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Related Concept Videos

Next-generation Sequencing03:00

Next-generation Sequencing

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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.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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Related Experiment Video

Updated: Apr 1, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
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CRCDA--Comprehensive resources for cancer NGS data analysis.

Manonanthini Thangam1, Ramesh Kumar Gopal2

  • 1AU-KBC Research Centre, MIT Campus of Anna University, Chromepet, Chennai, India.

Database : the Journal of Biological Databases and Curation
|October 10, 2015
PubMed
Summary

Next-generation sequencing (NGS) has transformed cancer research. This portal offers a comprehensive, user-friendly collection of NGS tools and data analysis pipelines specifically for cancer genomics, transcriptomics, and epigenomics, aiding researchers in clinical oncology.

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Area of Science:

  • Bioinformatics
  • Genomics
  • Oncology

Background:

  • Next-generation sequencing (NGS) has revolutionized life sciences and clinical oncology.
  • NGS enables advanced diagnosis and treatment strategies for cancer.
  • Efficient analysis of NGS data is crucial for cancer research progress.

Purpose of the Study:

  • To create a comprehensive resource portal for cancer next-generation sequencing data analysis (CRCDA).
  • To consolidate diverse NGS tools, pipelines, cancer pathways, databases, and literature from PubMed.
  • To simplify the selection and configuration of NGS analysis tools for researchers.

Main Methods:

  • Categorization of NGS tools into cancer genomics, transcriptomics, epigenomics, quality control, and visualization.
  • Inclusion of pipelines for variant detection, quality control, and data analysis.
  • Development of an extensive search page querying data type (literature, gene, SRA) and cancer type (18 common cancers).

Main Results:

  • A curated collection of NGS tools and analysis pipelines for cancer research is presented.
  • The portal organizes resources for 18 common cancer types, including breast and colon cancer.
  • A user-friendly interface facilitates easy access to relevant tools and data for biologists and oncologists.

Conclusions:

  • The CRCDA portal provides a valuable, centralized resource for the NGS cancer research community.
  • It addresses the challenge of navigating and utilizing the vast array of available NGS analysis tools.
  • The website aims to streamline NGS data analysis, accelerating cancer research and clinical applications.