Author

Harpreet Kaur Saini

ORCID 0000-0002-3733-7657Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Organism:human· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

David ZhangiD· 2 shared Mina RyteniD· 2 shared Siddharth SethiiD· 2 shared Sonia García-RuiziD· 2 shared Zhongbo CheniD· 2 shared Anita AdamiiD· 1 shared Anna I. WernickiD· 1 shared Annelies QuaegebeuriD· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersGenetics

David ZhangORCID

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Author profile →

3 papers

Recent·Most cited

The annotation and function of the Parkinson's and Gaucher disease-linked gene GBA1 has been concealed by its protein-coding pseudogene GBAP1

Emil Karl Gustavsson, Siddharth Sethi, Yujing Gao, Jonathan Brenton, Sonia García-Ruiz, David Zhang, Raquel Garza, Regina Hertfelder Reynolds, James R. Evans, Zhongbo Chen, Melissa Grant‐Peters, Hannah L. Macpherson, Kylie Montgomery, Rhys Dore, Anna I. Wernick, , Mina Ryten

The paper shows that sequencing ambiguity between GBA1 and its pseudogene GBAP1 affects transcriptomic analysis, revealing non-lysosomal functions in the brain and widespread annotation inaccuracies.

Science Advances · Jun 26, 2024Peer-reviewedGenetics

Leveraging omic features with F3UTER enables identification of unannotated 3'UTRs for synaptic genes

Siddharth Sethi, David Zhang, Sebastian Guelfi, Zhongbo Chen, Sonia García-Ruiz, Emmanuel O. Olagbaju, Mina Ryten, Harpreet Kaur Saini, Juan Antonio Botía

The paper identifies 1,513 unannotated 3'UTRs across 39 human tissues using a machine learning framework, highlighting their enrichment in brain and synaptic function.

Nature Communications · Apr 27, 2022Peer-reviewedBioinformatics

Visualisation and analysis of RNA-Seq assembly graphs

Wan Fahmi Wan Mohamad Nazarie, Barbara Bo-Ju Shih, Tim Angus, Mark W. Barnett, Sz-Hau Chen, KIM M. SUMMERS, Karsten Klein, Geoffrey J. Faulkner, Harpreet Kaur Saini, Mick Watson, Stijn van Dongen, Anton James Enright, Tom C. Freeman

The paper develops a graph-based visualization method for RNA-Seq data to better understand transcript diversity and assembly issues.

bioRxiv · Sep 6, 2018 · PreprintBioinformatics