A Bayesian nonparametric method for prediction in EST analysis

BMC Bioinformatics

Table 3 Estimates for the Naeglaria libraries

%n	m	Expected number of new genes in an additional sample of size m	Probability of discovering a new gene at the (n + m + 1)-th read
Naegleria aerobic
50	480	162 ∈ (138 , 188)	0.318 ∈ (0.307 , 0.329)
100	959	307 ∈ (271 , 345)	0.290 ∈ (0.277 , 0.303)
150	1438	441 ∈ (394 , 488)	0.270 ∈ (0.257 , 0.282)
200	1918	566 ∈ (510 , 624)	0.254 ∈ (0.241 , 0.267)
250	2398	685 ∈ (619 , 751)	0.242 ∈ (0.229 , 0.255)
300	2877	798 ∈ (725 , 873)	0.231 ∈ (0.219 , 0.244)
Naegleria anaerobic
50	484	231 ∈ (206 , 258)	0.450 ∈ (0.440 , 0.461)
100	969	440 ∈ (402 , 478)	0.412 ∈ (0.400 , 0.424)
150	1454	632 ∈ (583 , 683)	0.384 ∈ (0.371 , 0.397)
200	1938	812 ∈ (753 , 873)	0.362 ∈ (0.349 , 0.375)
250	2422	983 ∈ (915 , 1053)	0.344 ∈ (0.332 , 0.357)
300	2907	1146 ∈ (1069 , 1225)	0.330 ∈ (0.317 , 0.342)

Naeglaria aerobic and anaerobic libraries: the first column provides the size of the additional sample in % of the size of the initial sample, the second the actual size of the additional survey, the third presents the expected number of new genes and the fourth the discovery probability. The estimates in the third and fourth column are accompanied by the 95% highest posterior density intervals.

ISSN: 1471-2105