{"id":1165,"date":"2013-07-04T16:34:05","date_gmt":"2013-07-04T07:34:05","guid":{"rendered":"http:\/\/nagasakilab.csml.org\/ja\/?page_id=1165"},"modified":"2018-01-15T14:47:47","modified_gmt":"2018-01-15T05:47:47","slug":"insilico2013","status":"publish","type":"page","link":"https:\/\/nagasakilab.csml.org\/ja\/insilico2013","title":{"rendered":"\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff1a2013\u5e74\u5ea6\u6d3b\u52d5\u5831\u544a"},"content":{"rendered":"<p>\u7b2c26\u56de\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff084\u670819\u65e5\uff09<br \/>\n\u30bf\u30a4\u30c8\u30eb\uff1aInformation Theoretic Analysis of Long non-coding RNA as a gene expression\u3000control mechanism<br \/>\n\u8b1b\u5e2b\uff1aGeorge Chalkidis ( Institute of Medical Science, The University of Tokyo)<\/p>\n<p>\u7b2c27\u56de\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff084\u670826\u65e5\uff09<br \/>\n\u30bf\u30a4\u30c8\u30eb\uff1a\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u4fdd\u8b77\u30c7\u30fc\u30bf\u30de\u30a4\u30cb\u30f3\u30b0\u6280\u8853\u306e\u52d5\u5411\u3068\u533b\u7642\u7d71\u8a08\u3078\u306e\u5fdc\u7528<br \/>\n\u30fb\u8b1b\u5e2b\uff1a\u9ad8\u6a4b\u514b\u5df3\uff08NTT\u30bb\u30ad\u30e5\u30a2\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u7814\u7a76\u6240\uff09<\/p>\n<p>\u7b2c28\u56de\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff085\u670810\u65e5\uff09<br \/>\n\u30fb\u30bf\u30a4\u30c8\u30eb\uff1a\u795e\u7d4c\u7a81\u8d77\u4f38\u9577\u306b\u95a2\u4e0e\u3059\u308b\u30ad\u30ca\u30fc\u30bc\u63a8\u5b9a\u306e\u305f\u3081\u306e\u30c7\u30fc\u30bf\u30de\u30a4\u30cb\u30f3\u30b0\u624b\u6cd5\u306e\u9069\u7528<br \/>\n\u30fb\u8b1b\u5e2b\uff1a\u5409\u7530\u88d5\u53f8\uff08\u5948\u826f\u5148\u7aef\u79d1\u5b66\u6280\u8853\u5927\u5b66\u9662\u5927\u5b66\u535a\u58eb\u524d\u671f\u8ab2\u7a0b\uff09<\/p>\n<p>\u7b2c29\u56de\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff085\u670817\u65e5\uff09<br \/>\n\u30fb\u30bf\u30a4\u30c8\u30eb\uff1a\u533b\u76423.0\uff1a\u5b6b\u6b63\u7fa9\u3092\u9a5a\u304b\u305b\u305f\u30e2\u30d0\u30a4\u30eb\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u304c\u5207\u308a\u958b\u304f\u533b\u7642\u306e\u672a\u6765<br \/>\n\u30fb\u8b1b\u5e2b\uff1a\u7551\u4e2d\u6d0b\u4eae\uff08\u682a\u5f0f\u4f1a\u793e\u30a2\u30a4\u30ad\u30e5\u30fc\u30d6\u30c9\u30b7\u30b9\u30c6\u30e0\u30ba\u53d6\u7de0\u5f79\uff09<\/p>\n<p>\u7b2c30\u56de\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff085\u670824\u65e5\uff09<br \/>\n\u30fb\u30bf\u30a4\u30c8\u30eb\uff1a\u30d2\u30c8\u30b2\u30ce\u30e0\u306e\u9032\u5316\u306b\u304a\u3051\u308b\u81ea\u7136\u9078\u629e\u3068\u907a\u4f1d\u7684\u6d6e\u52d5\u306e\u5f79\u5272<br \/>\n\u30fb\u8b1b\u5e2b\uff1a\u9577\u7530\u3000\u76f4\u6a39\uff08\u56fd\u7acb\u907a\u4f1d\u5b66\u7814\u7a76\u6240\uff09<\/p>\n<p>\u7b2c31\u56de\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff086\u670810\u65e5\uff09<br \/>\n\u30fb\u6f14\u984c\uff1a\u30d3\u30d5\u30a3\u30ba\u30b9\u83cc\u6295\u4e0e\u306b\u3088\u308b\u6297\u30a2\u30ec\u30eb\u30ae\u30fc\u4f5c\u7528<br \/>\n\u30fb\u8b1b\u5e2b\uff1a\u5c0f\u7530\u5dfb \u4fca\u5b5d\uff08\u68ee\u6c38\u4e73\u696d\u682a\u5f0f\u4f1a\u793e\u98df\u54c1\u57fa\u76e4\u7814\u7a76\u6240\uff09<\/p>\n<p>\u7b2c32\u56de\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff087\u67085\u65e5\uff09<br \/>\n\u30bf\u30a4\u30c8\u30eb\uff1a\u30dd\u30b9\u30c8\u30b2\u30ce\u30e0\u30ef\u30a4\u30c9\u95a2\u9023\u89e3\u6790\u306b\u3088\u308b\u6613\u7f79\u60a3\u6027\u4e88\u6e2c\u30e2\u30c7\u30eb\u69cb\u7bc9\u3068\u75be\u60a3\u611f\u53d7\u6027\u8ee2\u5199\u5236\u5fa1\u30e1\u30ab\u30cb\u30ba\u30e0\u89e3\u660e<br \/>\n\u8b1b\u5e2b\uff1a\u4e2d\u5ca1 \u535a\u53f2\uff08\u56fd\u7acb\u907a\u4f1d\u5b66\u7814\u7a76\u6240\uff09<\/p>\n<table border=\"0\" width=\"584\">\n<tbody>\n<tr>\n<td width=\"584\">&nbsp;<strong>\u7b2c33\u56de\u3000\u300c\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\u300d&nbsp;<\/strong><\/td>\n<td>&nbsp;<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u5e73\u621025\u5e747\u670826\u65e5(\u91d1)<br \/>\n\u8b1b\u5e2b\uff1a\u30af\u30ea\u30e6\u30b3\u30d5\u30fb\u30ad\u30ea\u30eb\u3000- Kryukov Kirill\uff08\u56fd\u7acb\u907a\u4f1d\u5b66\u7814\u7a76\u6240\uff09<br \/>\n\u30bf\u30a4\u30c8\u30eb\u300c\u30b2\u30ce\u30e0\u591a\u91cd\u914d\u5217\u30a2\u30e9\u30a4\u30f3\u30e1\u30f3\u30c8\u306e\u305f\u3081\u306e\u30c4\u30fc\u30eb\u300d<br \/>\n\u5834\u6240\uff1a\u6771\u5317\u5927\u5b66\u3000\u661f\u9675\u30ad\u30e3\u30f3\u30d1\u30b9 \u3000\u6771\u5317\u30e1\u30c7\u30a3\u30ab\u30eb\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u6a5f\u69cb2\u968e\u4f1a\u8b70\u5ba41<br \/>\n\u30fb\u6f14\u984c\uff1aMISHIMA a tool for genomic multiple sequence alignment<\/p>\n<p><a href=\"http:\/\/nagasakilab.csml.org\/ja\/wp-content\/uploads\/2013\/07\/33_inclico_Lecture.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-thumbnail wp-image-1213\" title=\"33_inclico_Lecture\" src=\"http:\/\/nagasakilab.csml.org\/ja\/wp-content\/uploads\/2013\/07\/33_inclico_Lecture-150x150.jpg\" alt=\"\" width=\"150\" height=\"150\"><\/a><a href=\"http:\/\/nagasakilab.csml.org\/ja\/wp-content\/uploads\/2013\/07\/33_inclico_all.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-1199\" title=\"33_inclico_all\" src=\"http:\/\/nagasakilab.csml.org\/ja\/wp-content\/uploads\/2013\/07\/33_inclico_all-300x145.jpg\" alt=\"\" width=\"300\" height=\"145\"><\/a><\/p>\n<p>\u30fb\u6982\u8981\uff1a<br \/>\nMISHIMA is a multiple DNA sequence alignment method that\u3000uses heuristics for quickly finding<br \/>\nregions of high similarity betweensequences.<br \/>\nMISHIMA operates by locating rare DNA fragments shared by\u3000multiple sequences and using them<br \/>\nas alignment anchors. This technique allows aligning multiple bacterial genomes in short time.<br \/>\nHere we present the improved version 2 of MISHIMA aligner. Sensitivity of the aligner has<br \/>\nbeen improved by using only certain positions within the analyzed DNA words.<br \/>\nAnother improvement concerns the choice of the word length. In the original MISHIMA a fixed<br \/>\nuser-specified word length was used. Now it is chosen dynamically and automatically during<br \/>\nthe alignment process. Also MISHIMA can now better handle circular DNA sequences.<br \/>\nThe improved MISHIMA aligner has been tested on a range of bacterial and fungal genomes.<\/p>\n<p>\u7b2c34\u56de\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff088\u67082\u65e5\uff09<br \/>\n\u30fb\u6f14\u984c\uff1a\u5929\u7136\u5909\u6027\u30bf\u30f3\u30d1\u30af\u8cea\u306e\u5206\u5b50\u9032\u5316<br \/>\n\u30fb\u8b1b\u5e2b\uff1a\u6cb3\u5408\u6d0b\u4ecb\uff08\u524d\u6a4b\u5de5\u79d1\u5927\u5b66\uff09<\/p>\n<p>\u7b2c35\u56de\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff0810\u670816\u65e5\uff09<br \/>\n\u30fb\u6f14\u984c\uff1a\u79d1\u635c\u7814\u306e\u696d\u52d9\u5185\u5bb9\u3000\uff0dDNA\u578b\u9451\u5b9a\u3092\u4e2d\u5fc3\u306b\uff0d<br \/>\n\u30fb\u8b1b\u5e2b\uff1a\u5e73\u7530\u667a\u58eb\uff08\u5bae\u57ce\u770c\u8b66\u5bdf\u79d1\u5b66\u635c\u67fb\u7814\u7a76\u6240\uff09<\/p>\n<p>\u7b2c36 \u56de\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff0810\u670818\u65e5\uff09<br \/>\n\u30fb\u6f14\u984c\uff1a\u79d8\u5bc6\u8a08\u7b97\u306b\u3088\u308b\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u691c\u7d22 \u2015\u30b2\u30ce\u30e0\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3078\u306e\u5fdc\u7528\u3092\u76ee\u6307\u3057\u3066\u2015<br \/>\n\u30fb\u8b1b\u5e2b\uff1a\u6e05\u6c34\u4f73\u5948\uff08\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240 \u751f\u547d\u60c5\u5831\u5de5\u5b66\u7814\u7a76\u30bb\u30f3\u30bf\u30fc\uff09\u3010CBRC\u30df\u30cb\u30b7\u30ea\u30fc\u30ba\u3011<\/p>\n<p>\u7b2c37\u56de\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff0810\u670818\u65e5\uff09<br \/>\n\u30fb\u6f14\u984c\uff1aGaussian Markov Random Fields and Network Reconstruction<br \/>\n\u30fb\u8b1b\u5e2b\uff1aPatricia Menendez\uff08School of Mathematics and Physics, University of Queensland, Australia\uff09<\/p>\n<p>\u7b2c38\u56de\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff0811\u67088\u65e5\uff09<br \/>\n\u30fb\u6f14\u984c\uff1aNBDC\u30d2\u30c8\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9 \u30d2\u30c8\u30c7\u30fc\u30bf\u5171\u6709\u30ac\u30a4\u30c9\u30e9\u30a4\u30f3\u3068 \u30d2\u30c8\u30c7\u30fc\u30bf\u63d0\u4f9b\u30fb\u5229\u7528\u7533\u8acb\u306e\u7d39\u4ecb<br \/>\n\u30fb\u8b1b\u5e2b\uff1a\u5ddd\u5d8b\u5b9f\u82d7\uff08\u79d1\u5b66\u6280\u8853\u632f\u8208\u6a5f\u69cb\u30fb\u30d0\u30a4\u30aa\u30b5\u30a4\u30a8\u30f3\u30b9\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u30bb\u30f3\u30bf\u30fc\uff09<\/p>\n<p>\u7b2c39\u56de\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff0811\u670815\u65e5\uff09<br \/>\n\u30fb\u6f14\u984c\uff1aHLA\u907a\u4f1d\u5b50\u9818\u57df\u306e\u7279\u6b8a\u6027\u3068HLA\u95a2\u9023\u89e3\u6790<br \/>\n\u30fb\u8b1b\u5e2b\uff1a\u5927\u6a4b\u9806\uff08\u7b51\u6ce2\u5927\u5b66\u5927\u5b66\u9662\u533b\u5b66\u533b\u7642\u7cfb\u5206\u5b50\u907a\u4f1d\u75ab\u5b66\u7814\u7a76\u5ba4\uff09<\/p>\n<p>\u7b2c40\u56de\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff0812\u67086\u65e5\uff09<br \/>\n\u30fb\u6f14\u984c\uff1a\u4e00\u822c\u5316\uff54\u7d71\u8a08\u91cf\u306e\u6f38\u8fd1\u7684\u6027\u8cea\u306e\u8003\u5bdf\u3068\u305d\u306e\u5b9f\u30c7\u30fc\u30bf\u89e3\u6790\u3078\u306e\u5fdc\u7528<br \/>\n\u30fb\u8b1b\u5e2b\uff1a\u5c0f\u68ee\u7406\uff08\u7d71\u8a08\u6570\u7406\u7814\u7a76\u6240\uff09<\/p>\n<p>\u7b2c41\u56de\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff0812\u670810\u65e5\uff09<br \/>\n\u30fb\u6f14\u984c\uff1a\u6700\u8fd1\u306e\u30ab\u30fc\u30cd\u30eb\u6cd5\u3068\u3057\u3066\u6b63\u5b9a\u5024\u30ab\u30fc\u30cd\u30eb\u3092\u4f7f\u3063\u305f\u30d9\u30a4\u30ba\u63a8\u8ad6\u306e\u8a71\u984c<br \/>\n\u30fb\u8b1b\u5e2b\uff1a\u897f\u5c71\u60a0\uff08\u7d71\u8a08\u6570\u7406\u7814\u7a76\u6240\uff09<\/p>\n<p>\u7b2c42\u56de\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff0812\u670813\u65e5\uff09<br \/>\n\u30fb\u6f14\u984c\uff1a\u7a2e\u9593\u6bd4\u8f03\u304b\u3089\u907a\u4f1d\u5b50\u91cf\u88dc\u511f\u6a5f\u69cb\u306e\u9032\u5316\u3092\u63a2\u308b<br \/>\n\u30fb\u8b1b\u5e2b\uff1a\u91ce\u6fa4\u660c\u6587\uff08\u56fd\u7acb\u907a\u4f1d\u5b66\u7814\u7a76\u6240\uff09<\/p>\n<p>\u7b2c43\u56de\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff0812\u670820\u65e5\uff09<br \/>\n\u30fb\u6f14\u984c\uff1a\u60a3\u8005\u7531\u6765iPS\u7d30\u80de\u3092\u3082\u3061\u3044\u305f\u30ec\u30c3\u30c8\u75c7\u5019\u7fa4\u30c8\u30e9\u30f3\u30b9\u30af\u30ea\u30d7\u30c8\u30fc\u30e0\u89e3\u6790<br \/>\n\u30fb\u8b1b\u5e2b\uff1a\u7530\u4e2d\u7fa9\u7ae0\uff08Yale\u5927\u5b66\uff09<\/p>\n<p>\u7b2c44\u56de\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff081\u670817\u65e5\uff09<br \/>\n\u30fb\u6f14\u984c\uff1a\u810a\u690e\u52d5\u7269\u55c5\u899a\u53d7\u5bb9\u4f53\u907a\u4f1d\u5b50\u306e\u9032\u5316\u3000-\u74b0\u5883\u306b\u5fdc\u3058\u3066\u5909\u5316\u3059\u308b\u30b2\u30ce\u30e0-<br \/>\n\u30fb\u8b1b\u5e2b\uff1a\u65b0\u6751\u82b3\u4eba\uff08\u6771\u4eac\u5927\u5b66\u5927\u5b66\u9662\u8fb2\u5b66\u751f\u547d\u79d1\u5b66\u7814\u7a76\u79d1\uff09<\/p>\n<p>\u7b2c45\u56de\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff082\u670818\u65e5\uff09<br \/>\n\u30fb\u6f14\u984c\uff1a\u65e5\u672c\u5217\u5cf6\u4eba\u306eDNA\u9032\u5316\uff1a\u305d\u306e\u904e\u53bb\u3068\u73fe\u5728<br \/>\n\u30fb\u8b1b\u5e2b\uff1a\u658e\u85e4\u6210\u4e5f\uff08\u56fd\u7acb\u907a\u4f1d\u5b66\u7814\u7a76\u6240\uff09<\/p>\n<p>\u7b2c46\u56de\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff082\u670821\u65e5\uff09<br \/>\n\u3010CBRC\u30df\u30cb\u30b7\u30ea\u30fc\u30ba\u3011<br \/>\n\u30fb\u6f14\u984c\uff1aAdapting classic statistical alignment to modern high-throughput DNA<br \/>\n\u30fb\u8b1b\u5e2b\uff1aMartin Frith\uff08\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240 \u751f\u547d\u60c5\u5831\u5de5\u5b66\u7814\u7a76\u30bb\u30f3\u30bf\u30fc\uff09<\/p>\n<p>\u7b2c47\u56de\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff082\u670828 \u65e5\uff09<br \/>\n\u3010CBRC\u30df\u30cb\u30b7\u30ea\u30fc\u30ba\u3011<br \/>\n\u30fb\u6f14\u984c\uff1aDiscovering Combinatorial Gene Interactions in High-Dimensional Data<br \/>\n\u30fb\u8b1b\u5e2b\uff1aDavid duVerle\uff08\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240 \u751f\u547d\u60c5\u5831\u5de5\u5b66\u7814\u7a76\u30bb\u30f3\u30bf\u30fc\uff09<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u7b2c26\u56de\u30a4\u30f3\u30b7\u30ea\u30b3\u30fb\u30e1\u30ac\u30d0\u30f3\u30af\u7814\u7a76\u4f1a\uff084\u670819\u65e5\uff09 \u30bf\u30a4\u30c8\u30eb\uff1aInformati &hellip; <a href=\"https:\/\/nagasakilab.csml.org\/ja\/insilico2013\">\u7d9a\u304d\u3092\u8aad\u3080 <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1165","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/nagasakilab.csml.org\/ja\/wp-json\/wp\/v2\/pages\/1165","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nagasakilab.csml.org\/ja\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/nagasakilab.csml.org\/ja\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/nagasakilab.csml.org\/ja\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/nagasakilab.csml.org\/ja\/wp-json\/wp\/v2\/comments?post=1165"}],"version-history":[{"count":64,"href":"https:\/\/nagasakilab.csml.org\/ja\/wp-json\/wp\/v2\/pages\/1165\/revisions"}],"predecessor-version":[{"id":3132,"href":"https:\/\/nagasakilab.csml.org\/ja\/wp-json\/wp\/v2\/pages\/1165\/revisions\/3132"}],"wp:attachment":[{"href":"https:\/\/nagasakilab.csml.org\/ja\/wp-json\/wp\/v2\/media?parent=1165"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}