Click on the graphic below to download the PDF formatted version of his presentation.

The talk was called “Epigenomic analysis using massively-parallel sequencing”, the presentation slides can be downloaded here:

Epigenomic analysis using massively parallel sequencing

The latest overview presentation regarding WikiLIMS can be downloaded from this link (or click the image above).

“…We’re now capturing data electronically with no human intervention required. A single device doing this isn’t particularly compelling, but two or more can be. The wiki becomes an electronic lab notebook written entirely by your machines. Because it can be viewed and edited with a Web browser, scientists can begin by using it as a web portal to recently completed analyses. Each discovery can be recorded into the wiki, one click away from the supporting raw data. Simple programs can build reports from or read and write into the wiki. An automatic full history of every page provides a safety net, and a way to view how our understanding of the data has evolved. This enables cycles in which humans and software each complement the other’s strengths.”

Read the full article here:

http://www.bio-itworld.com/issues/2008/april/inside-box-wikilims.html

Download a PDF reprint here:

“… The wikiLIMS system is
“something of a shared brain”
for a lab, “where we can all
agree on a common dialog, a
common vocabulary, common
semantics, and we have the
infinite memory of a hard
drive.”

The full article in PDF form is available here:

Feb 18 Update: A better link to the article was substituted into this post. The new URL:
http://www.bioinform.com/issues/12_5/webreprints/145121-1.html

A short excerpt the article:

“…These issues are particularly acute for many customers of next-gen sequencing instruments, Cariaso noted, because they are still familiarizing themselves with the type — and volume — of data being generated.

Dick McCombie, a Cold Spring Harbor researcher participating in the lab’s partnership with the BioTeam, agreed. “The data management with these new systems is the single biggest challenge, so we wanted to act pretty aggressively and go with people who we thought could speed up our getting a handle on this,” he said.

McCombie said that his group developed an in-house LIMS system for handling gel and capillary electrophoresis sequencing data, but when it came time to select a similar system for the lab’s Illumina Genome Analyzers, he decided to work with the BioTeam for several reasons.

First of all, he said, his team is still manually analyzing weekly production statistics and tracking the performance of its machines — a task that he’d like to automate as soon as possible, and thinks the BioTeam will likely “get that in place quicker than we would have by hiring people in-house.”