{"id":132,"date":"2012-04-24T14:29:50","date_gmt":"2012-04-24T05:29:50","guid":{"rendered":"http:\/\/nagasakilab.csml.org\/ja\/?page_id=132"},"modified":"2026-02-02T17:02:09","modified_gmt":"2026-02-02T08:02:09","slug":"software","status":"publish","type":"page","link":"https:\/\/nagasakilab.csml.org\/ja\/software","title":{"rendered":"\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2"},"content":{"rendered":"

\u9577\u5d0e\u7814\u7a76\u5ba4\u3067\u72ec\u81ea\u958b\u767a\u3055\u308c\u305f\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u4e00\u89a7\u3067\u3059\u3002\u8a73\u7d30\u306f\u5404\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u306e\u30da\u30fc\u30b8\u3092\u3054\u53c2\u7167\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
JoGo<\/a>
<\/strong><\/td>\n		JoGo\uff08Joint Open Genome and Omics Platform\uff09\u306f\u3001\u30ed\u30f3\u30b0\u30ea\u30fc\u30c9\u30b7\u30fc\u30b1\u30f3\u30b9\u306b\u57fa\u3065\u304f\u300119,000\u4ee5\u4e0a\u306e\u30bf\u30f3\u30d1\u30af\u8cea\u30b3\u30fc\u30c9\u907a\u4f1d\u5b50\u3092\u7db2\u7f85\u3057\u305f\u30b0\u30ed\u30fc\u30d0\u30eb\u30fb\u30cf\u30d7\u30ed\u30bf\u30a4\u30d7\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3067\u3059\u3002\u983b\u5ea6\u9806\u306eACTG\u547d\u540d\u6cd5\u3092\u63a1\u7528\u3057\u3001ClinVar\u3001GWAS\u3001GTEx\u306a\u3069\u306e\u6a5f\u80fd\u60c5\u5831\u3068\u7d71\u5408\u3057\u3066\u3044\u307e\u3059\u3002Web\u304a\u3088\u3073\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u4fdd\u8b77\u578b\u30ed\u30fc\u30ab\u30eb\u74b0\u5883\u3067\u3001\u9ad8\u89e3\u50cf\u5ea6\u306a\u30cf\u30d7\u30ed\u30bf\u30a4\u30d7\u89e3\u6790\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n
JoGo-LILR Caller v1<\/strong><\/a><\/td>\nJoGo-LILR Caller\u306f\u3001\u8907\u96d1\u306aLILR\u9818\u57df\u3001\u7279\u306b\u591a\u69d8\u306a\u30b3\u30d4\u30fc\u6570\uff08CN\uff09\u30d1\u30bf\u30fc\u30f3\u3092\u3082\u3064 LILRB3\u2013LILRA6 \u9818\u57df\u306e\u30cf\u30d7\u30ed\u30bf\u30a4\u30d7\u69cb\u9020\u3092\u63a8\u5b9a\u3059\u308b\u305f\u3081\u306e\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3067\u3059\u3002\u30b7\u30e7\u30fc\u30c8\u30ea\u30fc\u30c9\u30b7\u30fc\u30b1\u30f3\u30b9\u30c7\u30fc\u30bf\u3092\u5165\u529b\u3068\u3057\u3066\u3001\u4e8c\u500d\u4f53\u306e\u30b3\u30d4\u30fc\u6570\uff08diploid CN\uff09\u304a\u3088\u3073\u63a8\u5b9a\u3055\u308c\u308b\u30cf\u30d7\u30ed\u30bf\u30a4\u30d7\u3092\u51fa\u529b\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n
JRG<\/a>
<\/strong><\/td>\n		\u65e5\u672c\u4eba\u57fa\u6e96\u30b2\u30ce\u30e0(Japanese Reference Genome) \u3067\u3059\u3002\u30d2\u30c8\u30b2\u30ce\u30e0\u306e\u6a19\u6e96\u914d\u5217\u3068\u3057\u3066\u4e00\u822c\u7684\u306b\u4f7f\u308f\u308c\u3066\u3044\u308bGRCh38\u306b\u3001\u65e5\u672c\u4eba\u30b2\u30ce\u30e0\u3067\u767a\u898b\u3055\u308c\u305f\u30a4\u30f3\u30b5\u30fc\u30b7\u30e7\u30f3\u914d\u5217\u3092\u633f\u5165\u3057\u305f\u914d\u5217\u3067\u3059\u3002\u65e5\u672c\u4eba\u306e\u30b2\u30ce\u30e0\u89e3\u6790\u3092\u884c\u306a\u3046\u969b\u306b\u6a19\u6e96\u914d\u5217\u3068\u3057\u3066\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/td>\n<\/tr>\n
Japonica Array<\/a>
<\/strong><\/td>\n		The Japonica array \u201d\u30b8\u30e3\u30dd\u30cb\u30ab\u30a2\u30ec\u30a4\u00ae\u201d is the first ever SNP array optimized for Japanese population. The aim of development of Japonica array is not only to facilitate the prospective genomic cohort study conducted by Tohoku Medical Megabank Organization (ToMMo) but also to make a contribution to the genomic medicine studies in Japan.<\/td>\n<\/tr>\n
iJGVD<\/a>
<\/strong><\/td>\n		iJGVD\u306f\u3001\u65e5\u672c\u4eba\u306e\u30b2\u30ce\u30e0\u591a\u578b\u306e\u983b\u5ea6\u60c5\u5831\u3092\u63d0\u4f9b\u3059\u308b\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3067\u3059\u3002 \u73fe\u5728\u306e\u30ea\u30ea\u30fc\u30b9\u3067\u306f\u3001\u5bae\u57ce\u770c\u306e1070\u4eba\u306e\u5168\u30b2\u30ce\u30e0\u89e3\u8aad\u3088\u308a\u5f97\u3089\u308c\u305fSNV\u306b\u3064\u3044\u3066\u3001 \u5e38\u67d3\u8272\u4f53\u4e0a\u306b\u3042\u308b\u65e2\u77e5\u306e\u3082\u306e\u3067\u3001\u983b\u5ea6\u304c5%\u3092\u8d85\u3048\u308b\u3082\u306e\u7d04430\u4e07\u4ef6\u3092\u516c\u958b\u3057\u3066\u3044\u307e\u3059\u3002<\/td>\n<\/tr>\n
HLA-VBseq<\/a>
<\/strong><\/td>\n		NGS\u30c7\u30fc\u30bf\u304b\u3089HLA\u578b\u3092\u9ad8\u7cbe\u5ea6\u306b\u30bf\u30a4\u30d4\u30f3\u30b0\u3059\u308b\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3067\u3059\u3002IMGT\/HLA\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u767b\u9332\u3055\u308c\u3066\u3044\u308b\u5168\u3066\u306eHLA\u30a2\u30ea\u30eb\u53c2\u7167\u914d\u5217\u306b\u5bfe\u3057\u3066\u3001\u30ea\u30fc\u30c9\u306e\u30a2\u30e9\u30a4\u30e1\u30f3\u30c8\u3092\u6700\u9069\u5316\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n
str-realigner<\/a>
<\/strong><\/td>\n		STR-realigner is a Java program that extracts and realigns sequence reads in input SAM\/BAM file around prespecified short tandem repeat regions. Realigned sequence reads are saved as SAM\/BAM format and used for variant calling with existing STR callers.<\/td>\n<\/tr>\n
TIGAR<\/a>
<\/strong><\/td>\n		RNA-Seq\u30c7\u30fc\u30bf\u304b\u3089\u5909\u5206\u30d9\u30a4\u30ba\u6cd5\u306b\u3088\u308a\u8ee2\u5199\u7523\u7269\u30a2\u30a4\u30bd\u30d5\u30a9\u30fc\u30e0\u306e\u5b9a\u91cf\u3092\u884c\u3046\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3067\u3059\u3002\u30ae\u30e3\u30c3\u30d7\u4ed8\u304d\u30a2\u30e9\u30a4\u30e1\u30f3\u30c8\u3092\u6271\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\u65e5\u672c\u8a9e\u89e3\u8aac\u8a18\u4e8b><\/a><\/td>\n<\/tr>\n
CoalescentSTR<\/strong><\/a>
<\/strong><\/td>\n		CoalescentSTR\u306f\u30cf\u30a4\u30b9\u30eb\u30fc\u30d7\u30c3\u30c8\u30b7\u30fc\u30af\u30a8\u30f3\u30b9\u30c7\u30fc\u30bf\u304b\u3089\u8907\u6570\u4eba\u306e\u30de\u30a4\u30af\u30ed\u30b5\u30c6\u30e9\u30a4\u30c8\u306b\u304a\u3051\u308b\u30ea\u30d4\u30fc\u30c8\u6570\u3092\u63a8\u5b9a\u3059\u308b\u305f\u3081\u306e\u624b\u6cd5\u3067\u3059\u3002Coalescent\u7406\u8ad6\u3092\u7528\u3044\u308b\u3053\u3068\u3067\u8907\u6570\u4eba\u306e\u30c7\u30fc\u30bf\u3092\u4e00\u3064\u306e\u7d71\u8a08\u30e2\u30c7\u30eb\u3068\u3057\u3066\u6271\u3046\u3053\u3068\u3092\u53ef\u80fd\u3068\u3057\u3001\u30ea\u30fc\u30c9\u9577\u3088\u308a\u30de\u30a4\u30af\u30ed\u30b5\u30c6\u30e9\u30a4\u30c8\u9818\u57df\u306b\u3064\u3044\u3066\u3082\u9ad8\u7cbe\u5ea6\u306b\u30ea\u30d4\u30fc\u30c8\u6570\u3092\u63a8\u5b9a\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/td>\n<\/tr>\n
HapMonster<\/strong><\/a>
<\/strong><\/td>\n		NGS\u30c7\u30fc\u30bf\u304b\u3089\u5909\u7570\u30b3\u30fc\u30eb\u3068\u30d5\u30a7\u30fc\u30b8\u30f3\u30b0\u3092\u540c\u6642\u306b\u884c\u3046\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3067\u3059\u3002\u8907\u6570\u306e\u30d8\u30c6\u30ed\u63a5\u5408\u30b5\u30a4\u30c8\u3092\u307e\u305f\u3050phase-informative read\u3092\u7528\u3044\u3066\u30d5\u30a7\u30fc\u30b8\u30f3\u30b0\u3092\u884c\u3044\u307e\u3059\u3002<\/td>\n<\/tr>\n
SUGAR<\/a>
<\/strong><\/td>\n		NGS\u306e\u5927\u91cfDNA\u30b7\u30fc\u30af\u30a8\u30f3\u30b7\u30f3\u30b0\u30c7\u30fc\u30bf\u306e\u30af\u30aa\u30ea\u30c6\u30a3\u8a55\u4fa1\u3068\u30c7\u30fc\u30bf\u30af\u30ea\u30fc\u30cb\u30f3\u30b0\u3092\u884c\u3046Java GUI\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3067\u3059\u3002
Illumina HiSeq, MiSeq, GA\u30b7\u30ea\u30fc\u30ba\u306e\u30c7\u30fc\u30bf\u51e6\u7406\u306b\u5bfe\u5fdc\u3057\u3066\u3044\u307e\u3059\u3002<\u65e5\u672c\u8a9e\u89e3\u8aac\u8a18\u4e8b><\/a><\/td>\n<\/tr>\n
iSVP<\/a><\/strong><\/td>\niSVP \u306f\u3001NGS \u30c7\u30fc\u30bf\u304b\u3089\u69cb\u9020\u5909\u7570\u3092\u691c\u51fa\u3059\u308b\u8907\u6570\u306e\u30c4\u30fc\u30eb\u3092\u4e26\u5217\u306b\u9069\u7528\u3057\u3001\u7d50\u679c\u3092\u7d71\u5408\u3059\u308b\u30d1\u30a4\u30d7\u30e9\u30a4\u30f3\u3067\u3059\u3002\u73fe\u5728\u306f\u6b20\u5931\u5909\u7570\u306b\u5bfe\u5fdc\u3057\u3066\u304a\u308a\u3001\u5909\u7570\u306e\u5927\u304d\u3055\u306b\u3088\u3063\u3066\u7570\u306a\u308b\u5404\u30c4\u30fc\u30eb\u306e\u4e88\u6e2c\u7cbe\u5ea6\u3092\u8003\u616e\u3057\u3066\u7d71\u5408\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n
CNValloc<\/a><\/strong><\/td>\nCNValloc\u306f\u3001\u96c6\u56e3\u306eNGS \u30c7\u30fc\u30bf\u3092\u7528\u3044\u3066\u3001CNV\u7b87\u6240\u306b\u5b58\u5728\u3059\u308b\u30a2\u30ec\u30eb\u306e\u914d\u5217\u3068\u3001\u30b5\u30f3\u30d7\u30eb\u306e\u6301\u3064\u30a2\u30ec\u30eb\u306e\u30b3\u30d4\u30fc\u6570\u3092\u540c\u6642\u63a8\u5b9a\u3059\u308b\u30d7\u30ed\u30b0\u30e9\u30e0\u3067\u3059\u3002\u63a8\u5b9a\u306e\u5404\u30b9\u30c6\u30c3\u30d7\u306e\u8a08\u7b97\u91cf\u306f\u30b5\u30f3\u30d7\u30eb\u6570\u3001\u4eee\u5b9a\u3059\u308b\u30a2\u30ec\u30eb\u6570\u306b\u7dda\u5f62\u4f9d\u5b58\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n
ClipCrop<\/a>
<\/strong><\/td>\n		NGS \u30c7\u30fc\u30bf\u304b\u3089\u30bd\u30d5\u30c8\u30af\u30ea\u30c3\u30d7\u60c5\u5831\u3092\u7528\u3044\u3066\u69cb\u9020\u5909\u7570\u3092\u691c\u51fa\u3059\u308b\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3067\u3059\u3002<\/td>\n<\/tr>\n
Cell Illustrator<\/a>
<\/strong><\/td>\n		\u7d30\u80de\u5185\u30b7\u30b9\u30c6\u30e0\u306e\u8a18\u8ff0\u30fb\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u53ef\u80fd\u306b\u3059\u308b\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3067\u3059\u3002Petri net\u3092\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u30a8\u30f3\u30b8\u30f3\u306b\u7528\u3044\u3066\u3044\u307e\u3059\u3002<\/td>\n<\/tr>\n
XiP<\/a>
<\/strong><\/td>\n		\u30b7\u30b9\u30c6\u30e0\u751f\u7269\u5b66\u3067\u6271\u308f\u308c\u308b\u69d8\u3005\u306a\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u63a8\u5b9a\u30fb\u53ef\u8996\u5316\u306a\u3069\u89e3\u6790\u306e\u30d5\u30ed\u30fc\u3092GUI\u4e0a\u3067\u7ba1\u7406\u30fb\u5b9f\u884c\u3059\u308b\u305f\u3081\u306e\u7d71\u5408\u89e3\u6790\u74b0\u5883\u3067\u3059\u3002<\/td>\n<\/tr>\n
Cell System Markup Language \/ Cell System Ontology<\/a>
<\/strong><\/td>\n		\u7d30\u80de\u5185\u30b7\u30b9\u30c6\u30e0\u306e\u8a18\u8ff0\u306e\u305f\u3081\u306e\u8a00\u8a9e\u30fb\u30aa\u30f3\u30c8\u30ed\u30b8\u30fc\u3067\u3059\u3002Cell Illustrator\u306b\u5229\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n

<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

\u9577\u5d0e\u7814\u7a76\u5ba4\u3067\u72ec\u81ea\u958b\u767a\u3055\u308c\u305f\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u4e00\u89a7\u3067\u3059\u3002\u8a73\u7d30\u306f\u5404\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u306e\u30da\u30fc\u30b8\u3092\u3054 … \u7d9a\u304d\u3092\u8aad\u3080 →<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-132","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/nagasakilab.csml.org\/ja\/wp-json\/wp\/v2\/pages\/132","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=132"}],"version-history":[{"count":68,"href":"https:\/\/nagasakilab.csml.org\/ja\/wp-json\/wp\/v2\/pages\/132\/revisions"}],"predecessor-version":[{"id":6613,"href":"https:\/\/nagasakilab.csml.org\/ja\/wp-json\/wp\/v2\/pages\/132\/revisions\/6613"}],"wp:attachment":[{"href":"https:\/\/nagasakilab.csml.org\/ja\/wp-json\/wp\/v2\/media?parent=132"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}