Automated ATAC-Seq open chromatin region analysis

Run ATAC-Seq pipelines in minutes with Basepair's easy-to-use platform. Our publication-ready reports feature interactive plots for QC, alignment, peak insert size, and open chromatin region identification. Free 14-Day Trial

What is ATAC sequencing?

ATAC-Seq is Assay for Transposase-Accessible Chromatin sequencing. It is used for genome-wide identification of chromatin accessibility. The assay uses hyperactive Tn5 transposase, which both cuts and ligates adapters at accessible regions of chromatin. Sequencing reads can then be used to determine regions of accessible chromatin and map regions of transcription factor binding and nucleosome position. Unlike other assays that need millions of cells, ATAC-Seq has a simple protocol that works well with 50,000 cells.

Fast, automated ATAC-Seq analysis

Data-specific reports

Each of our 30+ pipelines generates reports built from the ground up for your specified data type.

Start analyzing now

Running ATAC-Seq pipelines is as simple as uploading a .fastq file and clicking a button.

Speedy results

Sample analysis usually takes under an hour to finish, thanks to cloud-native, ultra-fast servers.

Reports tailored to your ATAC-Seq data

Basepair’s ATAC-Seq piplines include comprehensive options such as alignment, QC, read counts, gene body and transcriprtion start site heatmaps, open chromatin region identification, and annotation. After you run your analysis, all plots and figures are generated automatically, giving you publication-ready results instantly!

QC Plots

Inspect the quality of your raw ATAC-Seq data with our before- and after-trim QC charts. The QC score allows you to easily uncover sequencing issues or contaminations in your dataset.

Read Count Flow

The read count flow helps provide a big-picture overview of usable reads at the end of the trimming, alignment, and deduplication processes. Think of the figure as a data analysis assembly line: input raw data, get an output of usable reads.

Genome Browser

Basepair’s built-in Genome Browser allows for a bird’s-eye view of you raw genomic data. Our platform handles any conversions under the hood, presenting you with a visual overview of your ATAC-Seq data without additional file conversions or software necessary.

Peak Table

Easily identify signal peaks in your data. Each peak is annotated as promoter, intronic, or intergenic, with the corresponding gene displayed on the table.

Insert Size Plot

Besides pulling down open chromatin DNA, ATAC-Seq captures DNA around histones. The insert size plot shows peaks at 200 BP, 400 BP, and 600 BP, which correspond to one, two, or more histones. In other words, the insert size tells you if the correct data was captured, and ensures the assay went well.

Peak Distribution

Find the distribution of promoter, gene body, and intergenic peaks at a glance with the peak distribution plot.

Heatmaps & Profile for Gene Body and Transcription Start Site

Besides pulling down open chromatin DNA, ATAC-Seq captures DNA around histones. The insert size plot shows peaks at 200 BP, 400 BP, and 600 BP, which correspond to one, two, or more histones. In other words, the insert size tells you if the correct data was captured and ensures the assay went well.

Set up your ATAC-Seq analysis in minutes

Try our free 14-day trial now. Explore our sample reports or upload your own ATAC-Seq data. See why the world’s top institutions are using Basepair to save thousands of hours (and dollars) on their NGS data analysis projects.

Basepair Work is in Dozens of Peer-Reviewed Journals

"Fast, excellent and reasonably priced...you CAN get all three!! Thank you to the folks at Basepair for helping us deal with some difficult RNA Seq data."

Sharen Mckay

Yale University

"I really like how easy the website is to use. And how quickly the results are generated, including figures. I would have never thought about doing a new analysis like I just did."

Emilie Montenont

NYU Langone Health

"Support answers come fast and are always precise!"

 

Maria Hollnagel

Ulm University