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Laurent Gatto’s online home

http://lgatto.github.io/

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Laurent Gatto’s online home

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lgatto.github.io lgatto.github.io
1

Reproducible research - What should our goals be? ~/

http://lgatto.github.io/rr-what-should-be-our-goals

Open science, reproducible research, data champion, computational biology, proteomics, more omics, emacs, a lot of R, running, swimming and parenting. Reproducible research - What should our goals be? On Friday, I’ll be at the Reproducible Research workshop. At the CRUK Cambridge Institute. I’ll be participating in a group discussing. What should our goals be? With James Brenton, Nicole Janz. Natasha Karp and Fiona Nielsen. Have been confused and used to mean opposite things (read this post. An experimen...

2

About the author ~/

http://lgatto.github.io/about

Open science, reproducible research, data champion, computational biology, proteomics, more omics, emacs, a lot of R, running, swimming and parenting. I moved to Cambridge, UK, in January 2010 to work in the Cambridge Centre for Proteomics. On various aspects of quantitative and spatial proteomics, developing new methods and implementing computational tools with a strong emphasis on rigorous and reproducible data analysis. I am also a visiting scientist in the PRIDE. Project, a fellow. This directly appl...

3

Computation spatial proteomics at CPU, 2010 - 2015 ~/

http://lgatto.github.io/cpu-spat-prot-2015

Open science, reproducible research, data champion, computational biology, proteomics, more omics, emacs, a lot of R, running, swimming and parenting. Computation spatial proteomics at CPU, 2010 - 2015. What have we achieved so far? We are Lisa Breckels and Laurent Gatto at the Computational Proteomics Unit (CPU). And later, in 2013, when the CPU was set up. Classification, software and reproducibility. Data handling, processing and visualisation. An unprecedented picture of the [cellular] territory.

4

~/ | Page 3

http://lgatto.github.io/page3

Open science, reproducible research, data champion, computational biology, proteomics, more omics, emacs, a lot of R, running, swimming and parenting. The steep learning curve. TL;DR The bloody steep learning curve is just a silly excuse and will only result in keeping [computer programming stats ] literacy low in life sciences. St. Open data info session. From my old Git(hub) notes. The curse of dimensionality. Less than 1 minute read. 2017 Laurent Gatto CC-BY. Powered by Jekyll.

5

The lab ~/

http://lgatto.github.io/cpu-lab

Open Science and Reproducible Research. The Computational Proteomics Unit. Was set up in August 2013 and is part of the Cambridge Centre for Proteomics. Is an integral part of our work and is reflected by our contributions to the Bioconductor. Data analysis, experimental design, statistics, programming, R, scientific software, machine learning, reproducible research, proteomics. Open Science and Reproducible Research. In the hope that it can be re-used and improved upon by as many as possible. Concom...

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proteomicsnews.blogspot.com proteomicsnews.blogspot.com

News in Proteomics Research: Bioconductor workflow for spatial proteomics data!

http://proteomicsnews.blogspot.com/2016/12/bioconductor-workflow-for-spatial.html

News in Proteomics Research. Thursday, December 29, 2016. Bioconductor workflow for spatial proteomics data! There are some crazy powerful tools out there for proteomics in R. If you completely dismissed this 'cause you've heard this before from some dumb bioinformatics wannabe down your hallway and it was all junk - or you tried it yourself and found it impossible -. Point 1: Yes, the bioinformatics field is having lots and lots of problems with fakers. How could they not? Orcan you come up with another...

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Open science, reproducible research, data champion, computational biology, proteomics, more omics, emacs, a lot of R, running, swimming and parenting. Branch specific gitignores for Bioconductor package documentation. For more background on this post, see this thread on the Bioc-devel mailing list. The short story is that I use Hadley Wickham pkgdown package to build a web. MSnbase contributors 2010 - 2016. Some brief advice on data analysis. Computation spatial proteomics at CPU, 2010 - 2015.

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