Pricing

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^†)	($)	($)

<=4	1,650	var.
6	2,025	338
8	2,525	316
10	3,025	302
20	5,450	273
40	9,675	242
80	17,050	213
160	26,550	166

^†Prices for experiments with <40 million or >100 million reads per sample may 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 quantification, and computation of differential expression for all genes.

16S rRNA analyses

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

<10	3,000	Var.
20	4,500	225	500
40	6,000	150	500
60	8,100	135	500
80	9,600	120	500
100	11,000	110	500
150	15,000	100	500
200	18,000	90	500
>=250	Var.	80	500

^†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.