Sequencing Technologies
Sequencing Technologies - Related Videos
08:57
Amplicon Sequencing using the Long-Read Sequencing Technologies
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2025
This protocol was optimized for targeted deep sequencing of 18 drug-resistance regions in Mycobacterium tuberculosis using a long-read sequencing platform, followed by analysis with a tuberculosis-specific bioinformatics pipeline designed for long-read data.
10:26
Whole Genome Sequencing for Rapid Characterization of Rabies Virus Using Nanopore Technology
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Cited by 10 •
2023
Here, we present a rapid and cost-effective workflow for characterizing rabies virus (RABV) genomes using nanopore technology. The workflow is intended to support genomics-informed surveillance at a local level, providing information on circulating RABV lineages and their placement within regional phylogenies to guide rabies control measures.
09:45
Microfluidics-based High-throughput Circulating Tumor Cell Sorting and Single-cell Sequencing Technology
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2025
Circulating tumor cells (CTCs) are critical for the study of cancer progression and metastasis. This article presents a high-throughput, integrated protocol for CTC enrichment and single-CTC sequencing, improving capture efficiency and CTC purity while reducing contamination and sequencing costs, thereby advancing precision oncology research and clinical applications.
07:06
Principles of Site-Specific Recombinase (SSR) Technology
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Cited by 14 •
2008
The advent of site-specific recombinase (SSR) technology and the Cre/lox system has led to numerous advances in molecular biology, and has proven itself as a valuable tool for assessing gene function in transgenic animals. This interview discusses the mechanism of site specific recombination by Cyclization recombinase (Cre) and how the use of this enzyme has led to the development of conditional mutagenesis, which has significant advantages over traditional knock out strategies.
09:45
Detection of Copy Number Alterations Using Single Cell Sequencing
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Cited by 9 •
2017
Single cell sequencing is an increasingly popular and accessible tool for addressing genomic changes at high resolution. We provide a protocol that uses single cell sequencing to identify copy number alterations in single cells.
FAQs
Different platforms generate sequence information by detecting distinct molecular signals. Some measure signals released when complementary bases are incorporated into a growing strand, whereas others detect single molecules as they pass through a sensor. This distinction explains why sequencing technologies can produce different read types and support varied analysis strategies.
Short and long reads provide different inputs for computational assembly. Because assembly reconstructs sequence information from these reads, read length becomes an important platform characteristic when planning genome or transcriptome analysis. It also explains why sequencing technologies are compared not only by signal detection, but by the form of sequence data they produce.
These performance dimensions frame technology selection. Accuracy affects confidence in sequence results, read length affects the amount of sequence context available, throughput concerns how much data a platform can generate, and cost influences feasibility. Considering them together helps match a method to a biological objective and the resources available for a study.
A sequencing study moves from selecting a platform and generating reads to computational assembly and analysis. The platform determines the signal measured and whether the output consists of short or long reads. Computational steps then organize those reads and extract biological meaning, making platform choice and downstream analysis connected parts of the workflow.
Sequencing technologies support genome and transcriptome analysis, pathogen identification, mutation detection, evolutionary studies, and precision medicine. The appropriate use depends on the biological question and on platform characteristics such as accuracy, read length, throughput, and cost. This range makes sequencing relevant to both basic biological research and clinical investigation.
In these applications, sequencing data are analyzed for pathogen identification and mutation detection. The same molecular readout can therefore support both recognizing a biological agent and locating genetic changes. These uses illustrate how sequencing connects laboratory measurements with practical biological questions in research, clinical investigation, and precision medicine.