https://github.com/lgatto/2015-03-05-intro-integ-omics-prot
Introduction to Integrative Omics
https://github.com/lgatto/2015-03-05-intro-integ-omics-prot
Last synced: about 2 months ago
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Introduction to Integrative Omics
- Host: GitHub
- URL: https://github.com/lgatto/2015-03-05-intro-integ-omics-prot
- Owner: lgatto
- Created: 2015-02-22T21:32:36.000Z (about 10 years ago)
- Default Branch: master
- Last Pushed: 2016-03-08T16:25:44.000Z (about 9 years ago)
- Last Synced: 2025-01-20T22:55:22.877Z (3 months ago)
- Language: Makefile
- Size: 29.6 MB
- Stars: 3
- Watchers: 4
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Introduction to Integrative Omics: Proteomics
- short URL: http://tinyurl.com/Intro-Integ-Omics-Prot (current)
- [Introduction to Integrative Omics](http://www.ebi.ac.uk/training/events/2016/introduction-integrative-omics-0)
- Previous content [05 March 2015, EMBL-EBI](https://github.com/ComputationalProteomicsUnit/Intro-Integ-Omics-Prot/tree/2015-03-05-EBI)## Table of content
1. Use case 1: Integration of mass spectrometry based proteomics and
RNA-Seq transcriptomics - caveats and [mapping](./mapping.md)
2. Use case 2: Combining exerimental spatial proteomics and third-pary
data using [transfer learning](./transfer-learning.md) to improve
inference of sub-cellular localisation of proteins.Material:
[slides.pdf](https://github.com/ComputationalProteomicsUnit/Intro-Integ-Omics-Prot/raw/master/slides.pdf)
doi:[10.6084/m9.figshare.3085462](https://figshare.com/articles/Data_integration_in_proteomics/3085462).## Software
All the example are produced with Bioconductor packages, in particular
[`Pbase`](http://bioconductor.org/packages/devel/bioc/html/Pbase.html),
[`MSnbase`](http://bioconductor.org/packages/devel/bioc/html/MSnbase.html)
and
[`pRoloc`](http://bioconductor.org/packages/devel/bioc/html/pRoloc.html).---
This material is licensed under a
[Creative Commons Attribution-ShareAlike 3.0 License](http://creativecommons.org/licenses/by-sa/3.0/).
This means you are free to copy, distribute and transmit the work,
adapt it to your needs as long as you cite its origin and, if you do
redistribute it, do so under the same license.