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Related Concept Videos

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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.
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RNA-seq03:21

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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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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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Genome Annotation and Assembly03:36

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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Related Experiment Video

Updated: Sep 15, 2025

Ultra-long Read Sequencing for Whole Genomic DNA Analysis
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Joint processing of long- and short-read sequencing data with deep learning improves variant calling.

Gennaro Gambardella1

  • 1Telethon Institute of Genetics and Medicine, Naples, Italy; Scuola Superiore Meridionale, Genomics and Experimental Medicine Program, Naples, Italy.

Cell Reports Methods
|July 16, 2025
PubMed
Summary

This study introduces a hybrid sequencing approach combining short-read (Illumina) and long-read (Nanopore) data for improved germline variant detection. This method matches or exceeds current accuracy, offering cost savings and better detection of structural variations.

Keywords:
CP: Computational biologyCP: GeneticsDeepVariantGIABIlluminaNanoporedeep learninggermline variantshybrid variant callinglong readsrare genetic diseaseshort read

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Diagnostics

Background:

  • Current variant-calling methods predominantly use single sequencing data types (short-read or long-read).
  • There is a need for integrated approaches that leverage the complementary strengths of both sequencing technologies.
  • The Genome in a Bottle (GIAB) project provides valuable reference datasets for evaluating genomic analysis tools.

Purpose of the Study:

  • To evaluate the performance of a hybrid DeepVariant model for germline variant detection using harmonized Nanopore and Illumina sequencing data.
  • To explore the benefits of jointly processing long-read and short-read sequencing data.
  • To assess the potential of this hybrid approach for clinical applications, including rare genetic disease screening.

Main Methods:

  • Collected and harmonized Nanopore sequencing datasets from seven healthy individuals within the GIAB project.
  • Utilized three independent consortia for data collection and processing.
  • Applied a hybrid DeepVariant model to jointly analyze Illumina and Nanopore data for germline variant detection.

Main Results:

  • The hybrid long-short sequencing approach demonstrated comparable or superior germline variant detection accuracy to state-of-the-art single-technology methods.
  • This approach showed potential for reducing overall sequencing costs.
  • The method enabled the detection of large germline structural variations, which are often missed by short-read-only methods.

Conclusions:

  • A shallow hybrid long-short sequencing strategy significantly enhances germline variant detection accuracy.
  • This integrated approach offers a cost-effective and comprehensive solution for genomic analysis.
  • The findings support the application of hybrid sequencing in clinical settings for molecular diagnostics and rare genetic disease screening.