SG-NEX now hosted on AWS Open Data Registry

[sg-nex-updates]

Hi all,

We are happy to announce the initial release of the SG-NEx data on AWS (https://registry.opendata.aws/sgnex/). This release includes 86 samples from 11 different cell lines. 

You can access the following data through the AWS Open Data Registry: 

• raw files (fast5)
• basecalled files (fastq)
• aligned reads (genome and transcriptome) (bam)
• tracks for visualisation (bigwig and bigbed)

In addition, this release includes matched m6A data using m6ACE-Seq, processed data for differential RNA modification analysis (json, for use with xPore), and processed data for identification of m6A (json, for use with m6Anet), allowing RNA modification analysis. You can refer to the data access tutorial for how to access the data on AWS:(https://github.com/GoekeLab/sg-nex-data/blob/master/docs/AWS_data_access_tutorial.md) or you can directly browse the S3 bucket here (http://sg-nex-data.s3-website-ap-southeast-1.amazonaws.com/)

All details are also described on our GitHub page (https://github.com/GoekeLab/sg-nex-data). If you have any comments or questions, please post them in the Forum.

Many thanks for the feedback from users of the first two releases, we hope this will be useful to your research! 

The SG-NEx team