{"id":2288,"date":"2017-07-07T12:23:36","date_gmt":"2017-07-07T12:23:36","guid":{"rendered":"https:\/\/www.kolabtree.com\/blog\/?p=2288"},"modified":"2020-02-10T14:12:18","modified_gmt":"2020-02-10T14:12:18","slug":"4-recent-advances-in-computational-biology","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/ja\/4-recent-advances-in-computational-biology\/","title":{"rendered":"4 \u8a08\u7b97\u751f\u7269\u5b66\u306e\u6700\u8fd1\u306e\u9032\u6b69"},"content":{"rendered":"

\u8a08\u7b97\u751f\u7269\u5b66<\/a> \u306f\u3001\u65b0\u3057\u3044\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u306e\u51fa\u73fe\u306b\u3088\u308a\u3001\u7279\u306b\u30c7\u30fc\u30bf\u306e\u53ce\u96c6\u3001\u5206\u6790\u3001\u53ef\u8996\u5316\u306e\u65b9\u6cd5\u306b\u304a\u3044\u3066\u3001\u6025\u901f\u306b\u9032\u5316\u3057\u3066\u3044\u307e\u3059\u3002\u30e9\u30b4\u30b5\u30de\u30f3\u30fb\u30a4\u30a7\u30f3\u30de\u30ea\u535a\u58eb\u304c \u30b3\u30e9\u30d6\u30c4\u30ea\u30fc<\/a> \u30d5\u30ea\u30fc\u30e9\u30f3\u30b9\u306e\u79d1\u5b66\u8005\u304c\u30014\u3064\u306e\u6709\u671b\u306a\u9032\u6b69\u3092\u691c\u8a3c\u3057\u307e\u3059\u3002\u00a0\u00a0<\/em><\/p>\n

\u3092\u30d5\u30a9\u30ed\u30fc\u30a2\u30c3\u30d7\u3057\u3066\u3044\u307e\u3059\u3002 \u524d\u7d39\u4ecb\u8a18\u4e8b<\/a>\u3053\u3053\u3067\u306f\u3001\u8a08\u7b97\u751f\u7269\u5b66\u3092\u5927\u304d\u304f\u5909\u3048\u3064\u3064\u3042\u308b\u751f\u7269\u79d1\u5b66\u306e\u6700\u8fd1\u306e\u50be\u5411\u3084\u9032\u6b69\u306b\u7126\u70b9\u3092\u5f53\u3066 \u307e\u3059\u3002\u3053\u308c\u3089\u306e\u9032\u6b69\u306f\u3001\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u89e3\u6790\u3001\u30de\u30eb\u30c1\u30b9\u30b1\u30fc\u30eb\u30e2\u30c7\u30ea\u30f3\u30b0\u306a\u3069\u3001\u8a08\u7b97\u6a5f\u30c4\u30fc\u30eb\u3084\u624b\u6cd5\u306b\u5927\u304d\u304f\u4f9d\u5b58\u3057\u3066\u3044\u307e\u3059\u3002\u305d\u306e\u3044\u304f\u3064\u304b\u3092\u4ee5\u4e0b\u306b\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n

1.\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf<\/strong><\/p>\n

\u3053\u308c\u306f\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u3067\u306f\u3088\u304f\u77e5\u3089\u308c\u305f\u7528\u8a9e\u3067\u3001\u751f\u7269\u5b66\u8005\u306b\u53d6\u308a\u4e0a\u3052\u3089\u308c\u305f\u306e\u306f\u3054\u304f\u6700\u8fd1\u306e\u3053\u3068\u3067\u3042\u308b\u3002\u6b21\u4e16\u4ee3\u30b7\u30fc\u30b1\u30f3\u30b5\u30fc\u6280\u8853\u306e\u304a\u304b\u3052\u3067\u3001\u30b2\u30ce\u30e0\u306e\u914d\u5217\u306f\u6bd4\u8f03\u7684\u77ed\u6642\u9593\u3067\u5f97\u3089\u308c\u308b\u3088\u3046\u306b\u306a\u3063\u305f\u3002\u4f8b\u3048\u3070\u3001\u30e1\u30bf\u30b2\u30ce\u30e0\u3084\u30de\u30a4\u30af\u30ed\u30d0\u30a4\u30aa\u30fc\u30e0\u306a\u3069\u306e\u30c7\u30fc\u30bf\u3092\u6271\u3046\u5834\u5408\u3001\u30c7\u30fc\u30bf\u3092\u8fc5\u901f\u306b\u751f\u6210\u3059\u308b\u3053\u3068\u306e\u610f\u7fa9\u306f\u5927\u304d\u304f\u306a\u308a\u307e\u3059\u3002\u30c7\u30fc\u30bf\u306e\u7ba1\u7406\u306f\u3069\u3046\u3059\u308c\u3070\u3044\u3044\u306e\u304b\uff1f\u9577\u671f\u9593\u306e\u4fdd\u5b58\u306f\uff1f\u3053\u306e\u3088\u3046\u306a\u81a8\u5927\u306a\u30c7\u30fc\u30bf\u3092\u89e3\u6790\u3059\u308b\u305f\u3081\u306e\u30c4\u30fc\u30eb\u306f\uff1f\u3053\u306e\u3088\u3046\u306a\u7591\u554f\u304c\u751f\u3058\u307e\u3059\u304c\u3001\u3053\u308c\u306b\u306f\u7b54\u3048\u304c\u3042\u308a\u307e\u3059\u3002\u524d\u8ff0\u306e\u3088\u3046\u306b\u3001\u3053\u308c\u306f\u751f\u7269\u5b66\u306b\u304a\u3051\u308b\u6700\u8fd1\u306e\u50be\u5411\u3067\u3059\u304c\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u3084\u5b9f\u9a13\u7269\u7406\u5b66\u3067\u306f\u3001\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u306e\u53d6\u308a\u6271\u3044\u3084\u89e3\u6790\u306f\u65e5\u5e38\u7684\u306a\u4ed5\u4e8b\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n

\"big-data-1667184_1280\"
\nOne particular instance where \u30ea\u30b5\u30fc\u30c1<\/a> is happening is in the file formats of biological big data. In the case of protein structure file format, the current standard is the .pdb format, a column dependent format that is parseable and both human and machine readable. However, this format fails when describing mega structures, such as the ribosome or full viral capsids. Hence, a new format has been proposed called the .pdbx format that overcomes the previous format’s limitations. There is also another format called MMTF format that spees up the loading time for structures with more then 20 million atoms within seconds.<\/p>\n

\u8a08\u7b97\u6a5f\u306b\u304a\u3051\u308b\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u306b\u95a2\u3059\u308b\u305d\u306e\u4ed6\u306e\u8aad\u307f\u7269 \u69cb\u9020\u751f\u7269\u5b66<\/a>:
\nhttp:\/\/science.sciencemag.org\/content\/355\/6322\/248
\n<\/a><\/p>\n

2.\u30af\u30e9\u30a4\u30aa\u96fb\u5b50\u9855\u5fae\u93e1\u3068XFEL\u6280\u8853<\/strong><\/p>\n

\u3053\u306e2\u3064\u306e\u65b9\u6cd5\u306f\u3001\u305d\u308c\u81ea\u4f53\u306f\u65b0\u3057\u3044\u3082\u306e\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002\u3057\u304b\u3057\u3001\u3053\u306e2\u3064\u306e\u5206\u91ce\u3067\u8d77\u304d\u3066\u3044\u308b\u73fe\u5728\u306e\u6280\u8853\u3084\u9032\u6b69\u306f\u3001\u751f\u4f53\u5206\u5b50\u69cb\u9020\u306e\u89e3\u6790\u306e\u9650\u754c\u3092\u8d85\u3048\u3064\u3064\u3042\u308a\u307e\u3059\u3002 \u30af\u30e9\u30a4\u30aa\u96fb\u5b50\u9855\u5fae\u93e1 <\/a>\u306f\u3001\u96fb\u5b50\u9855\u5fae\u93e1\u3092\u4f7f\u3063\u3066\u751f\u4f53\u5206\u5b50\u306e3\u6b21\u5143\u69cb\u9020\u3092\u9ad8\u89e3\u50cf\u5ea6\u3067\u3068\u3089\u3048\u308b\u6280\u8853\u3067\u3042\u308b\u3002NIH\u306e\u5148\u99c6\u7684\u306a\u7814\u7a76\u5ba4\u3067\u306f\u30012.5\u00c5\u306e\u69cb\u9020\u304c\u89e3\u304b\u308c\u305f\u3053\u3068\u304c\u3042\u308b\u3002\u3053\u306e\u5206\u89e3\u80fd\u306f\u901a\u5e38\u3001\u30bf\u30f3\u30d1\u30af\u8cea\u306e\u7d50\u6676\u69cb\u9020\u3067\u5f97\u3089\u308c\u308b\u3082\u306e\u3067\u3001X\u7dda\u30d3\u30fc\u30e0\u3092\u7167\u5c04\u3059\u308b\u6700\u9069\u306a\u7d50\u6676\u3092\u6a19\u6e96\u5316\u3059\u308b\u306e\u306b\u5c11\u306a\u304f\u3068\u30821\u301c2\u30f6\u6708\u306e\u6642\u9593\u3092\u8981\u3059\u308b\u306e\u304c\u901a\u4f8b\u3067\u3042\u308b\u3002<\/p>\n

\"ALAT2-872522_1920\"
\n\u3053\u308c\u306b\u5bfe\u3057\u3066\u3001\u69cb\u9020\u751f\u7269\u5b66\u306b\u9769\u547d\u3092\u3082\u305f\u3089\u3059\u6700\u8fd1\u306e\u6280\u8853\u306f XFEL<\/a> \u3053\u308c\u306f\u3001\u30bf\u30f3\u30d1\u30af\u8cea\u306e\u5fae\u7d50\u6676\u306b\u9ad8\u5f37\u5ea6\u306eX\u7dda\u3092\u7167\u5c04\u3059\u308b\u65b9\u6cd5\u3067\u3059\u3002\u9ad8\u653e\u5c04\u80fd\u306e\u305f\u3081\u3001\u5fae\u5c0f\u7d50\u6676\u306f\u6587\u5b57\u901a\u308a\u713c\u304b\u308c\u3066\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3059\u308b\u3002\u5341\u5206\u306a\u5e83\u3055\u306e\u30c7\u30fc\u30bf\u3092\u5f97\u308b\u305f\u3081\u306b\u306f\u3001\u4f55\u4e07\u500b\u3082\u306e\u5fae\u5c0f\u7d50\u6676\u304c\u5fc5\u8981\u3067\u3059\u3002\u307e\u305f\u3001\u5fae\u5c0f\u7d50\u6676\u304b\u3089\u5f97\u3089\u308c\u305f\u753b\u50cf\u306f\u3001\u4ed6\u306e\u753b\u50cf\u3068\u5408\u308f\u305b\u3066\u89e3\u6790\u3057\u3001\u751f\u4f53\u5206\u5b50\u306e\u7acb\u4f53\u69cb\u9020\u3092\u628a\u63e1\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u3002<\/p>\n

\u3053\u306e\u3088\u3046\u306a\u6280\u8853\u306f\u3001\u5468\u56f2\u306e\u30ce\u30a4\u30ba\u304b\u3089\u4fe1\u53f7\u3092\u8b58\u5225\u3059\u308b\u305f\u3081\u306b\u3001\u753b\u50cf\u51e6\u7406\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3084\u3042\u308b\u7a0b\u5ea6\u306e\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u4f7f\u7528\u3059\u308b\u81ea\u52d5\u5316\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u306b\u5927\u304d\u304f\u4f9d\u5b58\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u306e<\/span>\u00a0\u306f\u3001\u60c5\u5831\u306e\u591a\u69d8\u6027\u3068\u53d6\u5f97\u901f\u5ea6\u304c\u5929\u6587\u5b66\u7684\u3067\u3042\u308b\u305f\u3081\u3001\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u3067\u3042\u308b\u3068\u8a00\u3048\u307e\u3059\u3002<\/span><\/p>\n

3.\u30de\u30eb\u30c1\u30b9\u30b1\u30fc\u30eb\u30e2\u30c7\u30ea\u30f3\u30b0<\/strong><\/p>\n

\u5358\u4e00\u751f\u4f53\u5206\u5b50\u69cb\u9020\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u3084\u3088\u308a\u8907\u96d1\u306a\u7cfb\u3078\u306e\u5916\u633f\u3068\u306f\u7570\u306a\u308a\u3001\u30de\u30eb\u30c1\u30b9\u30b1\u30fc\u30eb\u30e2\u30c7\u30ea\u30f3\u30b0\u306f20\u4e07\u4ee5\u4e0a\u306e\u539f\u5b50\u3092\u542b\u307f\u3001\u5f97\u3089\u308c\u305f\u30c0\u30a4\u30ca\u30df\u30af\u30b9\u306f\u8907\u6570\u306e\u6210\u5206\uff08\u540c\u7a2e\u307e\u305f\u306f\u7570\u7a2e\uff09\u306e\u9577\u3044\u6642\u9593\u7bc4\u56f2\u306e\u76f8\u4e92\u4f5c\u7528\u3068\u8907\u96d1\u306a\u6319\u52d5\u3092\u660e\u3089\u304b\u306b\u3057\u307e\u3059\u3002\u3053\u306e\u3088\u3046\u306a\u5b9f\u9a13\u304b\u3089\u751f\u6210\u3055\u308c\u308b\u30c7\u30fc\u30bf\u306f\u3001\u5f97\u3089\u308c\u308b\u30c7\u30fc\u30bf\u30dd\u30a4\u30f3\u30c8\u306e\u6570\u3001\u307e\u305f\u7d71\u8a08\u7684\u306a\u6709\u610f\u6027\u3092\u5f97\u308b\u305f\u3081\u306e\u8907\u6570\u56de\u306e\u5b9f\u884c\u306b\u3088\u308a\u3001\u81a8\u5927\u306a\u91cf\u3068\u306a\u308a\u307e\u3059\u3002<\/p>\n

\u30de\u30eb\u30c1\u30b9\u30b1\u30fc\u30eb\u30e2\u30c7\u30ea\u30f3\u30b0\u304c\u4f7f\u308f\u308c\u305f\u4f8b\u3068\u3057\u3066\u3001\u30bb\u30eb\u30ed\u30fc\u30b9\u306b\u4ed8\u7740\u3059\u308b\u7570\u7a2e\u30bf\u30f3\u30d1\u30af\u8cea\u3068\u9175\u7d20\u304b\u3089\u306a\u308b\u30d0\u30af\u30c6\u30ea\u30a2\u306e\u8907\u5408\u69cb\u9020\u4f53\u3067\u3042\u308b\u30bb\u30eb\u30ed\u30bd\u30fc\u30e0\u306e\u30c0\u30a4\u30a2\u30cb\u30ba\u30e0\u3092\u7406\u89e3\u3059\u308b\u3053\u3068\u304c\u6319\u3052\u3089\u308c\u307e\u3059\u3002\u30bb\u30eb\u30ed\u30bd\u30fc\u30e0\u306f\u3001\u30d0\u30a4\u30aa\u71c3\u6599\u306e\u5206\u91ce\u3001\u7279\u306b\u30d0\u30a4\u30aa\u30a8\u30bf\u30ce\u30fc\u30eb\u751f\u7523\u306b\u304a\u3044\u3066\u5de5\u696d\u7684\u306b\u91cd\u8981\u3067\u3042\u308b\u3002<\/p>\n

\u3055\u3089\u306b\u8aad\u3080\u00a0http:\/\/www.ks.uiuc.edu\/Research\/biofuels\/<\/a><\/p>\n

4.\u30b7\u30f3\u30b0\u30eb\u30bb\u30eb\u30b7\u30fc\u30b1\u30f3\u30b9<\/strong><\/p>\n

\u8907\u6570\u306e\u7d30\u80de\u3092\u898b\u308b\u306e\u3067\u306f\u306a\u304f\u3001\u500b\u3005\u306e\u7d30\u80de\u3092\u5206\u96e2\u3057\u3066RNA\u3092\u62bd\u51fa\u3057\u3001\u305d\u306e\u914d\u5217\u3092\u6c7a\u5b9a\u3059\u308b\u306e\u304c\u6700\u65b0\u306e\u6280\u8853\u3067\u3059\u3002\u3053\u306e\u6700\u65b0\u306e\u6280\u8853\u306f\u3001\u6b21\u306e\u3088\u3046\u306b\u547c\u3070\u308c\u3066\u3044\u307e\u3059\u3002 \u30b7\u30f3\u30b0\u30eb\u30bb\u30ebRNA\u30b7\u30fc\u30b1\u30f3\u30b7\u30f3\u30b0\u307e\u305f\u306fscRNA-seq<\/a>.\u3053\u306eNature\u306e\u8ad6\u6587\u3067\u306f\u3001\u3053\u306e\u65b9\u6cd5\u3068\u305d\u306e\u5229\u70b9\u306b\u3064\u3044\u3066\u3001\u6b21\u306e\u3088\u3046\u306b\u8a00\u53ca\u3057\u3066\u3044\u308b\u3002<\/p>\n

\u500b\u3005\u306e\u7d30\u80de\u3092\u64cd\u4f5c\u3059\u308b\u306e\u306f\u5927\u304d\u306a\u96c6\u56e3\u3088\u308a\u3082\u306f\u308b\u304b\u306b\u96e3\u3057\u304f\u3001\u307e\u305f\u3001\u305d\u308c\u305e\u308c\u306e\u7d30\u80de\u304b\u3089\u5f97\u3089\u308c\u308bRNA\u306f\u3054\u304f\u308f\u305a\u304b\u3067\u3042\u308b\u305f\u3081\u3001\u5931\u6557\u306f\u8a31\u3055\u308c\u306a\u3044\u306e\u3060\u3002\u307e\u305f\u3001\u81a8\u5927\u306a\u91cf\u306e\u30c7\u30fc\u30bf\u3092\u5206\u6790\u3059\u308b\u3053\u3068\u3082\u554f\u984c\u3067\u3059\u3002\u7279\u306b\u3001\u4f7f\u7528\u3059\u308b\u30c4\u30fc\u30eb\u304c\u76f4\u611f\u7684\u3067\u306a\u3044\u3053\u3068\u304c\u539f\u56e0\u3067\u3059\u3002<\/p><\/blockquote>\n

scRNA-seq\u306e\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u3068\u30c4\u30fc\u30eb\u306b\u95a2\u3059\u308b\u512a\u308c\u305f\u30ec\u30d3\u30e5\u30fc\u304c\u3053\u3053\u306b\u63b2\u8f09\u3055\u308c\u3066\u3044\u307e\u3059\u3002 https:\/\/doi.org\/10.3389\/fgene.2016.00163<\/span><\/a><\/p>\n

\n

\u304b\u3089\u306e\u76f8\u8ac7\u306b\u4e57\u3063\u3066\u307b\u3057\u3044\u3002 \u8a08\u7b97\u6a5f\u751f\u7269\u5b66\u8005<\/a>?\u3092\u96c7\u3046\u3002 \u30d5\u30ea\u30fc\u30e9\u30f3\u30b9\u30fb\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u30fb\u30d0\u30a4\u30aa\u30ed\u30b8\u30fc<\/a> \u30a8\u30ad\u30b9\u30d1\u30fc\u30c8<\/b>\u00a0\u3092Kolabtree\u306b\u63b2\u8f09\u3057\u307e\u3057\u305f\u3002\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3092\u6295\u7a3f\u3057\u3066\u3001\u898b\u7a4d\u3082\u308a\u3092\u3082\u3089\u3046\u306e\u306f\u7121\u6599\u3067\u3059\u3002<\/b><\/p>\n

Yennamalli\u535a\u58eb\u306b\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u76f8\u8ac7\u3092\u3057\u305f\u3044\u3067\u3059\u304b\uff1fKolabtree\u3067\u5f7c\u3068\u9023\u7d61\u3092\u53d6\u3063\u3066\u304f\u3060\u3055\u3044\u3002 \u3053\u308c<\/a>.<\/p>\n

\u95a2\u9023\u3059\u308b\u5c02\u9580\u5bb6
\n\u30d0\u30a4\u30aa\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30b7\u30e3\u30f3\u306e\u63a1\u7528<\/a>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u5206\u5b50\u751f\u7269\u5b66\u8005\u306e\u63a1\u7528\u00a0<\/a> \u00a0 \u00a0 \u30d0\u30a4\u30aa\u30b9\u30bf\u30c6\u30a3\u30b7\u30e3\u30f3\u306e\u63a1\u7528<\/a><\/p>","protected":false},"excerpt":{"rendered":"

Computational biology is rapidly evolving with the advent of new technologies, especially in the way we collect, analyze and visualize data. Dr. Ragothaman Yennmalli, a Kolabtree freelancer and scientist, examines four promising advances.\u00a0\u00a0 Following up on the previous introductory post, here I will highlight some of the recent trends or recent advances in the biological sciences that are transforming computational biology. These advances rely heavily on computational tools and methods — big data analysis, multiscale modelling, etc. Some of them are listed below. 1. Big Data This is a well known term in computer science and has been picked by biologists only recently. Thanks to the next generation sequencing techniques,<\/p>\n

\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/div>","protected":false},"author":26,"featured_media":2324,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[442,398,247,435],"tags":[],"acf":[],"yoast_head":"\nComputational biology: 4 recent advances - Kolabtree Blog<\/title>\n<meta name=\"description\" content=\"Recent advances in computational biology that are changing the way we look at genomic data, structural biology and RNA sequencing.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.kolabtree.com\/blog\/ja\/4-recent-advances-in-computational-biology\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"4 Recent Advances in Computational Biology\" \/>\n<meta property=\"og:description\" content=\"Recent advances in computational biology that are changing the way we look at genomic data, structural biology and RNA sequencing.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.kolabtree.com\/blog\/ja\/4-recent-advances-in-computational-biology\/\" \/>\n<meta property=\"og:site_name\" content=\"The Kolabtree Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/kolabtree\" \/>\n<meta property=\"article:published_time\" content=\"2017-07-07T12:23:36+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2020-02-10T14:12:18+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2017\/07\/alat2-872522_1920.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1920\" \/>\n\t<meta property=\"og:image:height\" content=\"745\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Ragothaman Yennamalli\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@kolabtree\" \/>\n<meta name=\"twitter:site\" content=\"@kolabtree\" \/>\n<meta name=\"twitter:label1\" content=\"\u57f7\u7b46\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"Ragothaman Yennamalli\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593\" \/>\n\t<meta name=\"twitter:data2\" content=\"4\u5206\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Computational biology: 4 recent advances - 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