Next-generation sequencing (NGS) refers to the set of high-throughput sequencing technologies that emerged in the mid-2000s and collectively transformed the scale and scope of genomic research. Rather than sequencing individual DNA fragments one at a time as Sanger sequencing does, NGS platforms sequence millions to billions of fragments in parallel, reducing the cost of sequencing […]
DNA sequencing—determining the exact order of nucleotides in a DNA molecule—is the foundational technology of modern genomics. Since the first Sanger sequencing reactions in 1977, three generations of technology have emerged, each with distinct trade-offs in read length, throughput, accuracy, and cost. Selecting the right method for a specific biological question is no longer about […]
Amplicon sequencing—the targeted amplification and sequencing of specific genomic regions—is one of the most widely used and cost-effective NGS applications, enabling researchers to focus their sequencing budget on the regions that matter most for their specific research question. By focusing sequencing capacity on specific genomic loci rather than the entire genome or transcriptome, amplicon sequencing […]
The plant breeding landscape has undergone a fundamental transformation over the past decade. Where once breeders relied primarily on phenotypic observation and pedigree records, modern programs now integrate molecular markers at every stage—from germplasm characterization through marker-assisted selection (MAS) to genomic selection (GS). This shift has compressed breeding cycles, increased selection accuracy, and enabled the […]
Illumina sequencing by synthesis (SBS) has become the dominant platform in genomics not because it is simple, but because its underlying engineering—from surface chemistry to optical detection—has been refined through two decades of continuous innovation. Understanding what happens inside the sequencing instrument is essential for designing robust experiments, troubleshooting failed runs, and interpreting data quality […]
Meta Intent: Establish the mathematical and biological rationale for selecting ordination methods in complex microbiome, transcriptomic, and population-genetic datasets. High-dimensional omics data do not become simpler just because they are plotted in two dimensions. A PCA score plot, a PCoA map, and an NMDS ordination may all look like colored clusters on a page, but […]
RNA viruses are often introduced in the simplest possible way: viruses that use RNA rather than DNA as their genetic material. That definition is accurate, but it is not very useful at the bench. What matters in real workflows is not the label alone. What matters is what that RNA can do after entry, how […]
Not every genomics project needs whole-genome scale data. In many research settings, the real goal is much narrower: a defined set of loci, known hotspots, or a focused group of markers tied to a biological question. When that is the case, multiplex PCR sequencing offers a practical way to study multiple targets in a single […]
In the regulatory network of the human immune system, the human leukocyte antigen (HLA) gene family, which encodes the major histocompatibility complex (MHC), plays a central role in regulating immune responses and the genetic susceptibility mechanisms of diseases. HLA molecules mediate adaptive immune response through antigen presentation mechanism, and allelic variation caused by its high […]
In gene medicine, variant analysis helps doctors turn DNA data into useful health insights. The process starts by filtering out common gene changes using databases like gnomAD. Then, tools like CADD and REVEL predict if the remaining variants might cause problems. Other tools, such as SIFT and PolyPhen-2, check for protein damage, while SpliceAI finds […]
Sample Submission Guidelines