ATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAAGTAC
TGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAACGGTCCTTAAGCTGTATTGCACCATATGACG
GATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTTCGGTCCTTAAGCTGTATTCCTTAACAACGGTCCTTAAGG
ATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAAGTAC
TGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAACGGTCCTTAAGCTGTATTGCACCATATGACG
GATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTTCGGTCCTTAAGCTGTATTCCTTAACAACGGTCCTTAAGG
Gene expression made useful easily: tools and database of Bgee (lectures)
04 June 2021
For-profit: 0 CHF
No future instance of this course is planned yet
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. Hands-on will be open to make use of the Bgee companion tools, Bgee’s online functionalities, or Bgee R packages to retrieve data and integrate them into one’s own workflow (e.g. RNA-seq analysis R script).
Audience
This course is targeted 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:
- Distinguish types of expression data and the added value of curation, annotation, and consistent analysis.
- Explain the steps of gene expression analysis.
- Retrieve precomputed gene expression data through the web.
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)
- 9:00-9:15 Welcome
- 9:15-10:00 Overview of Bgee
- 10.00-10:15 Questions and answers
- 10:15-11:00 Manipulating integrated data
- 11:00-11:15 Questions and answers
- 11:15-12:00 Manipulating processed data
- 12:00-12:15 Questions and answers
Application
Attendance to lectures are free-of-charge, however registration is mandatory. Deadline for registration is set to 04/06/2021.
You will be informed by email of your registration confirmation.
If you are interested to attend the lectures and practicals, apply here
Venue and Time
This course will be streamed for registered participants.
The lectures will start at 9:00 and end around 12:15 CET. Precise information will be provided to the participants on due time.
Additional information
Coordination: Valeria Di Cola (valeria.dicola@sib.swiss)
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