Category Archives: Workshop

LondonR – March 2013

Talks at next month’s LondonR user group (Tues 19th March):

  • Open Data comes to the NHS – Francine Bennett, Mastodon C
  • High-throughput/flow Cytometry Data and how to Load, Transform and Visualise Data and Gate Populations – Ulrike Naumann, Kings College, London
  • Enterprise grade R on Spotfire – David Rice, Agilexi

And a bonus workshop:

Report Generation in R – Gemma Stephenson, Mango Solutions

More details and registration at http://www.londonr.org

 

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DevCSI Linked Data Hackdays

DevCSI (Developer Community Supporting Innovation) are running a linked data hackday in January. It’s in Bristol, but accommodation is free. The idea is to get devs, researchers and librarians together to kick around ideas about how linked data can be used to help in the management of research data and to hack on some prototype tools.

Dev8D 2011

Dev8D Logo

JISC-funded un-conference for developers in higher education and research

See the Dev8D website for details and to book a place

“The aim of Dev8D is to bring together developers from across the education sector and wider in order to learn from one another and ultimately create better, smarter technology for learning and research”

November tech meet — RapidMiner tutorial

The next BioGeeks tech meet will be on November 25th 2010 at UCL, where Andrew Clegg will be running a workshop entitled:

RapidMiner — machine learning for the rest of us

RapidMiner is an easy-to-use and feature-packed desktop app for machine learning, data & text mining, statistical analysis and visualization.

It allows you to build workflows for your experiments, easily swap learning algorithms and evaluation methods in and out, and compare and visualize the results. It also supports parallel processing and interfaces with databases, R and Weka, all from an intuitive graphical workbench. It includes modules for dozens of different classification, clustering and regression methods, along with dozens more handy pre-and post-processing tools.

The tutorial will take you through building a learning pipeline, training and tuning models in it, applying them to new data and comparing the results, using some well-known biological data.

Andrew will also demonstrate some methods for transforming and processing your input data in ways that would take hours to script by hand.

Bring a laptop if you want to follow along or just come to watch.

N.B. If you do bring a laptop, please install RapidMiner 5 Community Edition first, in case there’s a problem getting wifi on the day.

Where: Biochemistry Lecture Theatre, Darwin Building (basement), University College London

Enter campus via Malet Place opposite Waterstones, then turn left between the Engineering and DMS Watson buildings in square C4 of this map.

When: 6pm, Thursday 25 November 2010

Followed by drinks from 7:30ish at a venue to be decided on the day (depending on numbers).

Download a poster for this event here (PDF, 125K)

November tech meet — RapidMiner tutorial

The next BioGeeks tech meet will be on November 25th 2010 at UCL, where Andrew Clegg will be running a workshop entitled:

RapidMiner — machine learning for the rest of us

RapidMiner is an easy-to-use and feature-packed desktop app for machine learning, data & text mining, statistical analysis and visualization.

It allows you to build workflows for your experiments, easily swap learning algorithms and evaluation methods in and out, and compare and visualize the results. It also supports parallel processing and interfaces with databases, R and Weka, all from an intuitive graphical workbench. It includes modules for dozens of different classification, clustering and regression methods, along with dozens more handy pre-and post-processing tools.

The tutorial will take you through building a learning pipeline, training and tuning models in it, applying them to new data and comparing the results, using some well-known biological data.

Andrew will also demonstrate some methods for transforming and processing your input data in ways that would take hours to script by hand.

Bring a laptop if you want to follow along or just come to watch.

N.B. If you do bring a laptop, please install RapidMiner 5 Community Edition first, in case there’s a problem getting wifi on the day.

Where: Biochemistry Lecture Theatre, Darwin Building (basement), University College London

Enter campus via Malet Place opposite Waterstones, then turn left between the Engineering and DMS Watson buildings in square C4 of this map.

When: 6pm, Thursday 25 November 2010

Followed by drinks from 7:30ish at a venue to be decided on the day (depending on numbers).

Download a poster for this event here (PDF, 125K)

Duplicate of this post because of URL mix-up, all comments there please.

Science Hackday this Weekend

Only 2 days to go until Science Hackday. Come along and play with technology in the name of science. And win prizes!

See their website for details and add your name to the wiki to sign up.

Virtual Bioinfo Lab: RRBseq

From Vincenza Maselli:

Please look at the page linked below for any details.

http://128.40.230.201/stupkalab/StupkaLab/?page_id=268

Next speaker will be Guillermo Carbajosa
the topic is: Analyzing RRB-seq Data

HTS DNA methylomics (RRB-Seq Analysis)
RRB-Seq is a DNA methyomics genome scale technique, first described in Meissner et al 2008, that allows to perform single CpG site resolution analysis of the methylation of selected regions, specially those rich in CpG sites like CpG islands, which reduces the high costs of perform whole genome sequence analysis while giving a good representation of the genome. I will try to explain how do you approach this kind of data and how do you go from high throughput sequence reads file to calling differentially methylated regions. This workflow involves several steps like reads preprocessing, mapping to the genome bisulfite converted sequences, extracting information from the maps and comparing it to other available information.

the venue is at UCL: 1-19 Torrington Place – Basement LT (you can find the map on the website http://128.40.230.201/stupkalab/StupkaLab/?page_id=268#venue)

we looking forward to see all of you there

The Stupka Group