OpenScientificCodeRegistry/Database
Open Scientific Code Registry (OSCR): the authors' scripts The code published by the authors of open-access neuroscience papers, as found and verified by Open Scientific Code Registry (OSCR). Each file is here exactly as it is at the source, at the verified commit, under the license of its repository. 421,275 unique files (3,782 MB of text) from 8,849 repositories, in 24 Parquet block(s). Only files whose repository's license allows redistribution, confirmed by the repository's… See the full description on the dataset page: https://huggingface.co/datasets/OpenScientificCodeRegistry/Database.
05.6k
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/michalizydo/scont",4 "url": "https://github.com/michalizydo/scONT",5 "host": "github.com",6 "commit": "43adf6a08dcce0f5df22ce5b0f12abc72f1c3d06",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11 {12 "path": "LICENSE",13 "sha256": "a5c8ef53c01b5f678aac6b99915fe96d19191d61f0f42e1305f25664ffd67d92",14 "language": "License",15 "lines": 21,16 "truncated": false,17 "block": 14,18 "row": 1702719 },20 {21 "path": "MD_1SA5pp.py",22 "sha256": "f3781a7232b32480c614147787235e17e5897eedcde8b5c94a37309f8f3a699a",23 "language": "Python",24 "lines": 79,25 "truncated": false,26 "block": 15,27 "row": 1127128 },29 {30 "path": "README.md",31 "sha256": "2b98d48e140713f1b7d3848bc44c9864c2ec6ba7f359b2002f37ad2573df33c3",32 "language": "Text",33 "lines": 144,34 "truncated": false,35 "block": 16,36 "row": 768537 },38 {39 "path": "SNVsup.py",40 "sha256": "4ac5a2e9d109147e636b6f3475b5235702052f408f200db4e370590c989d326a",41 "language": "Python",42 "lines": 8,43 "truncated": false,44 "block": 15,45 "row": 614046 },47 {48 "path": "alulineins.py",49 "sha256": "2a1fe711400b3f079d58fffb26679e6ea738fe12e932e7581eebae449a313f27",50 "language": "Python",51 "lines": 297,52 "truncated": false,53 "block": 15,54 "row": 2341555 },56 {57 "path": "bar_coverage.py",58 "sha256": "3b6318913aeb22137e0435ab6af4dd94722467cf8e56a63e8767a35b8b92a5b0",59 "language": "Python",60 "lines": 84,61 "truncated": false,62 "block": 15,63 "row": 1370264 },65 {66 "path": "calcstat_blood.py",67 "sha256": "7b857517d8aa41fe966b09ac2081da051ef956d15c1e7970e52690685b02b16c",68 "language": "Python",69 "lines": 84,70 "truncated": false,71 "block": 15,72 "row": 1301073 },74 {75 "path": "chart_violin.py",76 "sha256": "5bbddcf16680af333f57596204ab5eb2a9535f2ffa15c63aaee2d43ceb26b597",77 "language": "Python",78 "lines": 80,79 "truncated": false,80 "block": 15,81 "row": 997882 },83 {84 "path": "checkAluLine.py",85 "sha256": "5183d21a88b5b080219175b6183e7a8a7091cb23d1857590f812682c0e6dcb0c",86 "language": "Python",87 "lines": 28,88 "truncated": false,89 "block": 15,90 "row": 718891 },92 {93 "path": "clair3-run.sh",94 "sha256": "b37165c77f3bb8fa2feb8a00bc9e320f5929e695cdad7c80601459909022121e",95 "language": "Shell",96 "lines": 14,97 "truncated": false,98 "block": 16,99 "row": 5481100 },101 {102 "path": "compareindels.py",103 "sha256": "807a55f9f8cc9a2ef881af61308f589cb125828a7c27c45bd613f86c515c0172",104 "language": "Python",105 "lines": 119,106 "truncated": false,107 "block": 15,108 "row": 18149109 },110 {111 "path": "countTEs.py",112 "sha256": "0384c780c150f07b62646e55ea0ac4c9682abe0b5419464dc0cdcd29deb4f5a9",113 "language": "Python",114 "lines": 27,115 "truncated": false,116 "block": 15,117 "row": 7421118 },119 {120 "path": "countV.py",121 "sha256": "18a5eef112fce67c44d07181d327cd8703cbf8770fcf325f35bcfcca4287f90b",122 "language": "Python",123 "lines": 28,124 "truncated": false,125 "block": 15,126 "row": 7494127 },128 {129 "path": "countcoveragebreadth.py",130 "sha256": "feccedb0399a0862dccdc524bdde6491d2640929b0fa126cd100e7d4f8a6d437",131 "language": "Python",132 "lines": 28,133 "truncated": false,134 "block": 15,135 "row": 7663136 },137 {138 "path": "deletionsTE.py",139 "sha256": "6e74dd7567a366d6fef31bc4acf2c531e5264da056fae8a0a7a4c17bd81030e2",140 "language": "Python",141 "lines": 246,142 "truncated": false,143 "block": 15,144 "row": 22526145 },146 {147 "path": "density_scatter_grey.py",148 "sha256": "58d0a771bc191dc4f2e4837d129754e09c461867353635770b150665eaceeb55",149 "language": "Python",150 "lines": 61,151 "truncated": false,152 "block": 15,153 "row": 25313154 },155 {156 "path": "filter80.py",157 "sha256": "dba83313a74848a530b36b86f77e47fb91cf16ec4153f5f790f44e9d59a428fa",158 "language": "Python",159 "lines": 18,160 "truncated": false,161 "block": 15,162 "row": 6740163 },164 {165 "path": "filterIndelSub.py",166 "sha256": "1a285b60b8aac394a4825fdd01f183cac349b69730cbbb4fa87d583ab6afcf09",167 "language": "Python",168 "lines": 13,169 "truncated": false,170 "block": 15,171 "row": 6236172 },173 {174 "path": "filterSNV.py",175 "sha256": "b137e931d627803d8974cc94d5efca9d6e4274fc1b53c21c30fc5b578b1a3849",176 "language": "Python",177 "lines": 104,178 "truncated": false,179 "block": 15,180 "row": 13106181 },182 {183 "path": "filterSNVgeneMSA.py",184 "sha256": "c143d685033e0ad880dd1397dff1c7ba1d1b0e913fc42ea0995350c7f64abd5b",185 "language": "Python",186 "lines": 129,187 "truncated": false,188 "block": 15,189 "row": 15398190 },191 {192 "path": "filterSTIX.py",193 "sha256": "71bdec5062f31b5f826148b11533fe8d1436562d70b37969b3e43adb10b2336f",194 "language": "Python",195 "lines": 26,196 "truncated": false,197 "block": 15,198 "row": 7622199 },200 {201 "path": "filterSVmerge.py",202 "sha256": "94896bb5639d329c83a0497511c40c32b4aa9e1780d3df3d679cd145e6906541",203 "language": "Python",204 "lines": 76,205 "truncated": false,206 "block": 15,207 "row": 11011208 },209 {210 "path": "filterill.py",211 "sha256": "e32d7b27e9e58091f4fe9b94d0daa61806162e59280a58b68e18612d1d7bc265",212 "language": "Python",213 "lines": 9,214 "truncated": false,215 "block": 15,216 "row": 6123217 },218 {219 "path": "filterindelSV.py",220 "sha256": "e0e5ead9811ec013c606d837991c6656a2d69f838331d051baf4b77de19fea93",221 "language": "Python",222 "lines": 24,223 "truncated": false,224 "block": 15,225 "row": 7303226 },227 {228 "path": "filtersupcov_blood.py",229 "sha256": "1dd110a297babbca7bcb7e31288acd83c66de2ae333b4a7589f692dd42f94fe2",230 "language": "Python",231 "lines": 33,232 "truncated": false,233 "block": 15,234 "row": 8002235 },236 {237 "path": "fixcipos.py",238 "sha256": "1ae45c43b6bf5d6e87168e31f5908097b6de8c80a48b8639dd653cdb9be9cf40",239 "language": "Python",240 "lines": 14,241 "truncated": false,242 "block": 15,243 "row": 6373244 },245 {246 "path": "fixglnexus.py",247 "sha256": "0cf671bdaf71dca5e334b9e3dd5ac8961bf6f35074f6a1f9c9ec4a052779e99b",248 "language": "Python",249 "lines": 25,250 "truncated": false,251 "block": 15,252 "row": 7015253 },254 {255 "path": "getCoverage.py",256 "sha256": "c867987b678b23b92939d8be0ffa4ed703cde1cd65445fc9f48862b63d4dcd66",257 "language": "Python",258 "lines": 62,259 "truncated": false,260 "block": 15,261 "row": 14904262 },263 {264 "path": "getReadname.py",265 "sha256": "ed7a976f9f9a10b17502499ebc17424f38a8e00cd1482067adf8607092bda27a",266 "language": "Python",267 "lines": 166,268 "truncated": false,269 "block": 15,270 "row": 16505271 },272 {273 "path": "insTE.py",274 "sha256": "62550ebbd7fbf0daed1100f2ba199dac562691be5dd9f4a5d5525f600acd1a03",275 "language": "Python",276 "lines": 134,277 "truncated": false,278 "block": 15,279 "row": 15636280 },281 {282 "path": "medmax.sh",283 "sha256": "1b5e3f675c37405267aa1abf3d3dc042435f3cfeb145ca22f3fcd173f3a09f84",284 "language": "Shell",285 "lines": 37,286 "truncated": false,287 "block": 16,288 "row": 5675289 },290 {291 "path": "nulltest.py",292 "sha256": "d7505ab7e6ecfc510ff2d1b4d8199fcc4753ddc745e894880158a68050f92489",293 "language": "Python",294 "lines": 23,295 "truncated": false,296 "block": 15,297 "row": 7811298 },299 {300 "path": "plot_scatter_recom.py",301 "sha256": "ee38095c5748256e0efd1891624c805fe06e452720abfc95dda75c0f7f3f080a",302 "language": "Python",303 "lines": 120,304 "truncated": false,305 "block": 15,306 "row": 16051307 },308 {309 "path": "plot_scatteralu.py",310 "sha256": "68b9ded1b5355933c63d00682df20c7711b000871d15ccca92936dbaca83ceb3",311 "language": "Python",312 "lines": 92,313 "truncated": false,314 "block": 15,315 "row": 15314316 },317 {318 "path": "refTE.py",319 "sha256": "5b31bc7aa1a556fbd976f31f3d4da1918bc0862d7d55246c198895717114dd4c",320 "language": "Python",321 "lines": 178,322 "truncated": false,323 "block": 15,324 "row": 18352325 },326 {327 "path": "rmtobed.py",328 "sha256": "a8daf6b2b03bc1b5fba9746bda4c00dc8635914fadbb8114a297fd62ae24420c",329 "language": "Python",330 "lines": 18,331 "truncated": false,332 "block": 15,333 "row": 6802334 },335 {336 "path": "scatter_variants.py",337 "sha256": "2cd69593fa44d25e852213429da527bf95631f49abb0981d23cb3bfb5260d48e",338 "language": "Python",339 "lines": 106,340 "truncated": false,341 "block": 15,342 "row": 15180343 },344 {345 "path": "scatterdata.py",346 "sha256": "811fb1b0a4a82b5c8b1fa92f2011d274dbc0a0d1fff58740551b566f5e3d5839",347 "language": "Python",348 "lines": 189,349 "truncated": false,350 "block": 15,351 "row": 20934352 },353 {354 "path": "sizeplotvcf.py",355 "sha256": "1d076e8eb5d15a65cfeb46c0bccb77d3fbca32caec4f0adea6b5e779b335e979",356 "language": "Python",357 "lines": 40,358 "truncated": false,359 "block": 15,360 "row": 8551361 },362 {363 "path": "snv2bed.py",364 "sha256": "af1403eeff7d4c6401f30dd4781b8a6d3718f9a626d6411b3e626e1d71688d97",365 "language": "Python",366 "lines": 110,367 "truncated": false,368 "block": 15,369 "row": 16237370 },371 {372 "path": "snvtype.py",373 "sha256": "fd682d7b352aa2125c4d0387def8ffb02e7af70111284a695adf89e840289a9d",374 "language": "Python",375 "lines": 21,376 "truncated": false,377 "block": 15,378 "row": 7013379 },380 {381 "path": "stats_SV.py",382 "sha256": "0cf6e549d8593d1fe05613468d57ed18062d20094f9adb1ecb1cef937192d1cb",383 "language": "Python",384 "lines": 87,385 "truncated": false,386 "block": 15,387 "row": 15581388 },389 {390 "path": "stix_run.sh",391 "sha256": "7f17a4f14ae68a56f47bcab330d648ccda4853808e3c022bef446e8dc47b5373",392 "language": "Shell",393 "lines": 26,394 "truncated": false,395 "block": 16,396 "row": 4995397 }398 ]399}