">

Choose the system configuration that meets your throughput, turnaround time, and budget needs.

 


Choose your system

 

Ion GeneStudio S5 System

Ion GeneStudio S5 Plus System

Ion GeneStudio S5 Prime System

Max. throughput/day (chip type)

15 Gb
(one Ion 540 Chip)

30 Gb
(two Ion 540 chips)

50 Gb
(two Ion 550 chips)

Total sequencing and analysis time at max. throughput

19 hr (Ion 540 Chip)

10 hr (Ion 540 Chip)
11.5 hr (Ion 550 Chip)

6.5 hr (Ion 540 Chip)
8.5 hr (Ion 550 Chip)

Compatible chips

Ion 510, 520, 530, 540 chips

Ion 510, 520, 530, 540, and 550 chips


Detailed system specs

Flexibility in throughput and workflow for a broad range of NGS applications

 

Chip type

 

Number of  reads

 

Read length (output) 

Ion GeneStudio S5 System

Ion GeneStudio S5 Plus System

Ion GeneStudio S5 Prime System

Turnaround time (sequencing run* and analysis time)

Ion 510 Chip

2–3M

200 bp (0.3–0.5 Gb)

4.5 hr

3 hr

3 hr

400 bp (0.6–1 Gb)

10.5 hr

5 hr

5 hr

 

Ion 520 Chip

4–6M

200 bp (0.6–1 Gb)

7.5 hr

3.5 hr

3 hr

400 bp (1.2–2 Gb)

12 hr

5.5 hr

5.5 hr

3–4M

600 bp (0.5–1.5 Gb)

12 hr

5.5 hr

5.5 hr

 

 Ion 530 Chip

 

 15–20M

200 bp (3–4 Gb)

10.5 hr

5 hr

4 hr

400 bp
(6-8 Gb)

21.5 hr

8 hr

6.5 hr

9–12M

600 bp (1.5–4.5 Gb)

21 hr

8 hr

7 hr

 

Ion 540 Chip

60–80M

200 bp (10–15 Gb)

19 hr

10 hr

6.5 hr

200 bp (20–30 Gb) 2 runs in 1 day

N/A

20 hr

10** hr

Ion 550 Chip

100–130M

200 bp (20–25 Gb)

N/A

11.5 hr

8.5 hr

200 bp (40–50 Gb) 2 runs in 1 day 

N/A

N/A

12** hr

† Expected output with >99% aligned/measured accuracy. Output dependent on read length and application.
* Sequencing run times are between 2.5 and 4 hrs.
** Analysis of first run occurs concurrently with the second sequencing run.


Choose your chip

Example of our popular panels and applications

Panel description

Number of samples per run*

Ion 510 Chip
2-3M reads

Ion 520 Chip
4-6M reads

Ion 530 Chip
15-20M reads

Ion 540 Chip
60-80M reads

Ion 550 Chip
100-130M reads

Cancer research

Ion AmpliSeq Cancer Hotspot Panel v2

Identify cancer hotspot SNVs from 10 ng of FFPE derived DNA

4

8

26

84

NA

Oncomine Focus Assay 

Identify solid tumor-relevant SNVs, indels, CNVs, and gene fusions from 52 genes

4

8

26

NA

NA

Oncomine Comprehensive Assay v3

Enable biomarker discovery of SNVs and indels and full gene sequencing from 161 genes

NA

NA

NA

8

16

Oncomine Lung cfDNA Assay

Detect rare somatic mutations in genes relevant to non-small cell lung cancer

NA

NA

8

32

~60-64

Oncomine Pan-Cancer Cell-Free Assay

Detect rare somatic mutations in genes across multiple cancer types

NA

NA

1

4

7-8

Oncomine Immune Response Research Assay

interrogate genes  involved in immune response pathways

NA

4

8

NA

NA

Gene expression

Ion AmpliSeq Transcriptome Human Gene Expression Kit

Research global gene expression levels

NA

NA

2

8

16

Ion AmpliSeq Transcriptome Mouse  Gene Expression Kit

Research global gene expression levels

NA

NA

2

8

16

Inherited disease research

Ion AmpliSeq Exome RDY Panel 

Discover rare mutations of the whole exome

NA

NA

NA

2

4

Ion AmpliSeq Pharmacogenomics Research Panel (40 genes)

Investigate known variants associated with drug metabolism

48

96

384

384

NA

Ion AmpliSeq On-Demand Panel 

Identify variants in genes associated with inherited disease

Up to 384 (varies by number of genes in panel)

Reproductive health research

Ion ReproSeq PGS Kits

Identify aneuploidy in DNA from embryo samples

16

24

96

NA

NA

Infectious disease research

Ion AmpliSeq
TB Research Panel

Identify variants associated with antimicrobial resistance in Mycobacterium tuberculosis (TB)

48

84

272

384

NA

Ion AmpliSeq Ebola Research Panel

Identify the presence of Ebola virus

48

84

272

384

NA

Ion 16S Metagenomics Kit

Identify bacterial species in mixed samples 

24

48

192

NA

NA

* The number of samples per run/chip serves as a guide, and the actual number of samples loaded will depend on your needs for number of reads and depth of coverage. It is important to note that as the number of libraries per chip increases, it becomes more difficult to balance the reads between libraries. In addition, libraries from FFPE tissue tend to produce more variable results. We suggest combining fewer libraries initially and determining real limits empirically.


">