Bioinformatics has never been

more powerful!

Strand NGS is an integrated platform that provides analysis, management and visualization tools for next-generation sequencing data. It supports workflows for RNA-Seq, DNA-Seq, ChIP-Seq, Methyl-Seq, MeDIP-Seq and small RNA-Seq experiments

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RNA-Seq

Perform gene, exon and transcript level quantification. Identify novel events, differentially expressed genes, gene fusions and splice forms

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Alignment
Support for aligning DNA, RNA, and small RNA reads of different read lengths Learn more

DNA-Seq

Strand NGS allows detection of SNPs, InDels, CNVs and other SVs. Functional predictions can be made using SIFT, Polyphen2, LRT, MutationTaster and further annotated with information from dbSNP, COSMIC etc

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Robust Data Import
Support for data import from most vendor platforms Learn more

ChIP-Seq

Detect peaks using PICS and MACS. Identify TF regulation binding sites, affected genes and histone modification sites. Discover significant motifs and verify them against JASPAR.

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Data QC
Ability to perform pre- and post- alignment QC and filter low quality reads Learn more

Small RNA-Seq

Strand NGS supports quantification of small RNA species including miRNA, snRNA, snoRNA and scRNA. It also helps identify differentially expressed genes and their corresponding mRNA targets.

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Biological interpretation
Pathway analysis, Gene ontology analysis, Gene set enrichment analysis, Gene set analysis Learn more

Methyl-Seq

Strand NGS supports methylation detection, differential methylation analysis across samples/target regions, and biological interpretation on the affected gene list via GO, pathway analysis etc

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Rich Visualizations
Gene View, Variant Support View, Elastic Genome Browser Learn more

Biological Interpretation

Strand NGS provides support for pathway analysis, GO enrichment, GSEA, GSA and NLP derived interaction networks

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Annotations
Multiple organisms Learn more

Server Edition

The Server Edition provides centralized storage, scalable compute and enables collaborative analysis

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