CLASSIFY: A group teaching exercise in microbial identification and numerical taxonomy using a Commodore 64 microcomputer

1985 ◽  
Vol 19 (3) ◽  
pp. 232-236
Author(s):  
J. A. Soddell ◽  
R. J. Seviour
Keyword(s):  
Numerical Taxonomy ◽  
Microbial Identification

Numerical Taxonomy in Marketing Analysis: A Review Article

1968 ◽  
Vol 5 (1) ◽  
pp. 83-94 ◽  
Author(s):  
Ronald E. Frank ◽  
Paul E. Green
Keyword(s):  
Numerical Taxonomy ◽  
Review Article ◽  
Numerical Classification ◽  
Classification Problems ◽  
Recent Developments ◽  
Marketing Analysis

Recent developments in numerical taxonomy appear to show applicability for many classification problems in marketing. This review article describes some of the approaches to numerical classification and presents illustrative marketing applications. Current limitations of the procedures are also discussed.

scholarly journals Understanding Customer Value in Technology-Enabled Services: A Numerical Taxonomy Based on Usage and Utility

2015 ◽  
Vol 7 (3) ◽  
pp. 227-248 ◽  
Author(s):  
Min Kyung Lee ◽  
Rohit Verma ◽  
Aleda Roth
Keyword(s):  
Customer Value ◽  
Numerical Taxonomy

scholarly journals CSMD: a computational subtraction-based microbiome discovery pipeline for species-level characterization of clinical metagenomic samples

2019 ◽  
Author(s):  
Yu Liu ◽  
Paul W Bible ◽  
Bin Zou ◽  
Qiaoxing Liang ◽  
Cong Dong ◽  
...  
Keyword(s):  
Species Level ◽  
Supplementary Information ◽  
Clinical Samples ◽  
Plasma Dna ◽  
Bioinformatics Pipeline ◽  
Microbial Identification ◽  
Reference Databases ◽  
Microbial Dna ◽  
Higher Sensitivity

Abstract Motivation Microbiome analyses of clinical samples with low microbial biomass are challenging because of the very small quantities of microbial DNA relative to the human host, ubiquitous contaminating DNA in sequencing experiments and the large and rapidly growing microbial reference databases. Results We present computational subtraction-based microbiome discovery (CSMD), a bioinformatics pipeline specifically developed to generate accurate species-level microbiome profiles for clinical samples with low microbial loads. CSMD applies strategies for the maximal elimination of host sequences with minimal loss of microbial signal and effectively detects microorganisms present in the sample with minimal false positives using a stepwise convergent solution. CSMD was benchmarked in a comparative evaluation with other classic tools on previously published well-characterized datasets. It showed higher sensitivity and specificity in host sequence removal and higher specificity in microbial identification, which led to more accurate abundance estimation. All these features are integrated into a free and easy-to-use tool. Additionally, CSMD applied to cell-free plasma DNA showed that microbial diversity within these samples is substantially broader than previously believed. Availability and implementation CSMD is freely available at https://github.com/liuyu8721/csmd. Supplementary information Supplementary data are available at Bioinformatics online.

Intestinal microflora of the newborn rat as related to mammary, faecal, and vaginal Staphylococci strains isolated from the dam

1989 ◽  
Vol 35 (11) ◽  
pp. 989-993 ◽  
Author(s):  
A. Brunel ◽  
P. Gouet
Keyword(s):  
Numerical Taxonomy ◽  
Intestinal Microflora ◽  
Relative Importance ◽  
Newborn Rats ◽  
Newborn Rat ◽  
Degree Of Similarity

To determine the relative importance of maternal microflora (faeces, vagina, and teats) in the contamination of newborn rats, strains of staphylococci from six different families (dam + litter) were isolated. These strains were identified, and by means of numerical profiles analyzed for their degree of similarity for each litter and (or) biotope. The staphylococci strains found in the gut of the newborn rat originated first from the teats and thereafter from the faeces. Concomitant observation of some identical strains, however, suggested a certain degree of similarity between these two maternal biotopes in this animal.Key words: intestinal microflora, newborn, dam, staphylococci, numerical taxonomy.

scholarly journals Identification of Three Strains of Mycobacterium Species Isolated from Clinical Samples Using Fatty Acid Methyl Ester Profiling

2003 ◽  
Vol 31 (2) ◽  
pp. 133-140 ◽  
Author(s):  
A Ozbek ◽  
O Aktas
Keyword(s):  
Fatty Acid ◽  
Methyl Esters ◽  
Acid Methyl Ester ◽  
Cellular Fatty Acid ◽  
Clinical Samples ◽  
Identification System ◽  
Cyclopropane Fatty Acid ◽  
Mycobacterium Species ◽  
Microbial Identification ◽  
Acid Methyl

The cellular fatty acid profiles of 67 strains belonging to three different species of the genus Mycobacterium were determined by gas chromatography of the fatty acid methyl esters, using the MIDI Sherlock® Microbial Identification System (MIS). The species M. tuberculosis, M. xenopi and M. avium complex were clearly distinguishable and could be identified based on the presence and concentrations of 12 fatty acids: 14:0, 15:0, 16:1ω7c, 16:1ω6c, 16:0, 17:0, 18:2ω6,9c, 18:1ω9c, 18:0, 10Me-18:0 tuberculostearic acid, alcohol and cyclopropane. Fatty acid analysis showed that there is great homogeneity within and heterogeneity between Mycobacterium species. Thus the MIS is an accurate, efficient and relatively rapid method for the identification of mycobacteria.

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