Research outputs

An end-to-end computational framework for ‘Record-seq’ transcriptional recording data

Hugi F*, Tanna T*+, Platt RJ+

Bioinformatics · Accepted

Co-first and co-corresponding author.

• Framework code ↗
• recoRdseq R package ↗

Melanoma cell states define therapeutic vulnerabilities in a multimodal single-cell atlas

Chevrier S*, …, Tanna T*, et al.

Research Square · Preprint

Major role in data analysis.

Ex vivo drug sensitivity testing predicts treatment outcomes in advanced ovarian cancer

Labrosse KB, Lombardo FC, …, Tanna T, et al.

npj Precision Oncology

Contributed multimodal integration and permutation-based analysis.

A tumor profiling resource for ovarian cancer: insights into chemotherapy-driven heterogeneity and personalized treatment strategy

Jacob F*, Wegmann R*, Ficek-Pascual J*, …, Tanna T, et al.

Nature Communications

Contributed to data analysis.

Perturbation-aware representation learning for in vivo genetic screens

Hugi F*, Tanna T*, Platt RJ, Rätsch G

NeurIPS 2025, AI4D3 workshop

Representation learning for single-cell genetic-screen data.

WiNNbeta: batch and drift correction method by white noise normalization for metabolomic studies

Demler O, Giulianini F, Liu Y, Londschien M, Sjöström A, Tanna T, et al.

arXiv · Preprint

Decoding biomolecular landscapes: computational method development for novel cellular profiling technologies

Tanna T

PhD thesis, ETH Zürich

Microbial medics diagnose and treat gut inflammation

Tanna T, Platt RJ

Cell Host & Microbe (Preview)

Transcriptionally recording cell composition and method for non-invasive assessment of gut function

Platt RJ, Schmidt F, Asensio-Calavia A, Guzzetta KE, Zimmermann J, Macpherson AJ, Tanna T

Patent application WO2023209153A1

Co-inventor.

Noninvasive assessment of gut function using transcriptional recording sentinel cells

Schmidt F*, Zimmermann J*, Tanna T*, Farouni R, Conway T, Macpherson AJ, Platt RJ

Science

Computational lead for data analysis, modelling, statistical method development and figures.

• Analysis code ↗
• Study repository ↗

Recording biological information with CRISPR-Cas systems

Cherepkova MY, Tanna T, Platt RJ

CRISPR: Biology and Applications (book chapter)

Engineered bacteria to report gut function: technologies and implementation

Tanna T, Ramachanderan R, Platt RJ

Current Opinion in Microbiology

Recording transcriptional histories using Record-seq

Tanna T, Schmidt F, Cherepkova MY, Okoniewski M, Platt RJ

Nature Protocols

• Record-seq resources ↗

Mesenchymal stem cells: potential in treatment of neurodegenerative diseases

Tanna T, Sachan V

Current Stem Cell Research & Therapy

Prenatal diagnosis of autosomal recessive osteopetrosis: a case report

Mistri M, Patel H, Tanna T, Ankleshwaria C, Sheth F, Sheth J

Molecular Cytogenetics

WiNN enables selective correction of run-order drift and batch effects while preserving biological signal in metabolomics data

Tanna T, et al.

Bioinformatics · In review

Statistical method for metabolomics preprocessing.

• WiNN R package ↗
• Reproducible analyses ↗

Perturbation-aware representation learning for heterogeneous single-cell genetic screens

First / co-first author(s): Tanna T

Manuscript in preparation · In preparation

Corresponding author.

Enhanced transcriptional recording of bacterial adaptation through host factor manipulation

First / co-first author(s): Tanna T

Manuscript in preparation · In preparation

Lead role in data analysis.

Multi-modal metagenomics and metabolomics analysis for a late-stage melanoma cohort

First / co-first author(s): Tanna T

Manuscript in preparation · In preparation

Data generation and computational analysis for a late-stage melanoma cohort.

Scalable differential sequence assembly for metagenomics using annotated de Bruijn graphs

First / co-first author(s): Tanna T

Manuscript in preparation · In preparation

Advanced glycocalyx profiling for translational research and diagnostics using scMEP-seq

First / co-first author(s): Tanna T

Preprint in preparation · In preparation

Computational lead for a single-cell glycomics method.