Author

Shalu Jhanwar

SIB Swiss Institute of BioinformaticsORCID 0000-0001-7576-7298Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Developmental Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 3 Organism:mouse· 3 Assay:bulk RNA-seq· 2 Assay:ChIP-seq· 2 Research Focus:differential expression· 2 Approach:statistical model· 2 Approach:experimental assay· 1 Assay:Hi-C· 1

Frequent Co-Authors

Stephan OssowskiiD· 2 shared Aimée ZúñigaiD· 1 shared Aliaksei Z. Holik· 1 shared Aušra GirdžiušaitėiD· 1 shared Charlotte N. HoriD· 1 shared Geoffrey SoussiiD· 1 shared Jon PermanyeriD· 1 shared José Dávila-VelderrainiD· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersNeuroscience

Stephan OssowskiORCID

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3 papers

Recent·Most cited

Developmental BiologybioRxivPreprintJan 30, 2024

TBX3 is essential to establish the posterior boundary of anterior genes and up-regulate posterior genes with HAND2 during onset of limb bud development

Geoffrey Soussi, Aušra Girdžiušaitė, Shalu Jhanwar…·Aimée Zúñiga

The paper identifies TBX3 as a key transcription factor for establishing the antero-posterior axis polarity in mouse limb buds by repressing anterior genes and up-regulating posterior genes with HAND2.

DOI 10.1101/2024.01.30.577998

mousebulk RNA-seq

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NeuroscienceFrontiers in Molecular NeurosciencePeer-reviewedMay 5, 2021

Environmental enrichment induces epigenomic and genome organization changes relevant for cognitive function

Sergio Espeso‐Gil, Aliaksei Z. Holik, Sarah Bonnin…·Stephan Ossowski

This study shows environmental enrichment alters chromatin structure, transcription factor binding, and 3D genome organization in mice, affecting cognitive function and gene regulation.

30 citations

mouseChIP-seq

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BioinformaticsbioRxivPreprintSep 20, 2018

Genome-wide active enhancer identification using cell type-specific signatures of epigenomic activity

Shalu Jhanwar, Stephan Ossowski, José Dávila-Velderrain

The paper introduces a machine learning method to identify active enhancers using cell type-specific epigenomic signatures, showing improved performance and generalizability across human and mouse tissues.

1 citation

humanmouse

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