Example data for Cogent NGS software

Overview

Download raw sequencing data produced with Takara Bio next-generation sequencing (NGS) kits to familiarize yourself with our user-friendly bioinformatics analysis tools, Cogent NGS Analysis Pipeline (CogentAP) and Discovery Software (CogentDS).

CogentAP and CogentDS are designed to analyze sequencing data generated using Takara Bio library preparation kits, including the Shasta Total RNA-Seq Kit, Shasta Whole-Genome Amplification (WGA) Kit, and plate-based mRNA-seq or total RNA-seq kits. These analysis tools are designed for easy use and accessible to any researcher, even with minimal prior bioinformatics experience.

CogentAP report

Example output available in the CogentAP HTML report.

CogentAP report

CogentDS workflows. Source data is generated by CogentAP from single-cell RNA or DNA or bulk RNA sequencing data.

Sign up below to access raw sequencing data generated with Takara Bio NGS kits. Login credentials to access the data will be provided via email. Datasets for the following library preparation kits are available for download:

Library
preparation kit

Application

Sample information

Sequencing
set-up

Data size

Shasta Total
RNA-Seq

High-throughput single-cell total RNA profiling for up to 100,000 cells per run with full gene-body coverage

100,000 PBMCs (peripheral blood mononuclear cells)

Illumina® NovaSeq® PE150

7,819,525,231 PE (paired-end) reads in total

1.2 TB for raw FASTQ files for 100,000 cells

2 TB for demultiplexed files for 100,000 cells

126 GB for demultiplexed files for 10,000 cells

Shasta WGA

High-throughput single-cell whole-genome amplification for up to 1,500 cells per run

1,500 immortalized cancer cells

Illumina NovaSeq PE150

427,688,062 PE reads in total

418 GB for demultiplexed files

SMART-Seq Pro (Shasta mRNA-seq)

Single-cell full-length transcriptome analysis for up to 1,500 cells per run

714 PBMCs

Illumina NextSeq®

261,031,985 PE reads in total

27 GB for demultiplexed files

 

Sign up below to access raw sequencing data