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Key Insights from Today's NGS Data Modeling and Management Session

Today, we focused on essential aspects of Next-Generation Sequencing (NGS) data. We covered how to model NGS data effectively, discussed the SRA data model, and demonstrated the process of retrieving NGS data using the ENA Browser. Additionally, we explored strategies for storing large NGS datasets, including the use of SRA Webin and SRA REST services. Finally, we learned about data compression techniques, specifically CRAM. The session featured insights from the ENA Team and highlighted significant contributions from various team members.

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Key Insights from Today's NGS Data Modeling and Management Session

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Presentation Transcript

  1. Wrap up What have we learnt today?

  2. We learnt • How to model NGS data • SRA Data model • How to retrieve NGS data • ENA Browser • How to store large NGS datasets • SRA Webin / SRA REST • How to compress data • CRAM

  3. We learnt • How to model NGS data • SRA Data model • How to retrieve NGS data • ENA Browser • How to store large NGS datasets • SRA Webin / SRA REST • How to compress data • CRAM

  4. We learnt • How to model NGS data • SRA Data model • How to retrieve NGS data • ENA Browser • How to store large NGS datasets • SRA Webin / SRA REST • How to compress data • CRAM

  5. We learnt • How to model NGS data • SRA Data model • How to retrieve NGS data • ENA Browser • How to store large NGS datasets • SRA Webin / SRA REST • How to compress data • CRAM

  6. People and funding ENA Team Blaise Alako, Clara Amid, Ana Cerdeño-Tárraga, Iain Cleland, Richard Gibson, Neil Goodgame, Mikyung Jang, Simon Kay, Rasko Leinonen, Xin Liu, Arnaud Oisel, Nima Pakseresht, Sheila Plaister, Rajesh Radhakrishnan, Kethi Reddy, Stephane Riviere, Marc Rossello, Alexander Senf, Nicole Silvester, Petra Ten Hoopen, Dmitriy Smirnov, Ana Toribio, Daniel Vaughan, Vadim Zalunin, Guy Cochrane Reference-based compression Markus Fritz, Ewan Birney

  7. Thank you for your attention!

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