https://github.com/Naila-Srivastava/scRNASeq-Cardiac-Development

End-to-end scRNA-seq pipeline mapping 10 cardiac cell types across 11,046 developing heart cells using Scanpy with a cloud-native Nextflow + AWS Batch architecture for scalable deployment.
https://github.com/Naila-Srivastava/scRNASeq-Cardiac-Development

aws-batch aws-s3 cardiac-development cell-type-annotation cloud-bioinformatics computational-biology docker nextflow python scanpy scrna-seq single-cell umap

Last synced: about 2 months ago
JSON representation

End-to-end scRNA-seq pipeline mapping 10 cardiac cell types across 11,046 developing heart cells using Scanpy with a cloud-native Nextflow + AWS Batch architecture for scalable deployment.

• Host: GitHub
• URL: https://github.com/Naila-Srivastava/scRNASeq-Cardiac-Development
• Owner: Naila-Srivastava
• License: mit
• Created: 2026-03-06T08:28:40.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2026-04-04T08:50:37.000Z (3 months ago)
• Last Synced: 2026-04-04T10:10:50.100Z (3 months ago)
• Topics: aws-batch, aws-s3, cardiac-development, cell-type-annotation, cloud-bioinformatics, computational-biology, docker, nextflow, python, scanpy, scrna-seq, single-cell, umap
• Language: Jupyter Notebook
• Homepage:
• Size: 3.04 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• awesome-single-cell - scRNA-Seq Cardiac Development - End-to-end scRNA-seq pipeline mapping 10 cardiac cell types using Scanpy, Nextflow and AWS Batch. (Tutorials and workflows / Spatial transcriptomics)