Ngs Sequencer
Ngs Sequencer - Related Videos
12:05
RIBO-seq in Bacteria: a Sample Collection and Library Preparation Protocol for NGS Sequencing
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Cited by 5 •
2021
Here we describe the stages of sample collection and preparation for RIBO-seq in bacteria. Sequencing of the libraries prepared according to these guidelines results in sufficient data for comprehensive bioinformatic analysis. The protocol we present is simple, uses standard laboratory equipment and takes seven days from lysis to obtaining libraries.
09:18
Mycobacterial DNA Extraction using Bead Beating in Custom Buffer Followed by NGS Workflow
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2025
This protocol shows bead-beating combined with DNA capture bead purification provides a fast and consistent method for extracting DNA from Mycobacterium tuberculosis samples, making it an effective choice for next-generation sequencing applications.
08:38
Targeted DNA Methylation Analysis by Next-generation Sequencing
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Cited by 83 •
2015
Bisulfite amplicon sequencing (BSAS) is a method for quantifying cytosine methylation in targeted genomic regions of interest. This method uses bisulfite conversion paired with PCR amplification of target regions prior to next-generation sequencing to produce absolute quantitation of DNA methylation at a base-specific level.
10:19
Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project
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Cited by 8 •
2017
Galaxy and DAVID have emerged as popular tools that allow investigators without bioinformatics training to analyze and interpret RNA-Seq data. We describe a protocol for C. elegans researchers to perform RNA-Seq experiments, access and process the dataset using Galaxy and obtain meaningful biological information from the gene lists using DAVID.
08:15
gDNA Enrichment by a Transposase-based Technology for NGS Analysis of the Whole Sequence of BRCA1, BRCA2, and 9 Genes Involved in DNA Damage Repair
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2014
gDNA enrichment for NGS sequencing is an easy and powerful tool for the study of constitutional mutations. In this article, we present the procedure to analyse simply the complete sequence of 11 genes involved in DNA damage repair.
FAQs
Each sequencing cycle links nucleotide incorporation to a detectable signal, and repeated cycles build the sequence information for individual DNA or RNA-derived fragments. Because many fragments are processed in parallel, the instrument generates a large collection of sequence reads in one run. These reads provide the raw material for identifying genetic features relevant to infection and immunity.
These configurations describe how fragments are presented for detection during sequencing. Fragments may be attached to a flow cell or another surface and amplified, or they may be analyzed as single molecules. The selected arrangement determines how the instrument captures signals from the material, while the resulting reads support downstream assembly or alignment.
Assembly combines sequence information from fragments to reconstruct broader genetic regions, whereas alignment compares reads with relevant reference sequences or genomic targets. Together, these computational approaches transform instrument output into interpretable findings, such as pathogen identification, mutation detection, antimicrobial-resistance genes, or patterns within immune-receptor repertoires.
The workflow begins with nucleic acid extraction, followed by library preparation that converts the recovered material into sequencing-ready fragments. Those fragments are then attached to a flow cell or another detection surface, or prepared for single-molecule analysis, depending on the sequencing configuration. This sequence of steps connects biological samples with instrument-readable signals.
It is useful when researchers need to examine genetic material across complex infection-related samples or track changes across groups and time. Supported applications include metagenomics, outbreak surveillance, pathogen identification, mutation analysis, and detection of antimicrobial-resistance genes. These uses allow studies to characterize infectious agents and investigate their genetic variation.
In immunology, the resulting sequence data can characterize immune-receptor repertoires and contribute to studies of host-pathogen interactions. The same platform can also support vaccine research by revealing genetic information associated with infectious organisms and host responses. This combination connects sequence-level measurements with questions about immune diversity and infection biology.