Draft genome of a commonly misdiagnosed multidrug resistant pathogen Candida auris

BMC Genomics

Table 4 Genomic relatedness calculated using Genome-to-Genome Distance Calculator

Query genome	Reference genome	Formula 1 (HSP length/total length)				Formula 2 (identities/HSP length)				Formula 3 (identities/total length)
		DDH	Model C.I.	Distance	Prob. DDH ≥ 70 %	DDH	Model C.I.	Distance	Prob. DDH ≥ 70 %	DDH	Model C.I.	Distance	Prob. DDH ≥ 70 %
C. auris 6684	C. glabrata CBS 138	8.4	2.29	0.957	0	20.3	2.29	0.2049	0	9.7	2.29	0.9653	0
C. auris 6684	C. albicans SC5314	8.8	2.34	0.934	0	19.8	2.34	0.2107	0	10	2.34	0.9473	0
C. auris 6684	C. albicans WO-1	8.8	2.33	0.934	0	19.8	2.33	0.211	0	10	2.33	0.9478	0
C. auris 6684	C. lusitaniae ATCC 42720	10.4	2.48	0.856	0	19.2	2.48	0.2171	0	11.4	2.48	0.8866	0
C. auris 6684	S. cerevisiae S288c	8.4	2.29	0.958	0	20.4	2.29	0.2039	0	9.6	2.29	0.9667	0

Distances are calculated by (i) comparing two genomes using the BLAT program to obtain HSPs/MUMs and (ii) inferring distances from the set of HSPs/MUMs using three distinct formulas. The distances are transformed to values analogous to DDH. The DDH estimate results from a generalized linear model (GLM) which also provides the estimate’s confidence interval (after the +/− sign). An additional bootstrap confidence interval is listed if this option was chosen in the job submission form. Logistic regression (with a special type of GLM) is used for reporting both the probabilities that DDH is > =70 % and > =79 %. GGDC is mainly used to calculate the in silico relatedness of the species

ISSN: 1471-2164