of the growth rate of bacteria in a closed environment. It provides us with a valuable insight into the life cycle of bacteria and their behaviour under different environmental conditions. A typical bacterial growth curve consists of four phases − Lag phase. Exponential phase. Stationary phase. Death phase. Topic herewith discusses the phases in detail. Lag Phase The lag phase is the first phase of the bacterial growth curve. In this phase, bacteria are adjusting to their new environment and preparing for growth. During this phase, there is ... Read More
Introduction The quality and representativeness of the data used to train and test a machine learning model significantly impact its success. The distribution of training and test data is a key factor in determining the quality of the data. The distribution of training data is the probability distribution of the input data used to train a machine learning model. In contrast, the probability distribution of the input data used to assess the model's effectiveness is referred to as the distribution of test data. This article will examine the variations in training and test data distributions and how they may affect ... Read More
Introduction Logistic Regression is a widely used statistical technique applied in various fields to model the relationship between a binary response variable and a set of predictor variables. This technique is an extension of linear Regression, where the dependent variable is transformed to a logit function to ensure that the predictions lie within the range of 0 and 1. In this article, we will discuss the implications of having two highly correlated predictors in a logistic regression model and the steps that can be taken to address this issue. Logistic Regression: Dealing with Highly Correlated Predictors Correlation among predictors in ... Read More
Introduction Linear regression is a widely used statistical method for modelling the relationship between a dependent variable and one or more independent variables. It is based on the linear relationship between the variables and is widely used in various fields, including economics, psychology, and engineering. However, certain assumptions must be met for the results of linear regression analysis to be meaningful and accurate. One of these assumptions is the assumption of multivariate normality. Multivariate normality assumes that the residuals, or the difference between the observed and predicted values, are normally distributed. This assumption is important because it allows for various ... Read More
Introduction Data science, analytics, artificial intelligence (AI), machine learning (ML), and other quickly developing topics are revolutionizing various sectors. New trends influencing these fields' future are emerging as technology develops. This post will examine some of the most significant trends in analytics, data science, and AI/ML. These trends, which range from the democratization of AI/ML to its application for social good, can completely alter how we communicate, work, and live. Understanding these patterns will help us take advantage of the opportunities they bring and better position ourselves for the future. Trends Trends in AI/ML At an unprecedented rate, machine learning ... Read More
Introduction Set-based and cursor-based solutions are the two main methods of manipulating data when working with databases. Cursor-based solutions process data row by row using procedural programming structures, whereas set-based solutions process whole sets of data at once using SQL commands. The decision between the two ways depends on the requirements of the current challenge. Both have benefits and drawbacks. We will go into detail about the primary distinctions between set-based and cursor-based solutions in the essay's main body. We looked at the benefits and drawbacks of each strategy and emphasized the circumstances in which one strategy would be more ... Read More