![[Toho University]](image/CLogo_Kihon_process.jpg "[Toho University]")
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ノート/ハックメモ2018-2https://pepper.is.sci.toho-u.ac.jp:443/pepper/index.php?%A5%CE%A1%BC%A5%C8%2F%A5%CF%A5%C3%A5%AF%A5%E1%A5%E22018-2 |
![[YYLAB]](image/yamanouc2.png "[YYLAB]")
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訪問者数 1903 最終更新 2020-02-12 (水) 08:42:34
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ムキムキで疲れにくい体ができる？らくらくできる体幹トレーニングがこれｗｗｗ 短期間で効率的にカロリー消費できるトレーニング10 健康にいい、適度な運動量ってどのくらい？ Physical activity guidelines for adults (UK National Health Service)
いもづる式に文字が上達する｢感じのいい字｣を最短でマスターするコツ
https://www.uniprot.org/uniprot/?query=reviewed:yes+AND+yliB+AND+organism:Escherichia%20coli&columns=go-id&format=tab結果は
Gene ontology IDs GO:0006974; GO:0030288; GO:0042938; GO:0043190; GO:1904680
check_pd=[row for index, row in data.groupby("user_id")][Term] id: GO:0000001 name: mitochondrion inheritance namespace: biological_process def: "The distribution of mitochondria, including the mitochondrial genome, into daughter cells after mitosis or meiosis, mediated by interactions between mitochondria and the cytoskeleton." [GOC:mcc, PMID:10873824, PMID:11389764] synonym: "mitochondrial inheritance" EXACT [] is_a: GO:0048308 ! organelle inheritance is_a: GO:0048311 ! mitochondrion distribution
<dbReference type="GO" id="GO:0009088"> <property type="term" value="P:threonine biosynthetic process"/> <property type="evidence" value="ECO:0000501"/> <property type="project" value="UniProtKB-UniRule"/> </dbReference> <dbReference type="GO" id="GO:0031556"> <property type="term" value="P:transcriptional attenuation by ribosome"/> <property type="evidence" value="ECO:0000501"/> <property type="project" value="UniProtKB-UniRule"/> </dbReference>
{"numberOfHits":1,"results": [{"id":"GO:0009088","isObsolete":false,
"name":"threonine biosynthetic process",
"definition":{"text":"The chemical reactions and pathways resulting in the formation of threonine (2-amino-3-hydroxybutyric acid),
a polar, uncharged, essential amino acid found in peptide linkage in proteins.",
"xrefs": [{"dbCode":"ISBN","dbId":"0198506732"}]},
"synonyms":[{"name":"threonine formation","type":"exact"},{"name":"threonine synthesis","type":"exact"},
{"name":"threonine anabolism","type":"exact"},{"name":"threonine biosynthesis","type":"exact"}],
"aspect":"biological_process","usage":"Unrestricted"}],"pageInfo":null}
{"numberOfHits":1,"results": [{"id":"GO:0031556","isObsolete":false,
"name":"transcriptional attenuation by ribosome",
"definition":{"text":"A type of transcriptional regulation at the level of early termination.
This process can occur only in prokaryotes, where transcription of an operon into messenger RNA
and translation of that mRNA into polypeptides occur simultaneously. The general principle is
that alternative mRNA secondary structures occur under different physiological conditions such as
available amount of a particular amino acid. One set of conditions favors early termination of
transcription. In the classic example of the trp biosynthesis operon, translation of the gene for
a short, trp-containing polypeptide called the trp operon leader peptide pauses either at a trp codon
(if tryptophan is scarce) or the stop codon (if trp is readily available). In the former situation
transcription continues, but in the latter a Rho-independent terminator forms and reduces,
or attenuates, expression of the tryptophan biosynthesis genes. Although the polypeptides
encoded by leader peptide genes appear not to be stable once their translation is complete,
it is suggested by recent studies that their nascent polypeptide chains interact specifically with
ribosomes, specific uncharged tRNAs, or other cellular components to inhibit release at the stop
codon and improve the function of transcriptional attenuation as a regulatory switch.",
"xrefs":[{"dbCode":"ISBN","dbId":"0198542682"}]},
"synonyms":[{"name":"ribosome-mediated transcriptional attenuation","type":"exact"}],
"aspect":"biological_process","usage":"Unrestricted"}],"pageInfo":null}{"numberOfHits":1,"results":
[{"id":"GO:0005829","isObsolete":false,"name":"cytosol","definition":{"text":"The part of
the cytoplasm that does not contain organelles but which does contain other particulate
matter, such as protein complexes."},
"ancestors":["GO:0005623","GO:0005737","GO:0005829","GO:0044464",
"GO:0044444","GO:0044424","GO:0005575","GO:0005622"],
"children":[{"id":"GO:0099510","relation":"occurs_in"},
{"id":"GO:0044445","relation":"part_of"},{"id":"GO:0061502","relation":"occurs_in"},
{"id":"GO:0099522","relation":"part_of"},{"id":"GO:0045249","relation":"part_of"},
{"id":"GO:1904962","relation":"occurs_in"},{"id":"GO:0045243","relation":"part_of"},
{"id":"GO:0061475","relation":"occurs_in"},{"id":"GO:0042147","relation":"occurs_in"},
{"id":"GO:0090119","relation":"occurs_in"},{"id":"GO:0045248","relation":"part_of"},
{"id":"GO:0016482","relation":"occurs_in"},{"id":"GO:0099523","relation":"part_of"},
{"id":"GO:0099524","relation":"part_of"},{"id":"GO:0033576","relation":"occurs_in"},
{"id":"GO:0045250","relation":"part_of"},{"id":"GO:0006895","relation":"occurs_in"},
{"id":"GO:0002186","relation":"part_of"},{"id":"GO:0022626","relation":"part_of"},
{"id":"GO:0061725","relation":"occurs_in"},{"id":"GO:0090160","relation":"occurs_in"},
{"id":"GO:1901950","relation":"occurs_in"},{"id":"GO:0045022","relation":"occurs_in"},{"id":"GO:0002184","relation":"occurs_in"},
{"id":"GO:0099522","relation":"is_a"},{"id":"GO:0033582","relation":"occurs_in"}],
"aspect":"cellular_component","usage":"Unrestricted"}],"pageInfo":null}import matplotlib matplotlib.matplotlib_fname()とすると、WinPythonのインストールディレクトリ下のpython-3.6.6\lib\site-packages\matplotlib\mpl-data\matplotlibrc があることが分かったので、
font.family : IPAexGothic
rem MeCab environment set MECABRC=%WINPYDIR%\..\MeCab\etc\mecabrc set MECAB_PATH=%WINPYDIR%\..\MeCab\bin\libmecabdll set PATH=%WINPYDIR%\..\MeCab\bin\;%PATH%
from natto import MeCab nm = MeCab() text = 'すもももももももものうち' print(nm.parse(text))
| 潜在変数 | |||
| 連続 | 質的 | ||
| 観測 変数 | 連続 | 因子分析 | 潜在プロフィール分析 |
| 質的 | 項目反応理論 | 潜在クラス分析 | |
%matplotlib inline
import seaborn as sns
sns.set()
df = sns.load_dataset("iris")
sns.pairplot(df, hue="species")CREATE TABLE [talbe] SELECT [fields] FROM [tables]
select id, ABC, count(*) from tablename group by id, ABC
create table newtablename select id, entyear, gakka, count(case 〇〇〇〇 ABC='A' then 1 else null end) as 'A', count(case 〇〇〇〇 ABC='B' then 1 else null end) as 'B', count(case 〇〇〇〇 ABC='C' then 1 else null end) as 'C' from tablename group by id;
Dictionary of Protein Sites and Patterns Release 2018_05, May 18 Swiss Institute of Bioinformatics 2,525 entries Protein families database of alignments and HMMs Release 31.0, Mar 17 The Pfam Consortium 16,479 entries NCBI Conserved Domain Database Release 3.16, Apr 17 National Center for Biotechnology Information 50,369 entries
\([^\)]*\) または \(.*?\)
var jsonData = $.ajax({
url: "getData.php", <--- これで済むところがミソか。
dataType: "json",
async: false
}).responseText;
// Create our data table out of JSON data loaded from server.
var data = new google.visualization.DataTable(jsonData);
として取り込む。あとはグラフを描くだけ。送り出し側は、たとえばPHPで書けば<?php
// This is just an example of reading server side data and sending it to the client.
// It reads a json formatted text file and outputs it.
$string = file_get_contents("sampleData.json");
echo $string;
// Instead you can query your database and parse into JSON etc etc
?>
で、つまりCGIとしてjsonデータを送りだせばよいらしい。まずextensions configuratorを導入 pip install jupyter_nbextensions_configurator jupyter nbextensions_configurator enable --user その上で、nbextensionがいっぱい入ったパックをインストール pip install https://github.com/ipython-contrib/jupyter_contrib_nbextensions/tarball/master jupyter contrib nbextension install --user
