# ENTRIES TAGGED "diybio"

## Four short links: 19 February 2014

### Slippy History, TPP Comic, SynBio Barriers, and 3D City Viz

1. 1746 Slippy Map of London — very nice use of Google Maps to recontextualise historic maps. (via USvTh3m)
2. TPP Comic — the comic explaining TPP that you’ve been waiting for. (via BoingBoing)
3. Synthetic Biology Investor’s Lament — some hypotheses about why synbio is so slow to fire.
4. vizcities — open source 3D (OpenGL) city and data visualisation platform, using open data.

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## Academic biology and its discontents

### Disaffected grad students and postdocs increasingly turn to DIYbio to do work that makes a difference.

When we started BioCoder, we assumed that we were addressing the DIYbio community: interested amateur hobbyists and experimenters without much formal background in biology, who were learning and working in independent hackerspaces. A couple of conversations have made me question that assumption — not that DIYbio exists; it’s clearly a healthy and growing movement, with new labs and hackerspaces…

## Four short links: 21 June 2012

### Randomized Trials for Policy, Crowdfunding Equity, Safe DIYBio, and Easy Unique Experiences

1. Test, Learn, Adapt (PDF) — UK Cabinet Office paper on randomised trials for public policy. Ben Goldacre cowrote.
2. UK EscapeTheCity Raises GBP600k in Crowd Equity — took just eight days, using the Crowdcube platform for equity-based crowd investment.
3. DIY Bio SOPs — CC-licensed set of standard operating procedures for a bio lab. These are the SOPs that I provided to the Irish EPA as part of my “Consent Conditions” for “Contained Use of Class 1 Genetically Modified Microorganisms”. (via Alison Marigold)
4. Shuffling Cards — shuffle a deck of cards until it’s randomised. That order of cards probably hasn’t ever been seen before in the history of mankind.

## Four short links: 14 June 2010

### Open Data, Open PCR, Open Sara Winge, and Open Source Big Graph Mining

1. Learning from Libraries: the Literacy Challenge of Open Data (David Eaves) — a powerful continuation of the theme from my Rethinking Open Data post. David observes that dumping data over the fence isn’t enough, we must help citizens engage. We have a model for that help, in the form of libraries: We didn’t build libraries for an already literate citizenry. We built libraries to help citizens become literate. Today we build open data portals not because we have a data or public policy literate citizenry, we build them so that citizens may become literate in data, visualization, coding and public policy.
2. OpenPCR on KickstarterIn 1983, Kary Mullis first developed PCR, for which he later received a Nobel Prize. But the tool is still expensive, even though the technology is almost 30 years old. If computing grew at the same pace, we would all still be paying $2,000+ for a 1 MHz Apple II computer. Innovation in biotech needs a kick start! 3. Wingeing It — profile of O’Reilly’s wonderful Sara Winge by the ever fabulous Quinn Norton. 4. PEGASUS — petascale graph mining toolkit from CMU. See their most recent publication. (via univerself on Delicious) Comments: 2 | ## Four short links: 10 November 2009 ### DIY Diagnostic Chips, Genetics on$5k a Genome, Cellphones as Diagnostic Microscopes, AR-Equipped Mechanics Do It Heads-Up

1. A children’s toy inspires a cheap, easy production method for high-tech diagnostic chips — microfluidic chips (with tiny liquid-filled channels) can cost $100k and more. Michelle Khine used the Shrinky Dinks childrens’ toy to make her own. “I thought if I could print out the [designs] at a certain resolution and then make them shrink, I could make channels the right size for micro­fluidics,” she says. (via BoingBoing) 2. Complete Genomics publishes in Science on low-cost sequencing of 3 human genomes (press release) — The consumables cost for these three genomes sequenced on the proof-of-principle genomic DNA nanoarrays ranged from$8,005 for 87x coverage to \$1,726 for 45x coverage for the samples described in this report. Drive that cost down! There’s a gold rush in biological discovery at the moment as we pick the low-hanging fruit of gross correlations between genome and physiome, but the science to reveal the workings of cause and effect is still in its infancy. We’re in the position of the 18th century natural philosophers who were playing with static electricity, oxygen, anaesthetics, and so on but who lacked today’s deeper insights into physical and chemical structure that explain the effects they were able to obtain. More data at this stage means more low-hanging fruit can be plucked, but the real power comes when we understand “how” and not just “what”. (via BoingBoing)
3. Far From a Lab? Turn a Cellphone into a Microscope (NY Times) — for some tests, you can use a camphone instead of a microscope. In one prototype, a slide holding a finger prick of blood can be inserted over the phone’s camera sensor. The sensor detects the slide’s contents and sends the information wirelessly to a hospital or regional health center. For instance, the phones can detect the asymmetric shape of diseased blood cells or other abnormal cells, or note an increase of white blood cells, a sign of infection, he said.
4. Augmented reality helps Marine mechanics carry out repair work (MIT TR) — A user wears a head-worn display, and the AR system provides assistance by showing 3-D arrows that point to a relevant component, text instructions, floating labels and warnings, and animated, 3-D models of the appropriate tools. An Android-powered G1 smart phone attached to the mechanic’s wrist provides touchscreen controls for cueing up the next sequence of instructions. [...] The mechanics using the AR system located and started repair tasks 56 percent faster, on average, than when wearing the untracked headset, and 47 percent faster than when using just a stationary computer screen.