ATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAAGTAC
TGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAACGGTCCTTAAGCTGTATTGCACCATATGACG
GATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTTCGGTCCTTAAGCTGTATTCCTTAACAACGGTCCTTAAGG
ATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAAGTAC
TGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAACGGTCCTTAAGCTGTATTGCACCATATGACG
GATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTTCGGTCCTTAAGCTGTATTCCTTAACAACGGTCCTTAAGG
Gene Expression made Useful Easily: Tools and Database of Bgee
27 May 2024
17 May 2024
For-profit: 0 CHF
Overview
This is a course on bioinformatics resources taught by the developers of the resources. Bgee is a curated database of gene expression in animals, including model species such as human, mouse or drosophila, and others such as livestock, primates, or fishes. Bgee integrates information from single-cell and bulk RNA-seq, microarrays, and in situ hybridization. These data are available through a web interface and an R package. Bgee also includes tools which use these data, such as TopAnat or Expression Comparison, and allows integration with users' own data through another R package. In this course, we will present the curated and pre-analysed gene expression data in Bgee.
Audience
This course is addressed to life scientists who need to retrieve curated gene expression, obtain expression-based knowledge on genes of interest, or compare expression between genes and between species.
Learning outcomes
At the end of the course, the participants are expected to:
- Learn how to detect active genes from bulk or single-cell RNA-Seq
- Learn what information on expression Bgee can provide
- Understand the added value of Bgee data curation and analysis
- Learn about Bgee webtools and their utility to research
Prerequisites
Technical
This course will be streamed, you are thus required to have your own computer with an internet connection.
Schedule - CET time zone
9:00-12:15 CET time zone - Online lectures (Frédéric Bastian and Marc Robinson-Rechavi)
- 9:00-9:10 Welcome
- 9:10-9:40 Overview of Bgee
- 9:40-9:50 Q&A
- 9:50-10:35 Present and absent calls from transcriptome data
- 10:35-10:50 Q&A
- 10:50-11:05 Break
- 11:05-11:35 Data integration in Bgee
- 11:35-11:45 Q&A
- 11:45-12:15 Bgee tools
Application
The lecture is free of charge, but registration is mandatory .
You will be informed by email of your registration confirmation.
Venue and Time
This course will be streamed for registered participants. The course will start at 9:00 and end at 12:15 CET. Precise information will be provided to the participants on due time.
Additional information
Coordination: Valeria Di Cola (valeria.dicola@sib.swiss) SIB Training Group
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For more information, please contact training@sib.swiss.