Academic Journal

[Quantitative processing of results of uniparametric fluorescent flow analysis of human chromosomes].

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: [Quantitative processing of results of uniparametric fluorescent flow analysis of human chromosomes].
Μεταγλωττισμένος Τίτλος: Kolichestvennaia obrabotka rezul'tatov odnoparametricheskogo fluorestsentnogo analiza khromosom cheloveka v potoke.
Συγγραφείς: Kravatskiĭ IuV, Poletaev AI
Πηγή: Molekuliarnaia biologiia [Mol Biol (Mosk)] 1994 Jul-Aug; Vol. 28 (4), pp. 887-99.
Τύπος έκδοσης: English Abstract; Journal Article
Γλώσσα: Russian
Στοιχεία περιοδικού: Publisher: Izdatelstvo Nauka Country of Publication: Russia (Federation) NLM ID: 0105454 Publication Model: Print Cited Medium: Print ISSN: 0026-8984 (Print) Linking ISSN: 00268984 NLM ISO Abbreviation: Mol Biol (Mosk) Subsets: MEDLINE
Imprint Name(s): Original Publication: Moskva : Izdatelstvo Nauka
Ιατρικοί όροι (MeSH): Chromosomes, Human*, Flow Cytometry/*methods, Algorithms ; Chromosome Aberrations ; Fourier Analysis ; Humans ; Karyotyping ; Microcomputers
Περίληψη: The proposed procedure of computer analysis of the flow karyotype data, obtained in human chromosomes studies, is able to provide information about the basic parameters of the karyotypes: the positions of the peaks (corresponding to the relative size of chromosomes), peaks areas (relative number of chromosomes in the sample), coefficients of variation (CV) of the peaks--possible differences between homologous chromosomes. The analysis is based on the assumption that all chromosomal components of the experimental distributions are normal (Gaussians). The algorithm of the analysis uses a combination of two approaches: truncation method and least squares method. As the flow data are "contaminated" by background components, special tools for filtering off the contaminating signals were designed including the original integral Fourier filtering procedure. This analysis is realized in a program package utilizing IBM-compatible PCs. The user is able to get the desired parameters for most chromosomes of the karyotype under study from univariate flow data: differences between particular homologous chromosomes, presence of chromosome aberrations, extra chromosomes, etc., since structural aberrations and chromosome number variation lead to specific changes of the parameters of chromosome-related components.
Entry Date(s): Date Created: 19940701 Date Completed: 19950112 Latest Revision: 20061115
Update Code: 20260130
PMID: 7990817
Βάση Δεδομένων: MEDLINE