Showing posts from November, 2010

Vitamin D

Interesting. I've just started taking a 800IU vitamin D supplement on the recommendation of a colleague.

Posted via email from danbrewer's posterous

Evolution of the two-party vote during past century

Tig: text-mode interface for git

Tig is a git repository browser that additionally can act as a pager for output from various git commands.

When browsing repositories, it uses the underlying git commands to present the user with various views, such as summarized revision log and showing the commit with the log message, diffstat, and the diff.

This is exactly what I was looking for.

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Alternative To The "200 Lines Kernel Patch That Does Wonders" Which You Can Use Right Away

Phoronix recently published an article regarding a ~200 lines Linux Kernel patch that improves responsiveness under system strain. Well, Lennart Poettering, a RedHat developer replied to Linus Torvalds on a maling list with an alternative to this patch that does the same thing yet all you have to do is run 2 commands and paste 4 lines in your ~/.bashrc file. I know it sounds unbelievable, but apparently someone even ran some tests which prove that Lennart's solution works.

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Use Vim As A Syntax Highlighting Pager | Ubuntu Tutorials

If you would like to set up your pager to highlight text in pretty colours then you can set up vim to do the job.

Just add the following line to .bashrc:
alias vless='vim -u /usr/share/vim/vimcurrent/macros/less.vim
From Ubuntu tutorials

UK's first dedicated prostate cancer virtual biobank launched

UK's first dedicated prostate cancer virtual biobank launched

Sunday 7 November 2010

National Cancer Research Institute Press Release

The first virtual biobank dedicated to prostate cancer research has been launched today by the National Cancer Research Institute (NCRI).

The UK Prostate Cancer Sample Collection Database will house details of around 10,000 biological samples taken from men in the UK with and without prostate cancer.

The virtual biobank will also hold other materials that will be useful for research, including DNA, RNA, blood and urine, increasing the total to around 100,000 samples.

Data on prostate cancer risk, how cancers have responded to treatment and the molecular make-up of the cancers will be anonymised and available for scientists to use in collaborative studies.

The database has been developed by The ProMPT (Prostate cancer mechanisms of progressions and treatment) Collaborative and the Southern Prostate Cancer Collaborative, which are funded by NCRI partners.

Additional sample databases from prostate researchers outside the Collaboratives are being added to make the virtual biobank an essential resource for all scientists working to turn prostate cancer discoveries in the lab into better treatments for patients.

Dr Hayley Whitaker, a prostate cancer researcher from Cancer Research UK’s Cambridge Research Institute who helped develop the database, said: “One of the biggest challenges in prostate cancer treatment is identifying the men with aggressive prostate cancers who should be treated, as opposed to others with non-aggressive tumours who could be monitored.

“This new biobank holds both clinical and molecular data, which could help us find a marker to help doctors make this difficult decision.”

Biobank lead developer Dr Daniel Brewer from The Institute of Cancer Research said: “Until now, UK prostate cancer scientists have generally been limited to conducting research on patient samples they could acquire themselves or through collaborations they forged themselves. This biobank will help improve scientists’ access to precious samples and hence increase the accuracy of results and make new discoveries more likely.”

Dr Jane Cope, director of the NCRI, said: “This is a really important resource for prostate cancer researchers. The new database will help ensure that scientists are able to make best use of samples donated by patients, avoiding waste and speeding up progress in understanding the disease and improving treatment.”

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Format and clean your data with Google Refine

Looks like "Google Refine" could be very useful for sorting out messy data.

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