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CITATION.cff
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# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Spatial Transcriptomics
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Antonios
family-names: Somarakis
affiliation: The Jackson Laboratory
email: [email protected]
orcid: 'https://orcid.org/0000-0003-1020-1562'
- given-names: Brian
family-names: White
email: [email protected]
affiliation: The Jackson Laboratory
orcid: 'https://orcid.org/0000-0002-2954-4410'
- given-names: Daniel
family-names: Gatti
email: [email protected]
affiliation: The Jackson Laboratory
orcid: 'https://orcid.org/0000-0003-0667-9926'
- given-names: Elaheh
family-names: Alizadeh
email: [email protected]
affiliation: The Jackson Laboratory
orcid: 'https://orcid.org/0000-0003-4046-1226'
- given-names: Susan
family-names: McClatchy
email: [email protected]
affiliation: The Jackson Laboratory
orcid: 'https://orcid.org/0000-0003-3219-2177'
- given-names: Gary
name-particle: A
family-names: Churchill
email: [email protected]
affiliation: The Jackson Laboratory
orcid: 'https://orcid.org/0000-0001-9190-9284'
repository-code: 'https://github.com/smcclatchy/spatial-transcriptomics'
url: 'http://smcclatchy.github.io/spatial-transcriptomics/'
abstract: >
Spatially resolved transcriptomics is a cutting-edge
molecular profiling technology that measures transcript
expression and position within a tissue. This course will
teach you how to analyze spatial transcriptomics data
generated by the Visium 10X platform. By the end of this
course, you will be able to:
1. Describe different spatial transcriptomics technologies
and the best uses of each.
2. Identify important elements for good experimental
design.
3. Analyze spatial transcriptomics data, including quality
control, transcript quantification, and cell-type
assignment within regions.
keywords:
- spatial-transcriptomics
- 10X-genomics-visium
license: CC-BY-4.0