Banding Together: A Systematic Comparison of The Cancer Genome Atlas and the Mitelman Database.

Clicks: 208
ID: 39718
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #18 of 40 articles by views in Cancer research

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Cytogenetic aberrations at the single-cell level represent an important characteristic of cancer cells relevant to tumor evolution and prognosis. However, with the advent of The Cancer Genome Atlas (TCGA), there has been a major shift in cancer research to the use of data from aggregate cell populations. Given that tumor cells harbor hundreds to thousands of biologically relevant genetic alterations that manifest as intra-tumor heterogeneity, these aggregate analyses may miss alterations readily observable at single-cell resolution. Using the Mitelman Database of Chromosome Aberrations and Gene Fusions in Cancer (MD), we developed an algorithm to parse International System for Cytogenetic Nomenclature (ISCN) notation for quantitative abnormalities. Comparison of the MD and TCGA demonstrated that the MD is a powerful resource, and that cytogenetic aberrations captured by traditional approaches used in MD are on par with population-based genomic analyses used in TCGA. This algorithm will help non-specialists to overcome the challenges associated with the format and syntax of the MD.
Reference Key
denomy2019bandingcancer Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Denomy, Connor;Germain, Samuel;Haave, Bjorn;Vizeacoumar, Frederick S;Freywald, Andrew;Weaver, Beth A;Vizeacoumar, Franco J;
Journal Cancer research
Year 2019
DOI
canres.0585.2019
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.