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/kundajelab/chrombpnet",4 "url": "https://github.com/kundajelab/chrombpnet/blob/master/chrombpnet/data/motifs.meme.txt",5 "host": "github.com",6 "commit": "09938fdb4397ec0006510e5251e48920a505d4de",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11 {12 "path": "LICENSE",13 "sha256": "eee7b4d55be619630ce91024410485d25226c387e72315b83712a8dbf89188ef",14 "language": "License",15 "lines": 21,16 "truncated": false,17 "block": 10,18 "row": 606619 },20 {21 "path": "README.md",22 "sha256": "058c4f98218ea2ed854681126b6f682c9f3beec91275781fb37e39c55d0c92ea",23 "language": "Text",24 "lines": 233,25 "truncated": false,26 "block": 10,27 "row": 2000928 },29 {30 "path": "chrombpnet/CHROMBPNET.py",31 "sha256": "db06f619d1562d7759454f9dc1e95e2998e1796ec18bdfdb5c97631b14554046",32 "language": "Python",33 "lines": 182,34 "truncated": false,35 "block": 10,36 "row": 1471337 },38 {39 "path": "chrombpnet/data/__init__.py",40 "sha256": "3584fe9804f53bb03f4d26e971187e5fca0e370aab320755fea2c4083e4416eb",41 "language": "Python",42 "lines": 22,43 "truncated": false,44 "block": 10,45 "row": 1046946 },47 {48 "path": "chrombpnet/evaluation/custom_sequences/custom_sequence_interpret.ipynb",49 "sha256": "ad32742529abf487691836d7d905135322ac14b474c746a052704cc761c4a530",50 "language": "Jupyter",51 "lines": 129,52 "truncated": false,53 "block": 10,54 "row": 512555 },56 {57 "path": "chrombpnet/evaluation/custom_sequences/custom_sequence_pred.ipynb",58 "sha256": "bf5d076acada27a15abc3eeae4f40c5ab864566c1fce51db959bfca11a399639",59 "language": "Jupyter",60 "lines": 88,61 "truncated": false,62 "block": 10,63 "row": 500364 },65 {66 "path": "chrombpnet/evaluation/custom_sequences/viz_sequence.py",67 "sha256": "fbd652b9955cc1ad9d79b09013ad5b33700cd128fef5c7ce38cbdb2ad98aa916",68 "language": "Python",69 "lines": 160,70 "truncated": false,71 "block": 10,72 "row": 1456973 },74 {75 "path": "chrombpnet/evaluation/figure_notebooks/dnase_versus_atac/footprinting.ipynb",76 "sha256": "55a495fc0a607530b1d36010c33a4ed3d6940b44863afdba482c42607e407ec8",77 "language": "Jupyter",78 "lines": 78,79 "truncated": false,80 "block": 10,81 "row": 500882 },83 {84 "path": "chrombpnet/evaluation/figure_notebooks/subsampling/arch_compare_footprinting.ipynb",85 "sha256": "0ff9499b397825eb097afa2939c2edec59a815f0f47e2c70e68d89fee925f3ea",86 "language": "Jupyter",87 "lines": 115,88 "truncated": false,89 "block": 10,90 "row": 526791 },92 {93 "path": "chrombpnet/evaluation/figure_notebooks/subsampling/bias_diff_footprinting.ipynb",94 "sha256": "36b7570af1dd64a65087bf1e213d9287acea928a91eac5566dbee32f36485491",95 "language": "Jupyter",96 "lines": 61,97 "truncated": false,98 "block": 10,99 "row": 4953100 },101 {102 "path": "chrombpnet/evaluation/figure_notebooks/subsampling/comparing_deepshaps.ipynb",103 "sha256": "ca5d0dcc9ac8a00f647e2e300d8ab989fd83de4f0d90145bb13c9970c3149a14",104 "language": "Jupyter",105 "lines": 163,106 "truncated": false,107 "block": 10,108 "row": 5402109 },110 {111 "path": "chrombpnet/evaluation/figure_notebooks/subsampling/comparing_deepshaps_new.ipynb",112 "sha256": "828b65a3792d834e4c5402369bf3bc981c68bade52cf7359620b50aaad7aec81",113 "language": "Jupyter",114 "lines": 127,115 "truncated": false,116 "block": 10,117 "row": 5226118 },119 {120 "path": "chrombpnet/evaluation/figure_notebooks/subsampling/comparing_dnase_tf_new.ipynb",121 "sha256": "90ef7a46e904a92e2b766dfadf9ae0781e092b4d89113948c56884ff8a21cf2d",122 "language": "Jupyter",123 "lines": 600,124 "truncated": false,125 "block": 10,126 "row": 5856127 },128 {129 "path": "chrombpnet/evaluation/figure_notebooks/subsampling/comparing_jsd.ipynb",130 "sha256": "a175a577d872b3ef834549d6fb8abfbb374f62f8238cd9133051834896f202d7",131 "language": "Jupyter",132 "lines": 125,133 "truncated": false,134 "block": 10,135 "row": 5081136 },137 {138 "path": "chrombpnet/evaluation/figure_notebooks/subsampling/comparing_tfm_hits.ipynb",139 "sha256": "b40f3ccc84410c71ac369d7ef480df05763388df2c88fe5b3dff0b560f69fc61",140 "language": "Jupyter",141 "lines": 66,142 "truncated": false,143 "block": 10,144 "row": 4978145 },146 {147 "path": "chrombpnet/evaluation/figure_notebooks/subsampling/correlation_plots_region_wise_gm12878.ipynb",148 "sha256": "e689d01a09c994ce0fb6ac24dbfff07134336392874610644f514b6ff68e72f5",149 "language": "Jupyter",150 "lines": 577,151 "truncated": false,152 "block": 10,153 "row": 5827154 },155 {156 "path": "chrombpnet/evaluation/figure_notebooks/subsampling/footprinting.ipynb",157 "sha256": "818a2a828494492b5a57c5fda205932aa7809ecc4ddb4a83903c2550b0326427",158 "language": "Jupyter",159 "lines": 66,160 "truncated": false,161 "block": 10,162 "row": 5012163 },164 {165 "path": "chrombpnet/evaluation/figure_notebooks/subsampling/get_deepshap_and_predictions.ipynb",166 "sha256": "d2ab8da741e233d4433c1db38e3ca719e627c17f7d17a763dc4c2fb1a0cded9e",167 "language": "Jupyter",168 "lines": 151,169 "truncated": false,170 "block": 10,171 "row": 5364172 },173 {174 "path": "chrombpnet/evaluation/figure_notebooks/subsampling/get_predictions.ipynb",175 "sha256": "9d75146242f7db61f41f09ee10534eaa80342315a7d3d763eca1e64e48adca2c",176 "language": "Jupyter",177 "lines": 295,178 "truncated": false,179 "block": 10,180 "row": 5709181 },182 {183 "path": "chrombpnet/evaluation/figure_notebooks/subsampling/get_predictions_bias.ipynb",184 "sha256": "82346ba7768bfb1c5d1e1102eb459e881ce72cfc48ef60c7b26064a636dc35c3",185 "language": "Jupyter",186 "lines": 234,187 "truncated": false,188 "block": 10,189 "row": 5541190 },191 {192 "path": "chrombpnet/evaluation/figure_notebooks/subsampling/viz_sequence.py",193 "sha256": "533322df380c175073b50fd3f8b924ed47187dd54e8917f3b6402604487997e3",194 "language": "Python",195 "lines": 162,196 "truncated": false,197 "block": 10,198 "row": 14625199 },200 {201 "path": "chrombpnet/evaluation/interpret/input_utils.py",202 "sha256": "75ca7604a7a938edadc14085fb74c0c9f13a69b6a634173b63db889f1fb7470e",203 "language": "Python",204 "lines": 38,205 "truncated": false,206 "block": 10,207 "row": 10949208 },209 {210 "path": "chrombpnet/evaluation/interpret/interpret.py",211 "sha256": "bfbb70a53d1a86621c8c2091519ca9dcd7f91be3ea10564cd1b0af51918e04a4",212 "language": "Python",213 "lines": 138,214 "truncated": false,215 "block": 10,216 "row": 14029217 },218 {219 "path": "chrombpnet/evaluation/interpret/shap_utils.py",220 "sha256": "5342e4515da1c024e9c8f5fd5a941110ca24fbdffb7dfe7a5f66ee2e4cccc2e7",221 "language": "Python",222 "lines": 85,223 "truncated": false,224 "block": 10,225 "row": 13120226 },227 {228 "path": "chrombpnet/evaluation/invivo_footprints/run_tfmodisco.py",229 "sha256": "f3b2368dbaa502418efa2e278f6f7b6956d88d360772a90bd0585d2fed8b801a",230 "language": "Python",231 "lines": 262,232 "truncated": false,233 "block": 10,234 "row": 15413235 },236 {237 "path": "chrombpnet/evaluation/invivo_footprints/script.sh",238 "sha256": "0de3c8a4ce2f3e8a04ccfbce613f676a90d1c0154e7d1f9d3ba2db87789e44ab",239 "language": "Shell",240 "lines": 5,241 "truncated": false,242 "block": 10,243 "row": 19205244 },245 {246 "path": "chrombpnet/evaluation/invivo_footprints/script_new.sh",247 "sha256": "f6679868fb7bdbb92ffaa13257b7b85e33128355e07b99b2f5d5d2ce92a1db98",248 "language": "Shell",249 "lines": 37,250 "truncated": false,251 "block": 10,252 "row": 19478253 },254 {255 "path": "chrombpnet/evaluation/invivo_footprints/tf_modiscohits.py",256 "sha256": "e77d46d0c03effba9b4808a147f3445d59dfc46bcb8ec40056a25361ca8c65be",257 "language": "Python",258 "lines": 332,259 "truncated": false,260 "block": 10,261 "row": 16022262 },263 {264 "path": "chrombpnet/evaluation/make_bigwigs/bigwig_helper.py",265 "sha256": "ed6f32058edde1bb3e65707cbf265e39f706c03c8d88df1c068e313e6d521067",266 "language": "Python",267 "lines": 126,268 "truncated": false,269 "block": 10,270 "row": 13468271 },272 {273 "path": "chrombpnet/evaluation/make_bigwigs/importance_hdf5_to_bigwig.py",274 "sha256": "1772a0ace5762ea165b5cada3a80d206de7901f69d38c56012c19e473e9feda8",275 "language": "Python",276 "lines": 44,277 "truncated": false,278 "block": 10,279 "row": 12165280 },281 {282 "path": "chrombpnet/evaluation/make_bigwigs/predict_to_bigwig.py",283 "sha256": "d752209f7f37efb1ae4a4e6bd20d2e11a7985a86ccc86d81b252823e8cef4eaf",284 "language": "Python",285 "lines": 248,286 "truncated": false,287 "block": 10,288 "row": 15768289 },290 {291 "path": "chrombpnet/evaluation/marginal_footprints/marginal_footprinting.py",292 "sha256": "14d6b848049acbcf2158ec50b7444b467ec7bfc7f2bfb7cd65abc7656a189767",293 "language": "Python",294 "lines": 161,295 "truncated": false,296 "block": 10,297 "row": 14602298 },299 {300 "path": "chrombpnet/evaluation/modisco/convert_html_to_pdf.py",301 "sha256": "ec5c0a4772de18e0ae69c304f72ebf7bba65ee5bcf8ede21b49cb1d3ac6ec56c",302 "language": "Python",303 "lines": 19,304 "truncated": false,305 "block": 10,306 "row": 10338307 },308 {309 "path": "chrombpnet/evaluation/modisco/fetch_tomtom.py",310 "sha256": "96382b36537f274c811e1880531e136ffa3cf76205a03658c3d9861c1f00c685",311 "language": "Python",312 "lines": 156,313 "truncated": false,314 "block": 10,315 "row": 14326316 },317 {318 "path": "chrombpnet/evaluation/modisco/modisco.sh",319 "sha256": "176defb627452e61b7b78da01cd6cfe2b99478950476b5a38e3a2625cf73f0bc",320 "language": "Shell",321 "lines": 38,322 "truncated": false,323 "block": 10,324 "row": 19359325 },326 {327 "path": "chrombpnet/evaluation/modisco/run_modisco.py",328 "sha256": "88c467ff19cbcc8aae95c4c83cef56b07b3d07f217be6e424c613b731a6f4ff1",329 "language": "Python",330 "lines": 161,331 "truncated": false,332 "block": 10,333 "row": 14363334 },335 {336 "path": "chrombpnet/evaluation/modisco/visualize_motif_matches.py",337 "sha256": "1d4fdbdd5f7d3f34d1a1a1f82490e8770dc3584175b9f3f378e632f953a5bb7b",338 "language": "Python",339 "lines": 155,340 "truncated": false,341 "block": 10,342 "row": 15010343 },344 {345 "path": "chrombpnet/helpers/data_generator_examples/batchgen_generator_example.ipynb",346 "sha256": "10a3ed0ce331088549249d84f81605973467c576796f9baf5b493bb2138c4cd5",347 "language": "Jupyter",348 "lines": 49,349 "truncated": false,350 "block": 10,351 "row": 4943352 },353 {354 "path": "chrombpnet/helpers/generate_reports/make_html.py",355 "sha256": "cd9bbdf3b49f726385887d620ccb5eb6afdbd8efea2749eac8824560c4ca323d",356 "language": "Python",357 "lines": 412,358 "truncated": false,359 "block": 10,360 "row": 16520361 },362 {363 "path": "chrombpnet/helpers/generate_reports/make_html_bias.py",364 "sha256": "9fc6810236de2497b6a6d622642cc8fd12943cdb288b9a58488ac2e1e4c583c0",365 "language": "Python",366 "lines": 325,367 "truncated": false,368 "block": 10,369 "row": 16127370 },371 {372 "path": "chrombpnet/helpers/hyperparameters/find_bias_hyperparams.py",373 "sha256": "a020f15c9d1006c6ad7556d9257f741ed0e0c68968ad4cba047890069b8754e3",374 "language": "Python",375 "lines": 150,376 "truncated": false,377 "block": 10,378 "row": 15072379 },380 {381 "path": "chrombpnet/helpers/hyperparameters/find_chrombpnet_hyperparams.py",382 "sha256": "ed62856a140c64cba3ee4bf4834481bc6ef9160eab5bcc1b790c58a37c62164a",383 "language": "Python",384 "lines": 190,385 "truncated": false,386 "block": 10,387 "row": 15534388 },389 {390 "path": "chrombpnet/helpers/hyperparameters/param_utils.py",391 "sha256": "50c33bf74da51d9b375ced547fba1c0cfd415a1257d7c6a5c7db988241d34db4",392 "language": "Python",393 "lines": 67,394 "truncated": false,395 "block": 10,396 "row": 12299397 },398 {399 "path": "chrombpnet/helpers/make_chr_splits/splits.py",400 "sha256": "d8fb0c81cf85354172d558dac9b63f1496ff8041e92ff0a63aabf134b7aa5a08",401 "language": "Python",402 "lines": 38,403 "truncated": false,404 "block": 10,405 "row": 11428406 },407 {408 "path": "chrombpnet/helpers/make_gc_matched_negatives/get_gc_content.py",409 "sha256": "53224e8f872ecc18d87849afbaeabbad6aadb9a070ad78e587d6d07545af821c",410 "language": "Python",411 "lines": 58,412 "truncated": false,413 "block": 10,414 "row": 12190415 },416 {417 "path": "chrombpnet/helpers/make_gc_matched_negatives/get_gc_matched_negatives.py",418 "sha256": "85222965c2f8f1aee46c2527d509abd12939016bb96543e854948f1749c50c8f",419 "language": "Python",420 "lines": 180,421 "truncated": false,422 "block": 10,423 "row": 14608424 },425 {426 "path": "chrombpnet/helpers/make_gc_matched_negatives/get_genomewide_gc_buckets/get_genomewide_gc_bins.py",427 "sha256": "dd6244dd4e1f32795a4b2defe41153997e000e78290619b7af97390b0d2ed8c9",428 "language": "Python",429 "lines": 78,430 "truncated": false,431 "block": 10,432 "row": 12555433 },434 {435 "path": "chrombpnet/helpers/make_gc_matched_negatives/make_gc_matched_negatives.sh",436 "sha256": "aa35f60b4b286851ea36f027d022a50f017015d9bfb43aeae76e9be06117dc8e",437 "language": "Shell",438 "lines": 81,439 "truncated": false,440 "block": 10,441 "row": 19497442 },443 {444 "path": "chrombpnet/helpers/postprocessing/reformat_chrombpnet_h5.py",445 "sha256": "6d05dcae0e829789163d9885009d4cce73cbe8bdc2c0d39566a7913bacbd66c1",446 "language": "Python",447 "lines": 60,448 "truncated": false,449 "block": 10,450 "row": 12007451 },452 {453 "path": "chrombpnet/helpers/preprocessing/analysis/build_pwm_from_bigwig.py",454 "sha256": "207d205e7ff935ca45013f2f0ff006edf73f0a04f256b5efcc9dcf009a8485c8",455 "language": "Python",456 "lines": 72,457 "truncated": false,458 "block": 10,459 "row": 12560460 },461 {462 "path": "chrombpnet/helpers/preprocessing/auto_shift_detect.py",463 "sha256": "e178cdfa0f65d5e75934d1119ea14255480b42aad44e90b6d5e177e65c807cc3",464 "language": "Python",465 "lines": 260,466 "truncated": false,467 "block": 10,468 "row": 15627469 },470 {471 "path": "chrombpnet/helpers/preprocessing/images/script.sh",472 "sha256": "de6b5789779f69d00636ce61e18b6fef186f10d064719f4029c60a4b6e5fa432",473 "language": "Shell",474 "lines": 72,475 "truncated": false,476 "block": 10,477 "row": 19572478 },479 {480 "path": "chrombpnet/helpers/preprocessing/reads_to_bigwig.py",481 "sha256": "9cb18138509e6f42eedc413e4fe57edd16b824a8f9dcae488ae693972a3afd38",482 "language": "Python",483 "lines": 129,484 "truncated": false,485 "block": 10,486 "row": 14613487 },488 {489 "path": "chrombpnet/parsers.py",490 "sha256": "0e287d9d70b164008a72343663cdecd3f63af5916dacaa581139895695df87d0",491 "language": "Python",492 "lines": 297,493 "truncated": false,494 "block": 10,495 "row": 17098496 },497 {498 "path": "chrombpnet/pipelines.py",499 "sha256": "80796815e39aff7392e7919032ed93320c7c60212022f9716aeeacbf5054f60f",500 "language": "Python",501 "lines": 454,502 "truncated": false,503 "block": 10,504 "row": 17010505 },506 {507 "path": "chrombpnet/training/data_generators/batchgen_generator.py",508 "sha256": "aff7810582520d6f6d1eec66b4079988bb2c40cc35c2bfdb25bd055dcd512034",509 "language": "Python",510 "lines": 111,511 "truncated": false,512 "block": 10,513 "row": 13998514 },515 {516 "path": "chrombpnet/training/data_generators/initializers.py",517 "sha256": "b81a8af2c2cc0a3d0be39b52536e2b15e2fecda85bcea6d9773251d233a62b8a",518 "language": "Python",519 "lines": 95,520 "truncated": false,521 "block": 10,522 "row": 13443523 },524 {525 "path": "chrombpnet/training/metrics.py",526 "sha256": "eabb6535c9e05c7b0dad26d76cf63129370aead2df3fa094aa7cf158c4993b11",527 "language": "Python",528 "lines": 119,529 "truncated": false,530 "block": 10,531 "row": 13623532 },533 {534 "path": "chrombpnet/training/models/bpnet_model.py",535 "sha256": "8ddbab40fa13d4ee7b5e326560e184a2502ddbd009444c5143420bca12d7ee28",536 "language": "Python",537 "lines": 104,538 "truncated": false,539 "block": 10,540 "row": 13239541 },542 {543 "path": "chrombpnet/training/models/chrombpnet_with_bias_model.py",544 "sha256": "bedc63a36ee27bb25ab39a00f1d9e3d4d64809754bf46aebe10d17b3a331dd33",545 "language": "Python",546 "lines": 146,547 "truncated": false,548 "block": 10,549 "row": 14293550 },551 {552 "path": "chrombpnet/training/predict.py",553 "sha256": "8f64a86bb558e63ddf498b48ba5ec558a1ef9e0fe6c21f7aa722054d8e0e43a6",554 "language": "Python",555 "lines": 174,556 "truncated": false,557 "block": 10,558 "row": 14861559 },560 {561 "path": "chrombpnet/training/train.py",562 "sha256": "3a569e319fae561de89d99eab95a15bd369a5ff00922c33bb60342bd6bb9a77f",563 "language": "Python",564 "lines": 104,565 "truncated": false,566 "block": 10,567 "row": 13658568 },569 {570 "path": "chrombpnet/training/utils/argmanager.py",571 "sha256": "dff4160ccc2f6968233020ae97c80235a09bf87ede7e1de19912a779fb042b78",572 "language": "Python",573 "lines": 61,574 "truncated": false,575 "block": 10,576 "row": 13086577 },578 {579 "path": "chrombpnet/training/utils/augment.py",580 "sha256": "8b560dd4d9563f2620c2b6c1043f8a8220385c3c22d9e84fc289e1e80cfbdea7",581 "language": "Python",582 "lines": 85,583 "truncated": false,584 "block": 10,585 "row": 12674586 },587 {588 "path": "chrombpnet/training/utils/callbacks.py",589 "sha256": "4b8879a548c0d2e96e709efdc2414fef628d8e1e3166c6dbf54cb1e0033908a6",590 "language": "Python",591 "lines": 40,592 "truncated": false,593 "block": 10,594 "row": 11378595 },596 {597 "path": "chrombpnet/training/utils/data_utils.py",598 "sha256": "9b3829846750312ff8df98c46cff0b812d1da9688952bf05249b3b37acb291a1",599 "language": "Python",600 "lines": 100,601 "truncated": false,602 "block": 10,603 "row": 12966604 },605 {606 "path": "chrombpnet/training/utils/losses.py",607 "sha256": "c32e816398274bf7995cf83aab9bebb3b40ddaac7d162cebfa0672c31d259a6d",608 "language": "Python",609 "lines": 20,610 "truncated": false,611 "block": 10,612 "row": 10447613 },614 {615 "path": "chrombpnet/training/utils/metrics_utils.py",616 "sha256": "59e803c15f47b2159b5994fc125d94400735baa7cd7c3f1661a18427411144d4",617 "language": "Python",618 "lines": 204,619 "truncated": false,620 "block": 10,621 "row": 14395622 },623 {624 "path": "chrombpnet/training/utils/one_hot.py",625 "sha256": "08b9d746d1460d3990436f905b529ca7a950607c750989ff4316403e840bdc30",626 "language": "Python",627 "lines": 61,628 "truncated": false,629 "block": 10,630 "row": 12279631 },632 {633 "path": "setup.py",634 "sha256": "7dde221fd752bcc421da88d6d151c16c77c4254c92a19d7b6324f13fc93f5e9c",635 "language": "Python",636 "lines": 32,637 "truncated": false,638 "block": 10,639 "row": 10903640 },641 {642 "path": "tests/full_workflow.sh",643 "sha256": "0e192b8e65e73a295f7c18f12e9d62f0d123a5b555e91108bc874b1e096775ca",644 "language": "Shell",645 "lines": 75,646 "truncated": false,647 "block": 10,648 "row": 19525649 },650 {651 "path": "tests/genomewide_gc_bin_test.sh",652 "sha256": "9db04932dbbeaa7fa296c320e19b5e524acbe905250aa75a20708e6efb77ede0",653 "language": "Shell",654 "lines": 52,655 "truncated": false,656 "block": 10,657 "row": 19390658 },659 {660 "path": "tests/test_pred_to_bigwig.sh",661 "sha256": "805aa57ce033d04fccabbb2ae8eb4152125a596413653342212335a2e13a2518",662 "language": "Shell",663 "lines": 3,664 "truncated": false,665 "block": 10,666 "row": 19060667 },668 {669 "path": "workflows/train_bias_model.sh",670 "sha256": "dc789531f99193d9b9a5808f76e6d6704d473ebf77dfb5429bb6e3ec6b08b521",671 "language": "Shell",672 "lines": 313,673 "truncated": false,674 "block": 10,675 "row": 19650676 },677 {678 "path": "workflows/train_chrombpnet_model.sh",679 "sha256": "214cdd8179d25642b6945f55e82b1ef73f538e4f7ee334e2b91735f196d22475",680 "language": "Shell",681 "lines": 451,682 "truncated": false,683 "block": 10,684 "row": 19664685 },686 {687 "path": "workflows/tutorial/step1_download_bams_and_peaks.sh",688 "sha256": "f9651d93b29f16554af39a5fe74e4ed6cc82372bf3e3c38c7268467f8f6e9bbd",689 "language": "Shell",690 "lines": 47,691 "truncated": false,692 "block": 10,693 "row": 19427694 },695 {696 "path": "workflows/tutorial/step2_make_bigwigs_from_bams.sh",697 "sha256": "a079c46efcdb2e15560bf7676b2a3c007695c4ef7139cff67fe00c3d92c4b373",698 "language": "Shell",699 "lines": 43,700 "truncated": false,701 "block": 10,702 "row": 19378703 },704 {705 "path": "workflows/tutorial/step3_get_background_regions.sh",706 "sha256": "a9cf4b08b2b7f6f561b5e2a01c501c42311d357613ef8b81d173a925a0766d5a",707 "language": "Shell",708 "lines": 73,709 "truncated": false,710 "block": 10,711 "row": 19535712 },713 {714 "path": "workflows/tutorial/step4_train_bias_model.sh",715 "sha256": "31186badb5dba01f76d7ae44233b50c2ea81139ffc0dca04df4ddd37d295838f",716 "language": "Shell",717 "lines": 143,718 "truncated": false,719 "block": 10,720 "row": 19578721 },722 {723 "path": "workflows/tutorial/step5_interpret_bias_model.sh",724 "sha256": "68b37852bae80a2401c0e965054ad1b51f8740d6990b377105153ae9bd3759d8",725 "language": "Shell",726 "lines": 49,727 "truncated": false,728 "block": 10,729 "row": 19403730 },731 {732 "path": "workflows/tutorial/step6_train_chrombpnet_model.sh",733 "sha256": "32603ab378fa51da9534beb0bd60ced7bab9e21acea8917c273092fc4bff0751",734 "language": "Shell",735 "lines": 308,736 "truncated": false,737 "block": 10,738 "row": 19645739 },740 {741 "path": "workflows/tutorial/step7_interpret_chrombpnet_model.sh",742 "sha256": "d22b4c4725f44eee5b45f3a2e135721b029f51514bc0a35712877e479b41df30",743 "language": "Shell",744 "lines": 49,745 "truncated": false,746 "block": 10,747 "row": 19411748 }749 ]750}