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Related Concept Videos

Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
Sanger Sequencing01:57

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...

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Related Experiment Video

Updated: Jun 21, 2026

Identification of Footprints of RNA:Protein Complexes via RNA Immunoprecipitation in Tandem Followed by Sequencing (RIPiT-Seq)
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Improved protocols for the illumina genome analyzer sequencing system.

Michael A Quail1, Harold Swerdlow, Daniel J Turner

  • 1Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, United Kingdom.

Current Protocols in Human Genetics
|July 8, 2009
PubMed
Summary

We optimized Illumina Genome Analyzer protocols for high-throughput sequencing. These enhancements improve reliability, reduce bias, and increase data yield for genomic research.

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Identification of Footprints of RNA:Protein Complexes via RNA Immunoprecipitation in Tandem Followed by Sequencing (RIPiT-Seq)
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Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
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Area of Science:

  • Genomics and Molecular Biology
  • High-Throughput Sequencing Technologies

Background:

  • Standard Illumina Genome Analyzer protocols present challenges in high-throughput environments.
  • Amplification bias and variable insert sizes can affect sequencing data quality and yield.

Purpose of the Study:

  • To describe protocol improvements for the Illumina Genome Analyzer.
  • To enhance reliability, reduce bias, and improve data yield in high-throughput sequencing.

Main Methods:

  • Modification of standard Illumina Genome Analyzer protocols.
  • Implementation of optimized steps for library preparation and cluster generation.

Main Results:

  • Increased reliability of the sequencing process in a high-throughput setting.
  • Reduced amplification bias leading to more uniform data representation.
  • Narrowed distribution of DNA insert sizes for improved library quality.
  • Consistently high yields of sequencing data achieved.

Conclusions:

  • The described protocol modifications significantly enhance the performance of the Illumina Genome Analyzer.
  • These improvements are crucial for robust and efficient genomic research in high-throughput settings.
  • Optimized protocols ensure higher quality data and greater experimental reproducibility.