6 | | |
| 6 | |
| 7 | == Bioinformatics / R-Project == |
| 8 | |
| 9 | * [http://www2.agrocampus-ouest.fr/math/useR-2009/tutorials/index.html The R User Conference 2009] |
| 10 | |
| 11 | * 先前準備[cloud:wiki:jazz/09-04-30 演講投影片]時,本覺得只講 BLAST 有點薄弱,因此想補充 [http://cran.r-project.org/ R-Project] 也有類似的演進,從單機,到 [http://www.stats.uwo.ca/faculty/yu/Rmpi/ R-MPI] 叢集,到 [http://cran.r-project.org/web/packages/GridR/ GridR] |
| 12 | * [http://cran.r-project.org/web/packages/GridR/ GridR] 套件 - 論文: [http://www.stefan-rueping.de/publications/wegener-etal-2007-a.pdf GridR: An R-based grid-enabled tool for data analysis in ACGT clinicogenomics trials] (PDF) |
| 13 | * 當初我就在想那有沒有 CloudR 呢?? 今天找了一下 R 的 MapReduce 實作,發現真的有耶~有一個 [http://cran.r-project.org/web/packages/mapReduce/ MapReduce] 的套件,還有[http://cran.r-project.org/web/packages/mapReduce/mapReduce.pdf 手冊](PDF)可以下載。 |
| 14 | * 更神奇的是 [http://aws.amazon.com/elasticmapreduce/ Amazon Web Service 也有支援 R] 呢!! |
| 15 | {{{ |
| 16 | #!sh |
| 17 | Develop your data processing application authored in your choice of Java, Ruby, Perl, Python, PHP, R, or C++. |
| 18 | }}} |
| 19 | * 另外,還因而找到 [http://ml.stat.purdue.edu/rhipe/index.html RHIPE - R and Hadoop Integrated Processing] 這個還蠻新的實作!!看樣子,只要找到合適的計算需求,就可以透過 Hadoop 跟 R 的結合來進行 MapReduce 運算呢!! |