Resource Type
Technology / CodePipelineTechnology
Resource Name

End Sequence Analysis ToolKit (ESAT)

Canonical Identifier
Description
ESAT is designed for the analysis of short reads obtained from end-sequence RNA-seq. ESAT addresses misannotated or sample-specific transcript boundaries by providing a search step in which it identifies possible unannotated ends de novo. It provides a robust handling of multimapped reads, which is critical in 3' DGE analysis. ESAT provides a module specifically designed for alternative start or 3' UTR (untranslated region) differential isoform expression. It also includes a set of features specifically designed for the analysis of single-cell RNA-seq data.
Contributors
NameOrganizationConsortiumContact
Rita BortellUniversity of Massachusetts Medical SchoolCMAI Contact
David HarlanUniversity of Massachusetts Medical SchoolCMAI Contact
Dale GreinerUniversity of Massachusetts Medical SchoolCMAI Contact
Defining Manuscript Identifier
Related Resources
Canonical IdentifierNameResource Type
GSE79651RNA-seq of mouse bone-marrow derived dendritic cells (mBMDC) stimulated with lipopolysaccharide, and droplet-based single-cell RNA-seq of ~1000 islet cells from non-diabetic biobreeding diabetes-resistant rat (BBDR)Dataset


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