From 18cc7d9d4acc60e23bf247f4d8415c430d32395a Mon Sep 17 00:00:00 2001 From: Anka Date: Wed, 15 Jan 2025 00:39:40 +0000 Subject: [PATCH] Daily Update --- R/list.txt | 14 ++++----- content/post/-p-kraken-16s-its.md | 16 ++++++++++ ...el-com-blog-2025-01-14-rprotobuf-0-4-23.md | 30 +++++++++++++++++++ ...n-of-days-that-were-hotter-than-average.md | 15 ++++++++++ ...-01-14-earth-was-hotter-than-ever-again.md | 15 ++++++++++ ...-genres-are-cumulative-and-some-are-not.md | 13 ++++++++ ...s-in-r-vectors-matrices-and-data-frames.md | 16 ++++++++++ ...nding-machine-learning-and-data-science.md | 16 ++++++++++ 8 files changed, 128 insertions(+), 7 deletions(-) create mode 100644 content/post/-p-kraken-16s-its.md create mode 100644 content/post/dirk-eddelbuettel-com-blog-2025-01-14-rprotobuf-0-4-23.md create mode 100644 content/post/flowingdata-com-2025-01-14-distribution-of-days-that-were-hotter-than-average.md create mode 100644 content/post/flowingdata-com-2025-01-14-earth-was-hotter-than-ever-again.md create mode 100644 content/post/statmodeling-stat-columbia-edu-2025-01-14-genre-fiction-some-genres-are-cumulative-and-some-are-not.md create mode 100644 content/post/www-r-bloggers-com-2025-01-basic-data-structures-in-r-vectors-matrices-and-data-frames.md create mode 100644 content/post/www-r-bloggers-com-2025-01-understanding-machine-learning-and-data-science.md diff --git a/R/list.txt b/R/list.txt index f0ef91538..ac2e62428 100644 --- a/R/list.txt +++ b/R/list.txt @@ -167,16 +167,16 @@ "xiangyun.rbind.io/index.xml","2025-01-09" "feeds.feedburner.com/ProfessorRobJHyndman","2025-01-09" "robjhyndman.com/index.xml","2025-01-09" -"https://asa-blog.netlify.app/index.xml","2025-01-09" "freakonometrics.hypotheses.org/feed","2025-01-10" "https://yangzhang.site/feed_rss_updated.xml","2025-01-12" "http://anotherdayu.com/?feed=rss","2025-01-13" "anotherdayu.com/feed/","2025-01-13" -"dirk.eddelbuettel.com/blog/index.rss","2025-01-13" "s0521.github.io/cn/index.xml","2025-01-14" -"flowingdata.com/feed","2025-01-14" -"https://www.r-bloggers.com/feed","2025-01-14" -"www.robinlovelace.net/index.xml","2025-01-14" "jihongzhang.org/index.xml","2025-01-14" -"statmodeling.stat.columbia.edu/feed/","2025-01-14" -"andrewgelman.com/feed/","2025-01-14" +"https://asa-blog.netlify.app/index.xml","2025-01-15" +"dirk.eddelbuettel.com/blog/index.rss","2025-01-15" +"flowingdata.com/feed","2025-01-15" +"https://www.r-bloggers.com/feed","2025-01-15" +"www.robinlovelace.net/index.xml","2025-01-15" +"statmodeling.stat.columbia.edu/feed/","2025-01-15" +"andrewgelman.com/feed/","2025-01-15" diff --git a/content/post/-p-kraken-16s-its.md b/content/post/-p-kraken-16s-its.md new file mode 100644 index 000000000..b4344346f --- /dev/null +++ b/content/post/-p-kraken-16s-its.md @@ -0,0 +1,16 @@ +--- +title: 使用Kraken进行16S/ITS物种注释（超快） +date: '2025-01-14' +linkTitle: /p/kraken-16s-its/ +source: Asa's blog +description: |- + Featured image of post 使用Kraken进行16S/ITS物种注释（超快）

Introduction

+

上次记录了一下qiime2的扩增子分析流程。但是实际使用时，在最后一步物种注释时卡住了，如果使用常用的feature-classifier方法，我尝试使用unite数据库鉴定了100条ITS序列，居然用了半个小时！尴尬的是，我有整整10万条ASV序列，这得跑到猴年马月。我想到做宏基因组时，千万级数量的reads用kraken做物种注释也不需要这么久，肯定有快的方法的。

+

然后发现Kraken用于16S已经有文章了： + Lu, J., Salzberg, S.L. Ultrafast and accurate 16S rRNA microbial community analysis using Kraken 2. Microbiome 8, 124 (2020).

Introduction

+

上次记录了一下qiime2的扩增子分析流程。但是实际使用时，在最后一步物种注释时卡住了，如果使用常用的feature-classifier方法，我尝试使用unite数据库鉴定了100条ITS序列，居然用了半个小时！尴尬的是，我有整整10万条ASV序列，这得跑到猴年马月。我想到做宏基因组时，千万级数量的reads用kraken做物种注释也不需要这么久，肯定有快的方法的。

+

然后发现Kraken用于16S已经有文章了： +Lu, J., Salzberg, S.L. Ultrafast and accurate 16S rRNA microbial community analysis using Kraken 2. Microbiome 8, 124 (2020). A new maintenance release 0.4.23 of RProtoBuf + arrived on CRAN earlier today, + about one year after the previous + update. RProtoBuf + provides R with bindings for the + Google Protocol Buffers + (“ProtoBuf”) data encoding and serialization library used and + released by Google, and ... +disable_comments: true +--- +

A new maintenance release 0.4.23 of RProtoBuf +arrived on CRAN earlier today, +about one year after the previous +update. RProtoBuf +provides R with bindings for the +Google Protocol Buffers +(“ProtoBuf”) data encoding and serialization library used and +released by Google, and ... \ No newline at end of file diff --git a/content/post/flowingdata-com-2025-01-14-distribution-of-days-that-were-hotter-than-average.md b/content/post/flowingdata-com-2025-01-14-distribution-of-days-that-were-hotter-than-average.md new file mode 100644 index 000000000..8c97fb807 --- /dev/null +++ b/content/post/flowingdata-com-2025-01-14-distribution-of-days-that-were-hotter-than-average.md @@ -0,0 +1,15 @@ +--- +title: Distribution of days that were hotter than average +date: '2025-01-14' +linkTitle: https://flowingdata.com/2025/01/14/distribution-of-days-that-were-hotter-than-average/ +source: FlowingData +description:

BBC went with the gradient-filled frequency + trails to show the distribution of daily…

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BBC went with the gradient-filled frequency trails to show the distribution of daily…

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This is some good step charting by + Mira Rojanasakul for the New York…

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This is some good step charting by Mira Rojanasakul for the New York…

Tags: , , Continue + reading → ... +disable_comments: true +--- +I’ve been reading some books about the history of twentieth-century mystery novels and science fiction stories, and one thing that struck me was that each of these genres had a sense of continuity. If you used a gimmick in a … Continue reading → ... \ No newline at end of file diff --git a/content/post/www-r-bloggers-com-2025-01-basic-data-structures-in-r-vectors-matrices-and-data-frames.md b/content/post/www-r-bloggers-com-2025-01-basic-data-structures-in-r-vectors-matrices-and-data-frames.md new file mode 100644 index 000000000..2e031ed8d --- /dev/null +++ b/content/post/www-r-bloggers-com-2025-01-basic-data-structures-in-r-vectors-matrices-and-data-frames.md @@ -0,0 +1,16 @@ +--- +title: 'Basic Data Structures in R: Vectors, Matrices, and Data Frames' +date: '2025-01-14' +linkTitle: https://www.r-bloggers.com/2025/01/basic-data-structures-in-r-vectors-matrices-and-data-frames/ +source: R-bloggers +description: |- +

IntroductionIn the world of data analysis and statistical computing, R stands out as a powerful and versatile language. Its ability to handle complex data operations with ease makes it a favorite among data scientists, statisticians, and researchers. A...
+
+
+ Continue reading: Basic Data Structures in R: ... +disable_comments: true +--- +
IntroductionIn the world of data analysis and statistical computing, R stands out as a powerful and versatile language. Its ability to handle complex data operations with ease makes it a favorite among data scientists, statisticians, and researchers. A...
+
+
+Continue reading: Basic Data Structures in R: ... \ No newline at end of file diff --git a/content/post/www-r-bloggers-com-2025-01-understanding-machine-learning-and-data-science.md b/content/post/www-r-bloggers-com-2025-01-understanding-machine-learning-and-data-science.md new file mode 100644 index 000000000..8da3e6feb --- /dev/null +++ b/content/post/www-r-bloggers-com-2025-01-understanding-machine-learning-and-data-science.md @@ -0,0 +1,16 @@ +--- +title: Understanding Machine Learning and Data Science +date: '2025-01-14' +linkTitle: https://www.r-bloggers.com/2025/01/understanding-machine-learning-and-data-science/ +source: R-bloggers +description: |- +

The post Understanding Machine Learning and Data Science appeared first on Data Science Tutorials
+ Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials.
+ Understanding Machine Learning and Data Science, In today’s digital age, the terms “Machine Learning” and “Data Science” have become buzzwords, ...

+ Continue reading: Understanding Machine Learning and Data ... +disable_comments: true +--- +

The post Understanding Machine Learning and Data Science appeared first on Data Science Tutorials
+Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials.
+Understanding Machine Learning and Data Science, In today’s digital age, the terms “Machine Learning” and “Data Science” have become buzzwords, ...

+Continue reading: Understanding Machine Learning and Data ... \ No newline at end of file