At rOpenSci we are creating packages that allow access to data repositories through the R statistical programming environment that is already a familiar part of the workflow of many scientists. We hope that our tools will not only facilitate drawing data into an environment where it can readily be manipulated, but also one in which those analyses and methods can be easily shared, replicated, and extended by other researchers. While all the pieces for connecting researchers with these data sources exist as disparate entities, our efforts will provide a unified framework that will be quickly connect researchers to open data.
http://ropensci.org/
2013年2月11日星期一
rentrez - search or download data from various NCBI databases.
rentrez provides functions that work with the NCBI eutils to search or download data from various NCBI databases.
The package hasn't been thoroughly tested yet, but the functions for each of the Eutils functions are implimented. If you try the package and find bugs please let me know.
2012年12月7日星期五
The Best Scientific Figures of 2012
http://www.wired.com/wiredscience/2012/12/science-figures-2012/?pid=5582&viewall=true
Humanity's Recent Evolution
It's easy to think that modern life has slowed human evolution, but the opposite is true. Most of humanity's genetic variation has accumulated in the last few thousand years during a period of extraordinary population growth. As a species, we're more evolvable than ever.
In the figure above, taken from an in-depth genetic analysis of 6,515 people, the amount of genetic variation collectively present at each location in the human genome is tabulated from before (left) and after (right) the population boom.
Citation: “Analysis of 6,515 exomes reveals the recent origin of most human protein-coding variants.” By Wenqing Fu, Timothy D. O’Connor, Goo Jun, Hyun Min Kang, Goncalo Abecasis, Suzanne M. Leal, Stacey Gabriel, David Altshuler, Jay Shendure, Deborah A. Nickerson, Michael J. Bamshad, NHLBI Exome Sequencing Project & Joshua M. Akey. Vol. 491, No. 7426, 29 November 2012
2012年11月5日星期一
Install R and Rstudio in Ubuntu
Install R in Ubuntu is extremely easy if you don’t meet any exception, but if you meet, then you’d better be a very advanced linux user :-)
Install R
Because the Ubuntu official source R version is usually half of years older than R-project official source, so it is recommanded to using r-project.org official source to install the latest R system.
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Install Oracle DB access package
You can found new version of ROracle or DBI package in CRAN, it is also required you properly install the Oracle Instant Client.
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Install RStudio Server
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Do some RStudio Server setting
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Setting the proxy server for RStudio server
This section is optional, assured already install nginx in server.
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Setting auto restart and PATH
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Add a user in RStudio
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Update package
Usually it is more good to upgrade the r-base in system wide packages instead of per user
2012年3月16日星期五
really good ideas and guides on fast publication
go there to see the details, http://yihui.name/en/2012/03/a-really-fast-statistics-journal/
Followings are my comments:
Dear Yihui, Very Excellent Ideas and applicable tech guides. I agree well with you, though I am not working in pure stat area, but in Biology. The same issues you pointed out here, occurred also for Biology and for all other academic publishing areas (I guess). We definitely need some improvements in formatting, data/code sharing, and also peer review process.
In BioMed area, f1000research (http://f1000research.com/) has made the first step. "F1000 Research will offer immediate publication; open, post-publication peer review; open revisioning of work including ongoing updates;and encourage raw data deposition and publication. In addition, F1000Research will accept a broad range of article formats and content types." I think F1000research, by its post-publication peer-review rule, would be an ideal one fit your expectation (fast publication). Do you want to express any of your ideas on post-publication peer-review? I have not found them in this blog, though I have felt your passions on that.
Followings are my comments:
Dear Yihui, Very Excellent Ideas and applicable tech guides. I agree well with you, though I am not working in pure stat area, but in Biology. The same issues you pointed out here, occurred also for Biology and for all other academic publishing areas (I guess). We definitely need some improvements in formatting, data/code sharing, and also peer review process.
In BioMed area, f1000research (http://f1000research.com/) has made the first step. "F1000 Research will offer immediate publication; open, post-publication peer review; open revisioning of work including ongoing updates;and encourage raw data deposition and publication. In addition, F1000Research will accept a broad range of article formats and content types." I think F1000research, by its post-publication peer-review rule, would be an ideal one fit your expectation (fast publication). Do you want to express any of your ideas on post-publication peer-review? I have not found them in this blog, though I have felt your passions on that.
2012年3月9日星期五
2012年2月28日星期二
2012年2月24日星期五
2012年2月22日星期三
匹夫無罪,懷璧其罪
百姓本沒有罪,因身藏璧玉而獲罪。原指財寶能致禍。後亦比喻有才能、有理想而受害。
“匹夫无罪,怀璧其罪”出自《春秋左传-桓公十年》,原文如下:“初,虞叔有玉,虞公求旃。弗献。既而悔之,曰:‘周谚有之:匹夫无罪,怀璧其罪。吾焉用此,其以贾害也?’乃献之。又求其宝剑。叔曰:‘是无厌也。无厌,将及我。’遂伐虞公。故虞公出奔共池。”
2012年2月21日星期二
2012年2月13日星期一
2012年2月6日星期一
why we study phenotypic variations
I just cite a sequence here.
2012年2月1日星期三
a good plant research center - UZH Institute of plant biology
Molecular Plant Biology / Phytopathology | ||
---|---|---|
Prof. Beat Keller | Prof. Robert Dudler | PD Christoph Ringli |
Plant Developmental Genetics | ||
Prof. Ueli Grossniklaus | ||
Evolutionary Functional Genomics | ||
Prof. Kentaro Shimizu | ||
Molecular Plant Physiology | ||
Prof. Enrico Martinoia | Prof. Felix Keller | Prof. Stefan Hörtensteiner |
Limnology and Limnological Station | ||
Prof. Jakob Pernthaler | ||
Microbiology | ||
Prof. Leo Eberl | Dr. Laure Weisskopf | |
Administration / Library | ||
Administration Library |
2012年1月31日星期二
course material on evolution and genomics
Evolution and Genomics, here collected many different courses on evolution and genomics.
2012年1月29日星期日
I do not agree with him
Cultural history holds back Chinese research
We can not freely choose culture for ourself in China now. Everything has been controlled, especially those of culture. So how do you conclude as this, Peng Gong, a so-called intellectual in China? It is not the right time to think if cultural hold back research. It is the time for us to think how/at what level the communism politic depleted our freedom of ....
Do you know what happened in the period of the Cultural Evolution? We have already no culture for at least tens of years.
2012年1月28日星期六
important reference of computational/statistical application in Evo and Eco
These references are mostly recommended by my friend, Jinlong.
1.Phylogeography and Phylogenetics
http://www.utsc.utoronto.ca/~jweir/
2. Statistical method in Ecology
http://www.unc.edu/courses/2010fall/ecol/563/001/index.html
http://www.unc.edu/courses/2010fall/ecol/563/001/docs/lectures.html
3. principals of phylogenetics
http://ib.berkeley.edu/courses/ib200b/IB200B_SyllabusHandouts.shtml
4. phylogenetic comparative methods
http://www2.unil.ch/phylo/teaching/pmc.html
5. Bodega phylogenetic wiki
http://bodegaphylo.wikispot.org/Topics
6. wild evolution group
http://wildevolution.biology.ed.ac.uk/
7.Quantitative Methods in Ecology and Evolution
http://www.zoology.ubc.ca/~schluter/bio548/
8. how to a quantitative ecologist
http://greenmaths.st-andrews.ac.uk/index.aspx
1.
http://www.utsc.utoronto.ca/~jweir/
2. Statistical method in Ecology
http://www.unc.edu/courses/2010fall/ecol/563/001/index.html
http://www.unc.edu/courses/2010fall/ecol/563/001/docs/lectures.html
3. principals of phylogenetics
http://ib.berkeley.edu/courses/ib200b/IB200B_SyllabusHandouts.shtml
4. phylogenetic comparative methods
http://www2.unil.ch/phylo/teaching/pmc.html
5. Bodega phylogenetic wiki
http://bodegaphylo.wikispot.org/Topics
6. wild evolution group
http://wildevolution.biology.ed.ac.uk/
7.
http://www.zoology.ubc.ca/~schluter/bio548/
8. how to a quantitative ecologist
http://greenmaths.st-andrews.ac.uk/index.aspx
2012年1月20日星期五
2012年1月19日星期四
a logical progression for scientific research 做科研的逻辑
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