Pathology Portal

Bioinformatics for T-Cell immunology - Bioinformatics tools and resources for immunology

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Presentation on resources and tools (accompanied by a list of links) and how to stay abreast of new developments in the field. The trainer will also briefly describe the practicalities necessary for efficient and future-proof analysis: data and metadata rules, ideas for organising project files, and how to store and share code and data.

Learning outcome
By the end of this session you will be able to:

  • Access immunology-related tools and bioinformatic resources
  • Recognise key conditions for accessing and maintaining resources for use in research
  • Identify the importance of file system and project organisation structure

Anna Lorenc – Wellcome Sanger Institute

Anna is a computational biologist in Gosia Trynka’s lab of Immune Genomics at Wellcome Sanger Institute, which she joined after 7 years at Kings College London in the Adrian Hayday and Mark Peakman labs. Her scientific interests are T cell receptors in the context of autoimmune diabetes. She has experience in analysing diverse immunological datasets, from high throughput flow cytometry to scRNAseq and bulk TCR sequencing. She is a big fan of R, Bioconductor, open science and wet lab scientists developing computational skills.

Resource details

Contributed by: Pathology Portal
Authored by: Anna Lorenc, Wellcome Sanger Institute, Computational biologist in Gosia Trynka’s lab of Immune Genomics at Wellcome Sanger-EMBI-EBI
Licence: © All rights reserved More information on licences
First contributed: 12 December 2022
Audience access level: Full user

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