Database / manifests /16 /github.com__enricobazzi__lynxtrogression_v2.json
opsecsystems's picture
Scripts of 2026-09-29: 4 new block(s), 1817 manifest(s), 0 removed
c64ac01 verified
Raw History Blame Contribute Delete
21.1 kB
{
"format": "oscr-script-manifest/1",
"repository": "github.com/enricobazzi/lynxtrogression_v2",
"url": "https://github.com/Enricobazzi/Lynxtrogression_v2",
"host": "github.com",
"commit": "c563bb0ffbed86d5a27db44157154a709e9014ef",
"license": "Unlicense",
"license_confirmed_by": "license file LICENSE",
"redistribution": "yes",
"files": [
{
"path": "LICENSE",
"sha256": "6b0382b16279f26ff69014300541967a356a666eb0b91b422f6862f6b7dad17e",
"language": "License",
"lines": 24,
"truncated": false,
"block": 6,
"row": 1933
},
{
"path": "README.md",
"sha256": "0a1cb8b81ad7c342724bde39a3ea15508f5494430a75ebf5b50d1e92ced90cdb",
"language": "Text",
"lines": 46,
"truncated": false,
"block": 8,
"row": 9920
},
{
"path": "plot_map.R",
"sha256": "de5bd4c6b31848b642e3d0f433c2332eee3d8e02f1f9ca25392a6e0ad578d490",
"language": "R",
"lines": 39,
"truncated": false,
"block": 8,
"row": 1773
},
{
"path": "revision_1.ipynb",
"sha256": "e00e462729d887294b161d90e84cef52b2b585f836aea2d20517ad8ae72635c9",
"language": "Jupyter",
"lines": 206,
"truncated": false,
"block": 5,
"row": 17505
},
{
"path": "src/alignment/run_qualimap_bam_out.sh",
"sha256": "cea2df5b755429e6848f77dfced4fa029d048c8cb3461aad449c7cd878cbeb70",
"language": "Shell",
"lines": 19,
"truncated": false,
"block": 8,
"row": 6924
},
{
"path": "src/alignment/sbatch_alignment_of_sample_from_yaml.sh",
"sha256": "9ca349fba46c21668c64bee792a505efed6a73104fc3612b11902f2b98ded74d",
"language": "Shell",
"lines": 190,
"truncated": false,
"block": 8,
"row": 9199
},
{
"path": "src/calling/sbatch_bcftoolsconcat_vcflist_outvcf.sh",
"sha256": "76f060500712a5cf7cf58a052dc4cc1a9bdbc5ab307b162924fadb96782d5c1a",
"language": "Shell",
"lines": 18,
"truncated": false,
"block": 8,
"row": 6716
},
{
"path": "src/calling/sbatch_combinegvcfs_gvcflist_ref_outgvcf.sh",
"sha256": "49916437f299dec77652c19d5502d3b9f5789880d2eecefe257e5f1d93364cd8",
"language": "Shell",
"lines": 18,
"truncated": false,
"block": 8,
"row": 6797
},
{
"path": "src/calling/sbatch_genotypegvcfs_ref_ingvcf_outvcf.sh",
"sha256": "8c134066fae0b099250958bd4b45fc43dd6fa40b13c43eb55cf43068e4f3c777",
"language": "Shell",
"lines": 19,
"truncated": false,
"block": 8,
"row": 6731
},
{
"path": "src/calling/sbatch_haplotypecaller_ref_inbam_gvcfdir_chr.sh",
"sha256": "74d367dc39ed6a097c68e8088d1e1012a0ac07cb83789f23c61b85017f2cba0a",
"language": "Shell",
"lines": 61,
"truncated": false,
"block": 8,
"row": 8254
},
{
"path": "src/calling/sbatch_mergevcfs_sample_gvcfdir_chrlist.sh",
"sha256": "408ac585dd9f9746a12eae93c2777d31c5eca711586943be825cec8dd6cc9b96",
"language": "Shell",
"lines": 25,
"truncated": false,
"block": 8,
"row": 7120
},
{
"path": "src/demographic_inference/convert_ls_on_boot_result.py",
"sha256": "996b32a8fae4b6b481bbf9189dccddda3f01fc590b9d042dcb5dc4c64dba52f0",
"language": "Python",
"lines": 34,
"truncated": false,
"block": 6,
"row": 26181
},
{
"path": "src/demographic_inference/convert_opti_table.py",
"sha256": "a1058e3e763c662b87f47b31ce9de0a5c30ad7e0e2a15168ce845592d9103ea6",
"language": "Python",
"lines": 64,
"truncated": false,
"block": 6,
"row": 32615
},
{
"path": "src/demographic_inference/dadi_optimization.py",
"sha256": "cb98ea6fb13921de80869cecbb30f64e24a78b4d8dc67a0b7f6effe0f1afc691",
"language": "Python",
"lines": 166,
"truncated": false,
"block": 6,
"row": 42709
},
{
"path": "src/demographic_inference/dadi_optimization_boot.py",
"sha256": "1318a2d8a10e5b25ee81c3699f34b39b5d9ce2ac3a4c6fe3b63ad36608801a73",
"language": "Python",
"lines": 135,
"truncated": false,
"block": 6,
"row": 39627
},
{
"path": "src/demographic_inference/dadi_optimization_loop.py",
"sha256": "cd0d1009c9514a9ad9acedbcc29e1f5059968bbb4036d34eefaed379553b5665",
"language": "Python",
"lines": 162,
"truncated": false,
"block": 6,
"row": 43098
},
{
"path": "src/demographic_inference/gadma2_best_dadi_models.py",
"sha256": "1382e672ab1e5d7c2c4421eaabc1cfa01f3f4f648260fd8d52f3b48df4cd415e",
"language": "Python",
"lines": 184,
"truncated": false,
"block": 7,
"row": 3023
},
{
"path": "src/demographic_inference/get_ci_table_and_plots.py",
"sha256": "30b950bfd1300aadfc2cc45e5cf97bef096d0aab38bf80dd31b76d01fa4bcb27",
"language": "Python",
"lines": 44,
"truncated": false,
"block": 6,
"row": 31151
},
{
"path": "src/demographic_inference/make_block_bootstrap.py",
"sha256": "2b16937bc978efaa92f68f8fc9d8f97613ec971f469b26831daf4c99776ae91f",
"language": "Python",
"lines": 46,
"truncated": false,
"block": 6,
"row": 31353
},
{
"path": "src/demographic_inference/make_bootstrap_from_gadma.py",
"sha256": "df4e3ef57b156f8b39738ea2431d228e12eaf23a93d2b2932fedef2d1022daea",
"language": "Python",
"lines": 72,
"truncated": false,
"block": 6,
"row": 34463
},
{
"path": "src/demographic_inference/make_fs_from_vcf.py",
"sha256": "17a72704fcc7c6189a40c55f25619f90b709bab8f65c5f142f640df43114cae5",
"language": "Python",
"lines": 49,
"truncated": false,
"block": 6,
"row": 30549
},
{
"path": "src/demographic_inference/plot_boot_params.py",
"sha256": "d86d4ee363d31c40d9676d09e2f99b77158199e796fa3fddcb60874ab0c9d869",
"language": "Python",
"lines": 60,
"truncated": false,
"block": 6,
"row": 34018
},
{
"path": "src/demographic_inference/plot_dadi_2d_sfs.py",
"sha256": "9a74d4d4a79422b46fa502043dc53b8b3876a0d0057a1f1076af947fefb304f5",
"language": "Python",
"lines": 50,
"truncated": false,
"block": 6,
"row": 30385
},
{
"path": "src/demographic_inference/plot_demesdraw_tubes.py",
"sha256": "ccd6f7a46472bd2483b3a2e25dd546e4b3d33f67d815178c16b0a224b758abfe",
"language": "Python",
"lines": 41,
"truncated": false,
"block": 6,
"row": 28694
},
{
"path": "src/demographic_inference/plot_demo.py",
"sha256": "36440e78f2d4603c6349afb7bd6f6866f0affe66c00930bbe9c92c6380f910e2",
"language": "Python",
"lines": 240,
"truncated": false,
"block": 7,
"row": 2120
},
{
"path": "src/demographic_inference/plot_from_demes_boot.py",
"sha256": "e7190bba85acc5076820666d38d780070fe8be8d0c549d55e1af49263660f528",
"language": "Python",
"lines": 145,
"truncated": false,
"block": 6,
"row": 45335
},
{
"path": "src/demographic_inference/plot_mig_from_demes_boot.py",
"sha256": "7f79976b59ff0d0298fc5ddef3e928605a7cb5ec1a750c5d27381eb696a736e8",
"language": "Python",
"lines": 114,
"truncated": false,
"block": 6,
"row": 41408
},
{
"path": "src/demographic_inference/plot_model_and_params.py",
"sha256": "f0fe66d44ded1a8f5192882b753d35e20b904ed7d7792a4b4b6aff6af01aced3",
"language": "Python",
"lines": 124,
"truncated": false,
"block": 6,
"row": 42088
},
{
"path": "src/demographic_inference/plot_ne_mig.py",
"sha256": "469532410c3c37dd4dcf956e61dccf58964bb34c45384bd0b61d2a5db226d4a6",
"language": "Python",
"lines": 172,
"truncated": false,
"block": 7,
"row": 378
},
{
"path": "src/demographic_inference/run_gadma.sh",
"sha256": "8fef8ac4e7a7a0b7c10961b2acebc1e465351c2667ba1a03e690187ce62a38f7",
"language": "Shell",
"lines": 22,
"truncated": false,
"block": 8,
"row": 6939
},
{
"path": "src/demographic_inference/sbatch_ls_on_boot.sh",
"sha256": "2e42bdeca3fe9a71fa0b547260946829c831224c97beed6c5ba0ac3021fae308",
"language": "Shell",
"lines": 23,
"truncated": false,
"block": 8,
"row": 6968
},
{
"path": "src/fastp/sbatch_fastp_fqdir_r1fq_r2fq.sh",
"sha256": "22a37ba593f742a83013e96a4108804b45247c88e689c21f135a954caef5f22a",
"language": "Shell",
"lines": 53,
"truncated": false,
"block": 8,
"row": 8344
},
{
"path": "src/introgression_scans/add_gterror_to_sims.py",
"sha256": "b3fdab4d72187ddb17dc59455399ccd9fad6dd0cb5f467a43aeec9af45b7f77a",
"language": "Python",
"lines": 221,
"truncated": false,
"block": 6,
"row": 45592
},
{
"path": "src/introgression_scans/apply_disc_eb.py",
"sha256": "a01ad793757b714f03d224edddd844afee50bffef69fdb43e57574dc1e7a3446",
"language": "Python",
"lines": 125,
"truncated": false,
"block": 6,
"row": 37106
},
{
"path": "src/introgression_scans/apply_disc_screens.sh",
"sha256": "d1dea97c72a11a0cd04840a66cdf1f17d30c495d09d5308636807eb4ced29582",
"language": "Shell",
"lines": 269,
"truncated": false,
"block": 8,
"row": 9281
},
{
"path": "src/introgression_scans/apply_disc_to_npz.py",
"sha256": "5e9dba3587d11bee89bcd0327935512dd89ce1050258bde938cae3c4f10a10dc",
"language": "Python",
"lines": 145,
"truncated": false,
"block": 6,
"row": 41986
},
{
"path": "src/introgression_scans/draw_introsegment_lengths.R",
"sha256": "906b35d24ec17a743f175c17c87eba2f47d93b6c417953889d18a436210ab0a1",
"language": "R",
"lines": 38,
"truncated": false,
"block": 8,
"row": 1735
},
{
"path": "src/introgression_scans/filter_sims.py",
"sha256": "859551d4dfe395c44429feb619cf1b6e32ca379dee0e2a5da221dc3d87fe23be",
"language": "Python",
"lines": 198,
"truncated": false,
"block": 6,
"row": 43938
},
{
"path": "src/introgression_scans/gene_enrichment.R",
"sha256": "15f08eb4230a7594cd0a463fa6518bd84a2d5e64cfee8c0057c6a7f31a69de2d",
"language": "R",
"lines": 156,
"truncated": false,
"block": 8,
"row": 3544
},
{
"path": "src/introgression_scans/get_beds_from_preds.py",
"sha256": "823e6515e4135de729ac95d262721cc1469a501dbdf2c5ca8bbfdfa7437c3cc6",
"language": "Python",
"lines": 111,
"truncated": false,
"block": 6,
"row": 39530
},
{
"path": "src/introgression_scans/get_intro_and_predbeds.py",
"sha256": "824071dceb2a9b6123130dd46aa0a13dfb82075fe38d79971caf8926e46904c1",
"language": "Python",
"lines": 137,
"truncated": false,
"block": 6,
"row": 44152
},
{
"path": "src/introgression_scans/get_npz_from_sims.py",
"sha256": "a199feaaec9168601b357db1ab14139976f8fc5d41ba446b5ce78216d72d829b",
"language": "Python",
"lines": 79,
"truncated": false,
"block": 6,
"row": 34130
},
{
"path": "src/introgression_scans/get_pintro_table_from_preds.py",
"sha256": "cb8a98248fff22511e33d8a7eb2194f9336c077b77b7b09527b715a3e0d62402",
"language": "Python",
"lines": 74,
"truncated": false,
"block": 6,
"row": 34331
},
{
"path": "src/introgression_scans/go_semsim.R",
"sha256": "fcbeb392a787bc3cdb63c546fde4f002543cb82a8d2218f6818991a8bc3e815d",
"language": "R",
"lines": 43,
"truncated": false,
"block": 8,
"row": 1967
},
{
"path": "src/introgression_scans/make_random_windows.py",
"sha256": "886087c74dda28d996e82f3e364fb0e41ba153e5cc6d4e60b5f984e0d84b2ff6",
"language": "Python",
"lines": 80,
"truncated": false,
"block": 6,
"row": 34353
},
{
"path": "src/introgression_scans/phasedVcfToNpz.py",
"sha256": "c5f5bd0a18b4db6e0cef7d1a2e9feb27c6fbea7f37b86eba33e2f2db52544135",
"language": "Python",
"lines": 160,
"truncated": false,
"block": 6,
"row": 43949
},
{
"path": "src/introgression_scans/pi_tdist_cohend.R",
"sha256": "2f519af48107e82f7afc56dba269f89342c2f143c9ade801498caefe99284b23",
"language": "R",
"lines": 158,
"truncated": false,
"block": 8,
"row": 3837
},
{
"path": "src/introgression_scans/pi_tdist_lm.R",
"sha256": "2d9e9dc41716d62c043e8c5958547ba12ff40aed606243cc4234d0dc6fd73ba8",
"language": "R",
"lines": 70,
"truncated": false,
"block": 8,
"row": 2419
},
{
"path": "src/introgression_scans/plot_chrlen_vs_intro.py",
"sha256": "049b20578bd98ee90137fe2011c8b65f081cced617378d91e6568f57dd01232d",
"language": "Python",
"lines": 75,
"truncated": false,
"block": 6,
"row": 36218
},
{
"path": "src/introgression_scans/plot_chroms_intro.py",
"sha256": "988784d0987f36dddf484c22f13bfd1ebfea39f19bc2cf84e2ec9943cd9284de",
"language": "Python",
"lines": 76,
"truncated": false,
"block": 6,
"row": 35838
},
{
"path": "src/introgression_scans/plot_eval.py",
"sha256": "f46885a19a5bb71e8f312b244f0a47c906a2f7ffe74008fe3f717f2c89bc14aa",
"language": "Python",
"lines": 97,
"truncated": false,
"block": 6,
"row": 38251
},
{
"path": "src/introgression_scans/plot_eval_intro_binary.py",
"sha256": "c6ea2594ce345a8b18ffe8005e58c1eebde8845e6a59b0cbeb547adb73ef291b",
"language": "Python",
"lines": 133,
"truncated": false,
"block": 6,
"row": 41614
},
{
"path": "src/introgression_scans/plot_eval_intro_direction.py",
"sha256": "0bbabcbd28ebbe47b6f0b3706d399e30b260e70b674182d4165b510110b3f5d8",
"language": "Python",
"lines": 137,
"truncated": false,
"block": 6,
"row": 42179
},
{
"path": "src/introgression_scans/plot_eval_prec_recall.py",
"sha256": "3866ae9914aa10e6b30d776f50080cdf27a2277a39e8fa5553626469ac18b364",
"language": "Python",
"lines": 236,
"truncated": false,
"block": 7,
"row": 2751
},
{
"path": "src/introgression_scans/plot_intro_lengths.py",
"sha256": "a609ba4f4575b3a3bbc8548f3e922428370db855572f91a9ce0b909f0c56de16",
"language": "Python",
"lines": 62,
"truncated": false,
"block": 6,
"row": 37550
},
{
"path": "src/introgression_scans/plot_intro_region.py",
"sha256": "d68d79aeea1237f12194fd2e6553b8ee5e7e66d9e42f0703d735e1dc4c5eb888",
"language": "Python",
"lines": 146,
"truncated": false,
"block": 6,
"row": 45256
},
{
"path": "src/introgression_scans/plot_obs_v_rand_windows.R",
"sha256": "5719f46cbfe927c384adffb1bbf428531088f61d09e0eacf3fa8d8e34d87c2c4",
"language": "R",
"lines": 97,
"truncated": false,
"block": 8,
"row": 2681
},
{
"path": "src/introgression_scans/plot_rev1_deptheval.py",
"sha256": "eeabe3c252bf79a472fc646380e2a821e1b449a92abb12d1785c28410ec846e0",
"language": "Python",
"lines": 197,
"truncated": false,
"block": 7,
"row": 424
},
{
"path": "src/introgression_scans/plot_sfs_compare.py",
"sha256": "22700cd348ed2f58ef1bdba5f82b2bd0392d33672d13867aedfc711ed72e2f46",
"language": "Python",
"lines": 78,
"truncated": false,
"block": 6,
"row": 36692
},
{
"path": "src/introgression_scans/plot_window_matrix.py",
"sha256": "8b839ade64c2044e94228daf89dbee4c75290e2d8ecb8f77683bb331b36e6cb0",
"language": "Python",
"lines": 133,
"truncated": false,
"block": 6,
"row": 40187
},
{
"path": "src/introgression_scans/simulate_data.py",
"sha256": "0a2aba0698151ebf96b339e90a2d9c59c1d7fc7cdf5c9cc8e44ef896ec633f77",
"language": "Python",
"lines": 328,
"truncated": false,
"block": 7,
"row": 6389
},
{
"path": "src/introgression_scans/simulate_data_fix.py",
"sha256": "21717865c88ddfd224e8e153e0b6f01896a4569a6240c6a7fba6e9fb0f7b6985",
"language": "Python",
"lines": 334,
"truncated": false,
"block": 7,
"row": 6459
},
{
"path": "src/introgression_scans/simulate_data_withM.py",
"sha256": "13a8156d6e4989a7f0432f8bf7a7297c605439acd1ed244add736d75ea361da6",
"language": "Python",
"lines": 373,
"truncated": false,
"block": 7,
"row": 7454
},
{
"path": "src/introgression_scans/simulate_data_withM_samplemurec.py",
"sha256": "23349ac14eed3cb3cc32930eeafad2d28a26fe67a094edbd93df060191255898",
"language": "Python",
"lines": 396,
"truncated": false,
"block": 7,
"row": 7813
},
{
"path": "src/introgression_scans/test_classes.py",
"sha256": "f699efee18a1428bb9e74e26c43aa2ca804fa6d93d5ab40a4e0da0723822941e",
"language": "Python",
"lines": 53,
"truncated": false,
"block": 6,
"row": 27138
},
{
"path": "src/introgression_scans/write_binary_fastas_from_npz.py",
"sha256": "378d6b8b41a22e0b89caf980a0c5c0320acd40f37ce262d7a8ee59f966b42617",
"language": "Python",
"lines": 99,
"truncated": false,
"block": 6,
"row": 38152
},
{
"path": "src/introgression_scans/write_cdist_and_tdist_beds.py",
"sha256": "cdea30491c41dfb5c90d409e81ab3708299c54618e713a308c8b2a3d28675d59",
"language": "Python",
"lines": 44,
"truncated": false,
"block": 6,
"row": 30801
},
{
"path": "src/introgression_scans/write_dmax_bed.py",
"sha256": "388800aa8e5e4f3f57872fed445b83a84347bb5c3dc8fd53fb4c5c08df3e7756",
"language": "Python",
"lines": 62,
"truncated": false,
"block": 6,
"row": 32523
},
{
"path": "src/introgression_scans/write_fastas_from_hdf5.py",
"sha256": "2a424249ea07373f2f7a881c3d078594c3abf78352038bd383df3767800ce692",
"language": "Python",
"lines": 43,
"truncated": false,
"block": 6,
"row": 27742
},
{
"path": "src/introgression_scans/write_fastas_from_vcf.py",
"sha256": "a20aa3ded48aa976f6e40fb71574a749d43f6ef665aed14df457c1e8b79c168c",
"language": "Python",
"lines": 69,
"truncated": false,
"block": 6,
"row": 33952
},
{
"path": "src/introgression_scans/write_genego_table.py",
"sha256": "aff1b3d2a64ebf920cacc0fcd99007f31d2c015773b995eac9fda977e7453481",
"language": "Python",
"lines": 34,
"truncated": false,
"block": 6,
"row": 25940
},
{
"path": "src/phasing/run_shapeit.sh",
"sha256": "d75ac1296fc785fad9704de10955f2f9415d558639a9ebededed2070d0fd9d37",
"language": "Shell",
"lines": 25,
"truncated": false,
"block": 8,
"row": 7195
},
{
"path": "src/phasing/run_whatshap_ps.sh",
"sha256": "1d37eee7ee9d207d8b071184a75e063593025f5c5e7de185752479efddcd9d06",
"language": "Shell",
"lines": 34,
"truncated": false,
"block": 8,
"row": 7682
},
{
"path": "src/simulate_training_data/create_ms_command.py",
"sha256": "bfe69aaf4145ee6f0040d01668565daf81c29dfe4aa41bd1e137337906d45cb3",
"language": "Python",
"lines": 151,
"truncated": false,
"block": 6,
"row": 43000
},
{
"path": "src/simulate_training_data/create_ms_file.py",
"sha256": "ebb3576d631249013a044209e15663f4ddc9d17ffb1f1b0658b82fa98f6444bd",
"language": "Python",
"lines": 191,
"truncated": false,
"block": 7,
"row": 867
},
{
"path": "src/simulate_training_data/filter_sims.py",
"sha256": "d8a85981c3d77ba68266bcaa5981ba72207eefb5e6fafbaff6139c87a15e46c6",
"language": "Python",
"lines": 199,
"truncated": false,
"block": 6,
"row": 44069
},
{
"path": "src/simulate_training_data/simulate_data.py",
"sha256": "07e36cc7ae79900114db151efced2143b1111e87c918afac7beda04c0bdc3403",
"language": "Python",
"lines": 315,
"truncated": false,
"block": 7,
"row": 5920
},
{
"path": "src/variant_filtering/apply_filters_1to4_invcf_ref_maskbed.sh",
"sha256": "e152995fb87370595a7bdc361680d2574898c2b95d3346a8f8aef9031dadcd49",
"language": "Shell",
"lines": 36,
"truncated": false,
"block": 8,
"row": 7795
},
{
"path": "src/variant_filtering/draw_miss_plot.R",
"sha256": "c9ff416a45b07fc506bf272c543cd75f94b002fcbd7eabcfe870a863c9674b4f",
"language": "R",
"lines": 27,
"truncated": false,
"block": 8,
"row": 1752
},
{
"path": "src/variant_filtering/make_missfilter_beds.py",
"sha256": "ad1938c0534b10fbaf88fb9528710e9e2901e6641245aa8c5adb7e20dbc46be4",
"language": "Python",
"lines": 47,
"truncated": false,
"block": 6,
"row": 31526
},
{
"path": "src/variant_filtering/make_rdfilter_beds.py",
"sha256": "a06b1db922657116004026dacff5ec6497abf9c1fca8ff94746eacf89914e28c",
"language": "Python",
"lines": 88,
"truncated": false,
"block": 6,
"row": 38916
},
{
"path": "src/variant_filtering/mask_repeats.sh",
"sha256": "724e3cd8fdae834ea64dcd21ef4fb1ef54db20c8c355b7d85451dfff862700c9",
"language": "Shell",
"lines": 20,
"truncated": false,
"block": 8,
"row": 6913
},
{
"path": "src/variant_filtering/miss_thresholds.ipynb",
"sha256": "44f8964f71afdd94043889602ae8732dee787deed1a457aa4f308026f513da2c",
"language": "Jupyter",
"lines": 59,
"truncated": false,
"block": 5,
"row": 16321
},
{
"path": "src/variant_filtering/rd_thresholds.ipynb",
"sha256": "55aed68019bd9c578db686c2f3da051a055437b6766371d0bae6263cfd204428",
"language": "Jupyter",
"lines": 99,
"truncated": false,
"block": 5,
"row": 16699
},
{
"path": "src/variant_filtering/sbatch_mosdepth_10k_bam_outdir.sh",
"sha256": "7b3c40687deac3f3fd4e3160e415647d54b2718a1f3f4b96e7ac1806aeae053b",
"language": "Shell",
"lines": 20,
"truncated": false,
"block": 8,
"row": 6879
}
]
}