Anda belum login :: 07 Jun 2025 03:20 WIB
Home
|
Logon
Hidden
»
Administration
»
Collection Detail
Detail
Impact of 16S rRNA Gene Sequence Analysis for Identification of Bacteria on Clinical Microbiology and Infectious Diseases (in Clinical Microbiology Reviews, Oct. 2004, p. 840–862 Vol. 17, No. 4)
Bibliografi
Author:
Clarridge, Jill E.
Topik:
16S rRNA
;
Identification of Bacteria
;
Clinical Microbiology and Infectious Diseases
Bahasa:
(EN )
Tahun Terbit:
2004
Jenis:
Article - diterbitkan di jurnal ilmiah internasional
Fulltext:
840.pdf
(288.69KB;
0 download
)
Abstract
One area within the practice of clinical microbiology is the craft of putting scientific names to microbial isolates. This is usually done with the intent of giving insight into the etiological agent causing an infectious disease, including pathological associations and possible effective antimicrobial therapy. The historical method for performing this task is dependent on the comparison of an accurate morphologic and phenotypic description of type strains or typical strains with the accurate morphologic and phenotypic description of the isolate to be identified. Microbiologists authoring standard references such as Bergey’s Manual of Systematic Bacteriology or the Manual of Clinical Microbiology or compiling results from well-characterized strains such as those found at the Centers for Disease Control and Prevention or the American Type Culture Collection (ATCC) would publish tables summarizing the characteristics of each species of bacteria (35, 54, 60). Clinical microbiologists would try to match the results for their unknown clinical strain with a group in these tables. Not infrequently, there would be no perfect match and a judgment would have to be made about the most probable identification. Although various schema and computer programs were devised to help in these judgements, identification could vary among laboratories (96).
Opini Anda
Klik untuk menuliskan opini Anda tentang koleksi ini!
Lihat Sejarah Pengadaan
Konversi Metadata
Kembali
Process time: 0.09375 second(s)