Access

You are not currently logged in.

Access your personal account or get JSTOR access through your library or other institution:

login

Log in to your personal account or through your institution.

If You Use a Screen Reader

This content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.

Approximations for Expected Generation Number

D. J. Cole, M. S. Ridout, B. J. T. Morgan, L. J. Byrne and M. F. Tuite
Biometrics
Vol. 63, No. 4 (Dec., 2007), pp. 1023-1030
Stable URL: http://www.jstor.org/stable/4541455
Page Count: 8
  • Read Online (Free)
  • Download ($14.00)
  • Subscribe ($19.50)
  • Cite this Item
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Approximations for Expected Generation Number
Preview not available

Abstract

A deterministic formula is commonly used to approximate the expected generation number of a population of growing cells. However, this can give misleading results because it does not allow for natural variation in the times that individual cells take to reproduce. Here we present more accurate approximations for both symmetric and asymmetric cell division. Based on the first two moments of the generation time distribution, these approximations are also robust. We illustrate the improved approximations using data that arise from monitoring individual yeast cells under a microscope and also demonstrate how the approximations can be used when such detailed data are not available. /// On utilise couramment une formule déterministe pour apProximer le nombre de générations moyen d'une population de cellules croissante. Cependant, cette approche peut conduire à des résultats erronés parce qu'elle ne prend pas en compte les variations naturelles du temps de reproduction cellulaire d'une cellule à l'autre. Ici nous présentons des approximations plus précises à la fois pour la division cellulaire symétrique et la division cellulaire asymétrique. Basée sur les deux premiers moments de la distribution du temps de génération, ces approximations sont en outre robustes. Nous illustrons ces meilleures approximations avec des données issues de l'observation de cellules de levure individuelles au microscope et montrons également comment ces approximations peuvent être utilisées lorsque de telles données ne sont pas disponibles.

Page Thumbnails

  • Thumbnail: Page 
1023
    1023
  • Thumbnail: Page 
1024
    1024
  • Thumbnail: Page 
1025
    1025
  • Thumbnail: Page 
1026
    1026
  • Thumbnail: Page 
1027
    1027
  • Thumbnail: Page 
1028
    1028
  • Thumbnail: Page 
1029
    1029
  • Thumbnail: Page 
1030
    1030