Catalogue / Prices

DNA microarrays and high throughput sequencing experiments can be directly ordered on the platform information system: Mediante. To Help you order please c.f.the How to order ?.

Library Preparation

  Académique Privé
Standard RNA/DNA library (x1) 230 350
Low Input RNA library (x12) 230 350
Single Cell RNA library (x96) 230 350


10xGenomics single-cell RNA-seq

  Académique Privé
100-10.000 cells profiling 1.820 2.560


Fluidigm C1 single-cell system

  Académique Privé
Fluidigm C1 LT IFC (96 cells) 1.510 2.710
Fluidigm C1 HT IFC (800 cells) 1.820 3.020


High throughput sequencing

  Académique Privé
Illumina Mid 150 (130M PE75 reads) 1.410 2.290
Illumina Mid 300 (130M PE150 reads) 1.980 2.860
Illumina High 75 (400M SE75 reads) 1.750 2.630
Illumina High 150 (400M PE75 reads) 2.940 3.820
Illumina High 300 (400M PE150 reads) 4.430 5.310
Séquençage Nanopore (MinION) 860 -


Bioinformatics analysis

  Académique Privé
Primary analaysis, Mediante storage and .fastq production (per sample) 20 60
Low input and Single Cell projects (C1 96 cells, 24 low-input samples) 460 960

For more information concerning what precisly includes the different analysis please refers to page Standard platform analysis

Recommanded actual Illumina standard for RNA transcriptome is 30M reads per samples for polyA library and 50M reads for ribo-depleted library. We also recommand to incorporate replicats in your experimental design to improve the following statistical analysis. For exemple if you are academic and wish to sequence 6 conditions in duplicate (12 samples) in a polyA experiment with paired-end 2x75b reads in a standard RNA-seq experiment, the final price of your experiment should be calculcated as followed:
Bank preparation: 12 x 230€ = 2.760€
12 samples on a Illumina High 150 (400M PE75 reads) run: 2.940€
Primary analysis: 12 x 20€ : 240€
Statistical analysis : 460€
Total = 6.400€

Note that NextSeq500 sequencer is abble to sequence in one run 130M reads in low output and 400M reads in a high output mode. Projects should fit in one of those amounts of reads in order not to merge projects in chips. Considering the former project we will run the NextSeq with a high output chip and generate 400M reads instead of the 360M ordered (no additionals charges).