Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add more filters










Database
Language
Publication year range
1.
Genetica ; 131(3): 299-306, 2007 Nov.
Article in English | MEDLINE | ID: mdl-17279432

ABSTRACT

Since it was first recognised that eukaryotic genes are fragmented into coding segments (exons) separated by non-coding segments (introns), the reason for this phenomenon has been debated. There are two dominant theories: that the piecewise arrangement of genes allows functional protein domains, represented by exons, to recombine by shuffling to form novel proteins with combinations of functions; or that introns represent parasitic DNA that can infest the eukaryotic genome because it does not interfere grossly with the fitness of its host. Differing distributions of exon lengths are predicted by these two theories. In this paper we examine distributions of exon lengths for six different organisms and find that they offer empirical evidence that both theories may in part be correct.


Subject(s)
Exons/physiology , Introns/physiology , Models, Genetic , Empirical Research
2.
Anal Quant Cytol Histol ; 24(2): 121-4, 2002 Apr.
Article in English | MEDLINE | ID: mdl-12026050

ABSTRACT

OBJECTIVE: To construct a statistical model for the agreements and disagreements between two observers on darkness of staining. STUDY DESIGN: Data from an earlier observer-agreement study by van Diest et al were reanalyzed. RESULTS: A model in which the random variation in error is permitted to depend upon the true darkness of staining wasfound tofit the data much better than does one in which the random variation is constant. CONCLUSION: For the dataset analyzed, error tends to be greater (that is, correlation between observers tends to be less) when staining is darker.


Subject(s)
Cell Nucleus/pathology , Data Interpretation, Statistical , Models, Statistical , Observer Variation , Staining and Labeling , Breast Neoplasms/classification , Breast Neoplasms/pathology , Cell Nucleus/classification , Female , Humans , Immunohistochemistry , Reproducibility of Results
SELECTION OF CITATIONS
SEARCH DETAIL
...