Computer-assisted search for sites of nuclear matrix attachment.
This communication describes a useful approach for assessing the significance of the occurrence of multiple motifs within defined segments of the genome. Regions of potential biological importance are identified using various sequence motifs, and then the results are displayed as their cumulative statistically weighted distribution. We illustrate the utility of this strategy to the search for known nuclear matrix-associated regions by its application to the human beta-globin and other loci.
Kramer
J A
JA
Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan 48201, USA.
Singh
G B
GB
Krawetz
S A
SA
D000465:Algorithms; D001665:Binding Sites; D005914:Globins / Q000235:genetics* / Q000378:metabolism; D006801:Humans; D009716:Numerical Analysis, Computer-Assisted; D011336:Probability
D005914:Globins