NGS

Next-generation sequencing (NGS) has revolutionized our ability to study genomes. It allows us to generate massive amounts of data, revealing the genetic code in incredible detail. But this data is just the raw material. To unlock its secrets, we need to analyze it. In this blog, we’ll delve into the world of NGS data analysis, […]

Pregnant women have long faced the dilemma of balancing their desire for information about their developing baby with the risks associated with invasive prenatal testing procedures. Thankfully, NGS-based Non-invasive prenatal testing (NIPT) offers a revolutionary approach, providing valuable insights into fetal health without the risks of traditional methods. This blog delves deep into NIPT, exploring

DNA sequencing is the process of determining the order of nucleotides (A, T, C, and G) in a DNA molecule. This information is essential for understanding the genetic basis of life, health, and disease. However, not all DNA sequencing methods are the same. Depending on the technology used, the length of the DNA fragments that

Introduction Computer-Aided Drug Design (CADD) is a dynamic field that bridges the gap between biology, chemistry, and computational science. It plays a pivotal role in drug discovery by leveraging computational techniques to design and optimize potential drug candidates. If you’ve recently completed an internship in this exciting domain, you’re well on your way to a

NGS analysis of cell-free DNA (cfDNA) is a rapidly advancing field with diverse applications in personalized medicine, particularly in the context of cancer diagnosis, treatment, and prognosis. This blog will provide an introduction to NGS and cfDNA, discuss NGS analysis methods, explore the applications of NGS in cfDNA, and address the challenges and future prospects

Next-generation sequencing (NGS) is a powerful technology that enables rapid and comprehensive analysis of genetic variation in various samples. NGS can be used for different applications, such as diagnosing inherited diseases, identifying cancer mutations, detecting infectious agents, and studying pharmacogenomics. However, NGS also generates a large amount of data that can be challenging to interpret

Sequencing platforms, essential technologies for determining nucleotide order in DNA or RNA, have brought about a revolution in genomics, molecular biology, and biotechnology. These platforms empower researchers to delve into the genetic foundations of life, disease, and evolution. With distinct advantages and limitations, various types of sequencing platforms exist, particularly next-generation sequencing (NGS) platforms. These

Biological networks play a crucial role in understanding complex biological systems, discovering disease mechanisms, and identifying potential therapeutic targets. With the explosion of biological data, including biomolecule interactions and genomic information, there’s a growing need for robust algorithms to analyze these networks effectively. Deep Learning: A Powerful Approach Deep learning, a subset of machine learning,

Food allergies are complex and multifactorial conditions, involving a interplay of environmental and genetic factors, gene-environment interactions, and immune responses mediated by food-specific immunoglobulin E (IgE) and type 2 immune responses. The prevalence of food allergies in children has surged, affecting nearly 8% of this population and standing as the primary cause of anaphylaxis and

Motif discovery is a critical aspect of various scientific disciplines, including bioinformatics, genetics, and data mining. It involves the identification of recurring patterns or motifs within datasets, providing valuable insights into the underlying structures and functions. This blog delves into the significance of motif discovery, its applications across different domains, and the methodologies employed to