Posts Tagged ‘x57l’
List of collaboration tools
July 3, 2017Thought the below was an interesting snippet from a dialogue I had….
QT:{{”
Collaboration tools: Even a small group…will quickly get unwieldy if we coordinate using long CC-chains on email threads.
…
I think the minimum requirements are central management, email lists, and document sharing.
…
Options that come to mind are:
– Google G-suite, Drive, and Groups (free for nonprofits, robust features, integrate with existing login…)
– Slack plus Dropbox (more suited for teams who are actively collaborating, but it could be a great framework)
– Yammer (looks great, but I’ve never really used it)
– Office365 (it’s heavyweight and costs money, but it’ll give us all the features we could ever imagine)
– Basecamp (I haven’t used it in years, and it’s more about project management than collaboration)
“}}
Single Cell Analysis paper
June 30, 2017http://genome-tech.ucsd.edu/public/Lake_Science_2016/
https://twitter.com/mikejg84/status/880240608144531456
16 Neuronal subtypes & [inter-regional] diversity revealed by [#singlecell]-nucleus RNAseq of…the brain
http://science.sciencemag.org/content/352/6293/1586.long
Neuronal subtypes and diversity revealed by single-nucleus RNA sequencing of the human brain.
Lake BB, Ai R, Kaeser GE, Salathia NS, Yung YC, Liu R, Wildberg A, Gao D, Fung HL, Chen S, Vijayaraghavan R, Wong J, Chen A, Sheng X, Kaper F, Shen R, Ronaghi M, Fan JB, Wang W, Chun J, Zhang K.
Science. 2016 Jun 24;352(6293):1586-90. doi: 10.1126/science.aaf1204.
First, design for data sharing : Nature Biotechnology : Nature Research
June 20, 2017Design for data sharing
http://www.Nature.com/nbt/journal/v34/n4/full/nbt.3516.html Issues in distributing mPower mobile dataset – no DAC, allowing donors to change preferences
QT:{{”
“This March, Sage Bionetworks (Seattle) began sharing curated data collected from >9,000 participants of mPower, a smartphone-enabled health research study for Parkinson’s disease. The mPower study is notable as one of the first observational assessments of human health to rapidly achieve scale as a result of its design and execution purely through a smartphone interface. To support this unique study design, we developed a novel electronic informed consent process that includes participant-determined data-sharing preferences. It is through these preferences that the new data—including self-reported outcomes and quantitative sensor data—are shared broadly for secondary analysis. Our hope is that by sharing these data immediately, prior even to our own complete analysis, we will shorten the time to harnessing any utility that this study’s data may hold to improve the condition of patients who suffer from this disease.
Turbulent times for data sharing
Our release of mPower comes at a turbulent time in data sharing. The power of data for secondary research is top of mind for many these days. Vice President Joe Biden, in heading President Barack Obama’s ambitious cancer ‘moonshot’, describes data sharing as second only to funding to the success of the effort. However, this powerful support for data sharing stands in opposition to the opinions of many within the research establishment. To wit, the august New England Journal of Medicine (NEJM)’s recent editorial suggesting that those who wish to reuse clinical trial data without the direct participation and approval of the original study team are “research parasites”. In the wake of colliding perspectives on data sharing, we must not lose sight of the scientific and societal ends served by such efforts.” “}}
An Expanded View of Complex Traits: From Polygenic to Omnigenic: Cell
June 19, 2017Thought-provoking calculations, perhaps suggesting that ever bigger association studies won’t yield useful results
https://twitter.com/joe_pickrell/status/875406448716632064
http://www.cell.com/cell/abstract/S0092-8674(17)30629-3
An Expanded View of Complex Traits: From Polygenic to Omnigenic
Evan A. Boyle
Yang I. Li
Jonathan K. Pritchard
DOI: http://dx.doi.org/10.1016/j.cell.2017.05.038
