Rates that match your budget

Our mission is to make excellent bioinformatics available to every scientist, which requires adjusting our rates to your budget. We provide three separate pricing categories based on the funding stage of your company:

  1. Academic or pre-funding
  2. VC-funded, private companies
  3. Publicly traded companies (post-IPO)

Academic

5 free credits on signup*, then

$75/credit

Compute costs included

Unlimited users

Pay only for approved answers

Free project/task planning

No monthly minimum

privately funded

5 free credits on signup*, then

$100/credit

Compute costs included

Unlimited users

Pay only for approved answers

Free project/task planning

10 credit monthly minimum

Publicly traded

5 free credits on signup*, then

$125/credit

Compute costs included

Unlimited users

Pay only for approved answers

Free project/task planning

20 credit monthly minimum

* Requires use of our standard Master Services Agreement


How much does a credit buy?

Credits are the currency of our data analysis marketplace. Below is our latest set of pricing guidelines for commonly encountered bioinformatics and data science tasks.

While the table above provides a guideline, we encounter new and unique categories of tasks on a regular basis, which we price on demand and then incorporate back into the guidelines. Additionally, the exact price for a task at any given time depends on the difficulty of the question, whether there is an urgent deadline, as well as the availability of Experts suited for your particular analysis.  Here are some examples:


Examples

Does p53 mutation knock down expression? 10 credits

Pricing categories:

  • Data integration (5 credits)
  • Stratification and cross-comparison (5 credits)

Methods and data

Data: TCGA mutation and gene expression Level 3 datasets

Method: Analyze p53 mRNA expression in the context of the different classes of p53 mutations, across all cancer types.

Deliverables

  • Table of p53 expression values (gene symbol TP53) across all TCGA patients, merged with p53 mutation status and mutation class (e.g., WT, missense, nonsense, etc.)
  • Plots comparing p53 expression in p53 WT vs all classes of p53 mutations

Answer

Mutations can be as effective as copy-number deletion for knocking down mRNA expression


Does Gene A expression correlate with Gene B expression? 3 credits

Pricing categories:

  • Correlation analysis (3 credits)

Methods and data

Data: Provided or public gene expression dataset

Method: Spearman correlation values of gene expression between two genes, compared to background distribution of correlations

Deliverables

  • Scatter plot of GeneA vs GeneB expression values
  • Pearson and Spearman correlations for GeneA vs GeneB expression
  • Mean, standard deviation and range of all expression correlation values between all pairs of genes
  • Distribution curve of expression correlation values for all genes, labeled with the value of GeneA vs GeneB

Answer

Analysis of whether the correlation is statistically significant, and interpretation of how it compares to the background distribution, including positive controls.


Is KRAS frequently mutated in lung cancer? 1 credit

Pricing categories

  • Data lookup (1 credit)

Methods and data

Data and figures downloaded from cBioPortal and inspected directly.

Deliverables

  • KRAS mutation rates for TCGA lung cancers, and stratification by mutation class and known hotspots.
  • Analysis and interpretation

Answer

Yes, in a cohort of 230 primary lung adenocarcinomas, KRAS was mutated in 76 (33%). All but 2 patients were mutated at position G12, most commonly the protein changes p.G12C and p.G12V.