Skip to main content

Main menu

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Editorial Policies
    • Advertisers
    • Editorial Board
    • Special Issues
  • Journal Metrics
  • Other Publications
    • Anticancer Research
    • In Vivo
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
  • About Us
    • General Policy
    • Contact
  • Other Publications
    • Cancer Genomics & Proteomics
    • Anticancer Research
    • In Vivo

User menu

  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
Cancer Genomics & Proteomics
  • Other Publications
    • Cancer Genomics & Proteomics
    • Anticancer Research
    • In Vivo
  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart
Cancer Genomics & Proteomics

Advanced Search

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Editorial Policies
    • Advertisers
    • Editorial Board
    • Special Issues
  • Journal Metrics
  • Other Publications
    • Anticancer Research
    • In Vivo
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
  • About Us
    • General Policy
    • Contact
  • Visit iiar on Facebook
  • Follow us on Linkedin
Research ArticleArticles

Exploring Current Challenges and Perspectives for Automatic Reconstruction of Clonal Evolution

SARAH SANDMANN, SILJA RICHTER, XIAOYI JIANG and JULIAN VARGHESE
Cancer Genomics & Proteomics March 2022, 19 (2) 194-204; DOI: https://doi.org/10.21873/cgp.20314
SARAH SANDMANN
1Institute of Medical Informatics, University of Münster, Münster, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: sarah.sandmann{at}uni-muenster.de
SILJA RICHTER
1Institute of Medical Informatics, University of Münster, Münster, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
XIAOYI JIANG
2Department of Computer Science, University of Münster, Münster, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
JULIAN VARGHESE
1Institute of Medical Informatics, University of Münster, Münster, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    Overview of algorithms identified for clonal evolution analysis. Approaches are classified according to the three main tasks analyzing clonal evolution: clustering of variants, reconstruction of clonal evolution trees and visualization.

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    Visualization of clonal evolution analyzing two representative examples of data set 1 (linear: patient 4; branched dependent: patient 5). (A) Visualization of linear evolution using fishplot. (B) Visualization of linear evolution using timescape. (C) Visualization of branched dependent evolution using fishplot. (D) Visualization of branched dependent evolution using timescape.

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    Visualization of clonal evolution analyzing three representative examples of data set 2 (linear: UPN01; branched dependently: UPN03; branched independent: UPN09). (A) Visualization of linear evolution using fishplot. (B) Visualization of linear evolution using timescape. (C) Visualization of branched dependent evolution using fishplot. (D) Visualization of branched dependent evolution using timescape. (E) Visualization of branched independent evolution using fishplot. Of note, timescape does not support visualization of branched independent evolution.

Tables

  • Figures
  • Table I.
  • Table II.
  • Table III.
  • Table IV.
PreviousNext
Back to top

In this issue

Cancer Genomics - Proteomics: 19 (2)
Cancer Genomics & Proteomics
Vol. 19, Issue 2
March-April 2022
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
  • Back Matter (PDF)
  • Ed Board (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Cancer Genomics & Proteomics.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Exploring Current Challenges and Perspectives for Automatic Reconstruction of Clonal Evolution
(Your Name) has sent you a message from Cancer Genomics & Proteomics
(Your Name) thought you would like to see the Cancer Genomics & Proteomics web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
13 + 4 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Exploring Current Challenges and Perspectives for Automatic Reconstruction of Clonal Evolution
SARAH SANDMANN, SILJA RICHTER, XIAOYI JIANG, JULIAN VARGHESE
Cancer Genomics & Proteomics Mar 2022, 19 (2) 194-204; DOI: 10.21873/cgp.20314

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Reprints and Permissions
Share
Exploring Current Challenges and Perspectives for Automatic Reconstruction of Clonal Evolution
SARAH SANDMANN, SILJA RICHTER, XIAOYI JIANG, JULIAN VARGHESE
Cancer Genomics & Proteomics Mar 2022, 19 (2) 194-204; DOI: 10.21873/cgp.20314
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Materials and Methods
    • Results
    • Discussion
    • Acknowledgements
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • Elevated Stanniocalcin-1 Expression in Uveal Melanoma Predicts Poor Patient Prognosis
  • C1orf50 Drives Malignant Melanoma Progression Through the Regulation of Stemness
  • CRISPR/Cas9-mediated Knockout of LYVE1 In Human Tongue Cancer Cells Reveals Transcriptomic Changes in Metastasis-associated Pathways
Show more Articles

Keywords

  • Clonal evolution
  • clustering
  • tree reconstruction
  • variant integration
  • visualization
Cancer & Genome Proteomics

© 2026 Cancer Genomics & Proteomics

Powered by HighWire