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Sample Pricing

Prices for individual projects will depend on the size and demands of the project, including the need for designing custom solutions. While we cannot estimate the needs for each type of analysis, some examples are listed below. Please contact us for a more specific solution and pricing for your project. If you are preparing a grant proposal, please allow at least one week for a custom quote and to discuss your specific needs and analyses.

RNA-seq analyses

Samples Price estimate Price per sample
(40-100 M reads/sample) ($) ($)



2 1,450 725
3 1,850 617
4 2,300 575
5 2,750 550
6 3,150 525
7 3,575 510
8 4,050 506
9 4,475 497
10 4,950 495
20 8,800 440
40 15,525 388
60 20,700 345
80 24,400 305
100 27,300 273
150 34,500 230
200 40,000 200
>200 Var. 200
Prices for experiments with <40 million or >100 million reads will vary.


Prices apply to basic RNA-seq analyses with 40-100 million reads per sample. A basic RNA-seq analysis involves read mapping and quality control, transcript assembly and quantitation, and computation of differential expression and, where applicable, differential splicing, for all genes.

16S rRNA analyses

Samples Estimated price Price per sample Price for each additional
(with up to 2 comparisons) ($) ($) comparison (%)




<20 2,000 Var. 25%
40 3,500 88 25%
60 5,000 83 20%
80 6,500 81 15%
100 8,000 80 10%
150 11,000 73 5%
200 14,000 70 2%
250 16,500 66 2%
300 19,000 63 1%
350 21,500 61 1%
Prices for analyses including up to 2 comparisons.
Additional costs per comparison apply to comparisons beyond the two included.


Prices apply to basic 16S rRNA analyses with up to two comparisons. A basic 16S rRNA analysis includes read quality control, OTU assignment, calculation of α and β (PCA) diversity values, and differential taxa analysis, using the QIIME2 and MetaStats packages with the GreenGenes database. Additional costs apply to changes in protocol, and for each additional comparison. For example, an analysis to determine differential taxa in a group of patients before and after treatment includes one comparison. An analysis of patient data before and after treatment, differentiated by the type of treatment, includes two comparisons. An analysis of patient data before and after treatment, separately by type of treatment, and differentiated by gender, entails three comparisons.