Author

Avinash D. Ghanate

The Francis Crick InstituteORCID 0000-0002-6284-7667Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Developmental Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

Clarinde EsculieriD· 1 shared Clement LoiD· 1 shared Clementina Cobolli Gigli· 1 shared Cristina DiasiD· 1 shared Dharmeshkumar S. ParmariD· 1 shared Emily T.Y. TongiD· 1 shared François GuillemotiD· 1 shared Gayatri S. PhadkeiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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1 shared paperSystems Biology

Clarinde EsculierORCID

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Author profile →

3 papers

Recent·Most cited

Discovery of multi-state gene cluster switches determining the adaptive mitochondrial and metabolic landscape of breast cancer

Michela Menegollo, Robert B. Bentham, Tiago Henriques, Seow Q. Ng, Ziyu Ren, Clarinde Esculier, Sia Agarwal, Emily T.Y. Tong, Clement Lo, Sanjana Ilangovan, Zorka Szabadkai, Matteo Suman, Neill Patani, Avinash D. Ghanate, Kevin Bryson, , György Szabadkai

The paper introduces a method to identify metabolic switches in breast cancer transcriptomes, revealing gene clusters associated with mitochondrial and metabolic states and their clinical implications.

bioRxiv · Feb 17, 2023 · PreprintSystems Biology

ASCL1 interacts with the mSWI/SNF at distal regulatory elements to regulate neural differentiation

Oana Păun, Yu Xuan Tan, Harshil Patel, Stephanie Strohbuecker, Avinash D. Ghanate, Clementina Cobolli Gigli, Miriam Llorián Sopeña, Lina Gerontogianni, Robert J. Goldstone, Siew‐Lan Ang, François Guillemot, Cristina Dias

This study shows ASCL1 interacts with mSWI/SNF complexes to regulate chromatin structure and gene expression during human neurogenesis.

bioRxiv · Oct 9, 2022 · PreprintDevelopmental Biology

MQ: Tool for HR-AM Based Quantitative Analysis for Direct MS Workflow

Avinash D. Ghanate, Dharmeshkumar S. Parmar, Nivedita Bhattacharya, Ijaz Inamdar, Gayatri S. Phadke, Venkateswarlu Panchagnula

MQ is a tool for quantitative analysis of HR-AM data in metabolomic workflows, validated through benchmarking and showcasing utility across different analysis scenarios.

bioRxiv · Jan 19, 2020 · PreprintBioinformatics