Poster – Single Cell RNA Sequencing Analysis in R Workshop: Charting the Path from Raw Sequencing Data to Cell Clusters

Poster – Single Cell RNA Sequencing Analysis in R Workshop: Charting the Path from Raw Sequencing Data to Cell Clusters

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We are thrilled to have been selected to present our poster at Bio-IT World 2024. In this poster, we highlight the single-cell RNA sequencing (scRNA-seq) analysis of tumor-infiltrating leukocytes (TILs) from Marengo Therapeutics, focusing on gene signatures in effector memory CD8+ T-cells in response to mSTAR1302. The scRNA-seq computational workflow involves quality control, count normalization, selection of highly variable genes, dimensionality reduction, cell clustering, and subsequent annotation. The end goal of scRNA-seq is to dissect transcriptional profiles of complex biological systems at a single cell level.

Click here  to download a PDF of our poster.

Once you’ve read our poster, if you have any questions or want to explore how we can work with you in a similar capacity, please click here to contact us.


Haider M. Hassan, Data Scientist, Bridge Informatics

Haider is one of our premier data scientists. He provides bioinformatic services to clients, including high throughput sequencing, data pre-processing, analysis, and custom pipeline development. Drawing on his rich experience with a variety of high-throughput sequencing technologies, Haider analyzes transcriptional (spatial and single-cell), epigenetic, and genetic landscapes.

Before joining Bridge Informatics, Haider was a Postdoctoral Associate at the London Regional Cancer Centre in Ontario, Canada. During his postdoc, he investigated the epigenetics of late-onset liver cancer using murine and human models. Haider holds a Ph.D. in biochemistry from Western University, where he studied the molecular mechanisms behind oncogenesis. Haider still lives in Ontario and enjoys spending his spare time visiting local parks. If you’re interested in reaching out, please email [email protected] or [email protected]

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