LSTrAP-Kingdom: an automated pipeline to generate annotated gene expression atlases for kingdoms of life | Zendy

William Goh | Zendy; Marek Mutwil | Zendy

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LSTrAP-Kingdom: an automated pipeline to generate annotated gene expression atlases for kingdoms of life

Author(s) -

William Goh,

Marek Mutwil

Publication year - 2021

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btab168

Subject(s) - pipeline (software) , annotation , gene annotation , python (programming language) , computer science , kingdom , gene , computational biology , data mining , biology , data science , genetics , genome , artificial intelligence , operating system , paleontology

There are now more than two million RNA sequencing experiments for plants, animals, bacteria and fungi publicly available, allowing us to study gene expression within and across species and kingdoms. However, the tools allowing the download, quality control and annotation of this data for more than one species at a time are currently missing.

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