Major Applications and Ideal Run Types
Illumina MiSeq | Illumina NextSeq550 | Illumina NextSeq2000 | |
---|---|---|---|
Run Duration | 4-55 hours | 12-30 hours | 11-48 hours |
Flow Cell Type | Non-Patterned Single lane | Non-Patterned High-Output or Mid-Output | Patterned P1, P2, or P3 |
Number of Reads | Nano: 1 million Micro: 4 million V2: 13-15 million V3: 20-25 million | High-Output: 360-400 million Mid-Output: 117-130 million | P1: 100 million P2: 400 million P3: 1100 million |
Read Length | Up to 300 bp (Single-Read or Paired-End) | Up to 150 bp (Single-Read or Paired-End) | Up to 300 bp (P1 & P2) Up to 150 bp (P3) (Single-Read or Paired-End) |
Ideal Project Type | Metagenomics Amplicon Small-Genome | Transcriptome Single Cell mRNA miRNA/small RNA | Exome WGS |
Whole Genome Sequencing and Re-Sequencing (DNA-seq)
Single Read (SR) / Paired End (PE)
Genome re-sequencing: mutant identification, evolutionary comparisons, disease tissue sequencing:
SR100 or PE 100
De novo genome assembly for new unsequenced species:
PE100 or PE150
Expression/Transcriptome Analysis (RNA-seq)
Single Read (SR) / Paired End (PE)
De novo transcriptome analysis in an unsequenced or unannotated genome:
PE100 or PE150
RNA-seq to study comparative transcriptomics in model genomes (e.g. sequenced and annotated genomes):
SR50 or SR100
Small RNA transcriptomics:
SR50
Epigenomics and Gene Regulation
Single Read (SR) / Paired End (PE)
Chromatin immunoprecipitation sequencing (ChIP-seq) to identify transcription factor interaction sites:
SR50 or SR100
Methylated DNA sequencing to identify methylated regions of the genome:
SR100, PE100, or PE150
depending on the extent of annotation of the reference genome
Metagenomics, Amplicon, or Targeted Gene Sequencing
Single Read (SR) / Paired End (PE)
Illumina MiSeq System
Nano reagents produce ~1 million reads
Micro reagents produce ~4 million reads
Good for QC of custom library preps or small scale amplicon sequencing projects
V2 and V3 reagents produce ~15-25 million reads
Good for Metagenomic or Targeted Gene sequencing projects