With the ability of long fragments reading, the MiSeq system provides ideal sequencing of various panels, amplicons and small genoms. MiSeq is the alternative to capillary electrophoresis. It assures rapid sequencing, which is extremely important for time-restricted research.
De novo sequencing of small genoms, metagenomic sequencing, amplicons libraries resequencing; gene panels sequencing, HLA-typing, small RNA sequencing.
|Read type||Net data||Run time||Price per lane|
|2 x 300 bp||13-15Gb||4-8 weeks||Request a quote|
|Library type||Run time||Price per sample|
|DNA-library (PCR-free)||1-3 weeks||Request a quote|
|RNA - library||1-4 weeks||Request a quote|
|Mate-pair library (up to 20Kb)||4-12 weeks||Request a quote|
Total amount — not less than 3 ug, concentration — not less than 50 ng/ul, average fragment length – over 10,000 bp, no smear, OD260/280=1.8-2.0, no RNA contamination.
Total amount — not less than 5 ug, concentration — not less than 50 ng/ul, 28S:18S RNA ≥ 1.0, RIN ≥ 7.0, OD260/280=1.8-2.0, OD260/230 ≥ 2.0.
total amount — not less than 50 ng, concentration — not less than 5 ng/ul, insert length — 200-1000 bp, the libraries are prepared using reagents compatible with TruSeq Illumina (production of Illumina, NEB, and so on).
Biomaterial-based DNA extraction, biomaterial-based RNA extraction, whole-genome amplification (in case of biomaterial lack), single-cell sequencing, target DNA fragments enrichment, mRNA enrichment, repeated sample quality control, RNase treatment, gaps filled by Sanger sequencing.
Basic bioinformatic services: sequencing quality and coverage uniformity tests, data filtering (adapters and low-quality reads removal), de novo assembling, reference reads mapping, data phasing, GC-compound analysis. Genomic data assays: SNV search and annotation (single-nucleotide variations), somatic SNV search and annotation (single-nucleotide variations), InDel (insertions and deletions) search and annotation, CNV search and annotation (copy number variations), ncRNA search and annotation, comparative genomic analysis, KEGG, Swissprot, GO, Nr and COG genes search and annotation, gene families identification (for animals: TreeFam, for plants: OrthoMCL), association analysis: genotype-phonotype, haplotype-phenotype and genes interactions research, species divergence time evaluation, genetic maps constructing, LD (linkage disequilibrium) analysis, phylogenetic analysis, principal component analysis (PCA), QTL mapping. RNA data analysis: qualitative genes expression analysis, new transcripts forecasting and annotation, miRNA, rRNA, tRNA, snRNA, etc. search by mapping in miRBase, Rfam и Genbank, new miRNAs and their secondary structures forecasting in Mireap, CDS forecasting, search of transcripts, formed as a result of alternative splicing, Unigene GO classification, metabolic pathways analysis, differential expression analysis (for 2 and more samples), general and specific transcripts search (for 2 and more samples), principal component analysis (PCA) (for 5 and more samples). Methylation analysis: methylation level detection, promoters and CpG-islands coverage analysis, identification of deferentially methylated regions (for 2 and more samples). Metagenomic analysis: qualitative and quantitative analysis of species per sample, reads mapping on bacterial, viral, fungal and archaeal genomes analysis.