A Bayesian nonparametric method for prediction in EST analysis

BMC Bioinformatics

Table 2 Estimates for the Mastigamoeba libraries

%n	m	Expected number of new genes in a additional sample of size m	Probability of discovering a new gene at the (n + m + 1)-th read
Mastigamoeba non-normalized
50	358	180 ∈ (158 , 204)	0.481 ∈ (0.466 , 0.498)
100	715	346 ∈ (312 , 382)	0.452 ∈ (0.434 , 0.470)
150	1072	503 ∈ (458 , 550)	0.430 ∈ (0.411 , 0.449)
200	1430	654 ∈ (599 , 711)	0.412 ∈ (0.393 , 0.433)
250	1788	799 ∈ (734 , 866)	0.398 ∈ (0.379 , 0.419)
300	2145	939 ∈ (865 , 1015)	0.386 ∈ (0.367 , 0.407)
Mastigamoeba normalized
50	182	94 ∈ (79 , 111)	0.493 ∈ (0.475 , 0.512)
100	363	180 ∈ (156 , 206)	0.456 ∈ (0.434 , 0.479)
150	544	260 ∈ (229 , 293)	0.428 ∈ (0.406 , 0.452)
200	726	336 ∈ (299 , 375)	0.406 ∈ (0.384 , 0.430)
250	908	408 ∈ (365 , 453)	0.389 ∈ (0.366 , 0.412)
300	1089	477 ∈ (428 , 528)	0.374 ∈ (0.351 , 0.398)

Non-normalized and normalized Mastigamoeba 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