619264c4750c357c52fb12ef2080031fcf49adf3cd73faa4905f3347c118735c 584 CITATION
a08ede101af6149afe52a5ca4814e03df91951addd928c68438c1aa506b64bf6 2274 DESCRIPTION
78c46f9ea5b100acdf4304737944d5eabb00f361b861702df985b035c1cceac5 1179 INDEX
023d7b6c330e5e1d769d28b329a1b4efcac23d36f169394cebc58b60dbd3dc11 1059 LICENSE
fa0c6f106fe712e77d3f6a90cf847842fa8feb8e5662835768cca66e3c5ab4fb 625 Meta/Rd.rds
3467e5010793ae49edb9dd32b47eae62afa9cd7be06d693b5d025d62d017ad5e 133 Meta/data.rds
b4f074bc0f45cfe56d976c0d67a1453067f4b34693828ed02d674a6641b3e332 123 Meta/features.rds
59ffe6d05239b1702b1ecd94c822ebf8b696726578ea0465d189c9f812dd0621 625 Meta/hsearch.rds
cebe5eea6b5728a88876901e9ec0eeaf54156d5cee8c3cbdc697263dbe0e6409 272 Meta/links.rds
9ebcf089e1a07c0f6e2a2215f6f7e6734a5b6a723e6046863ef43d54feef75d6 606 Meta/nsInfo.rds
5978e27b57ccb7c6c71a65cfc9700a74fab0b8e596e0883160feba03dd740019 1698 Meta/package.rds
d0d59bd1f5f349fd03e5e2a1b8dfabae6500640f1ebdf067b2f1a42620fbdb19 200 Meta/vignette.rds
1a15e643d8be0b701fe83410d1bdbda6eff18a8ddb8908d46709f4e92e6878a9 1162 NAMESPACE
c04541a177e2a45271ab21fd41df2bcfdbd00cb41d6fbde6e5033a8288f81aeb 1275 NEWS.Rd
570ca456b280cdeb201ef5ebdf22dc8f80092e2c0c68e33c7f73340e420f3759 1058 R/crisprScore
e51145ac8a7849db75ccbbe57adc3ba31a7ac37f417fd0e602170ffc7f35cb24 73771 R/crisprScore.rdb
1538e29774523e8b3aa66a139a2ce31dc3ad808120529dc60115cd9d8936ced4 1191 R/crisprScore.rdx
5a7cb3ec715aa8d16989dc1572acf75bda2c9977b310101367549ca047c27e65 3156 R/sysdata.rdb
b59a0f03d5c049bc84979aae78143a7177931b8c61f93fa388ca970478063726 207 R/sysdata.rdx
1971ad5227b19df44c641934562d6d70e1ff3c85021cf445371c1cfcb31b5690 26672 README.md
d165f17eb3321fffa5faaa30f8fd4b0c943f39d7e144d20b86c8815b78ecea3f 405373 casrxrf/Cas13designGuidePredictorInput.csv.gz
6991df201880bad2a13648eabcc3fee8a23ccc50bdedfc7d2199aa286e8a5f2d 1512 casrxrf/LICENSE.txt
b53f27fc91c6f06e11d6a80e702d9573a859e8d89c896135c4dca22f8a9e0f48 1668 casrxrf/LocalNTdensityCorrelations.txt
d2d0c35b99989025a635e142b7e6a673b37ff13cd5ac9e18b191a31e82b68695 163 casrxrf/RNAhyb.sh
8f6cb1b77fca4fa4a193dc98448ec82f6ffb251cfd3fdcafb87a75d4daef2224 791 casrxrf/binaryInstall.sh
de0dcd8ea3516869a6ac5b4edb5bd49f566985a6c1e7c09fa964b987d3a31869 226 casrxrf/changes.txt
3ee7601455058148e7a76f68af96a5c7fbc53f52ead05b73e654d0a1f026fb10 1043 casrxrf/test.fa
bfcef6a8248043df6b4326a613edd29622706edd2713281bc49cc7a741e65e85 1722 cfd_cas9/cfd.mm.scores.cas9.rda
636e1d8e65f429db8c578036a673cb4516e896c05f594e3ab134734aab84dafc 3311 cfd_cas9/cfd.mm.scores.cas9.txt
edcd9baf3cea55149dc4807fb8dc0a02c5d52696f25dff9ad61a036612ba3e3f 1724 cfd_cas9/cfd.mm.weights.cas9.rda
5ac88f28c96b06c1c5cbe0cd49a864bde93a94fd9e9e5db6dc680abb075827ef 208 cfd_cas9/cfd.pam.scores.cas9.rda
3f83c4f659cda48795312c080f8528984a3ce25f9b2475d79cb80b4835fb3b45 140 cfd_cas9/cfd.pam.scores.cas9.txt
c14a534d8034bcefc2ff5628097c36a9d103220da607e04ae1db3f8a9f5a122c 209 cfd_cas9/cfd.pam.weights.cas9.rda
21554a5226bdc9651bde2b6b7be4bf58aae0809fedfad0788f4166e64ca1102d 354 cfd_cas9/process.R
452e752a507484b7dfdf2cf181328dcebd8156b3398cf5423997c1c883d885dd 566 cfd_casrx/CasRxWeights.csv
906ee048b158b3412620636ed5187273a42de2990926c1e4f32edbadb987e04e 1091 cfd_casrx/cfd.mm.weights.casrx.rda
59822da7515dc58e48161071bc0adaf8df0ca06f5cdcbb054a2285e1d0c9a6b5 122 cfd_casrx/cfd.pam.weights.casrx.rda
5e4fc11640021b0fce55aafca0c84c16c1a7cfb33edb22d05dbffe238ae0b4e1 552 cfd_casrx/process.R
2256730ec9cf311f3af5ce0ea560e57df3d9e1902db51ad387eeb180f23fbee3 365 createSysdata.R
4547247822e50cb8549ca1cfbb100f6a472deebde77a719e51aad1da28f5dd7e 6867 crisprscan/41592_2015_BFnmeth3543_MOESM640_ESM.xlsx
6e3f1bbfd58e5426651a15cfd0db6ac2094e0a93158dc51639b5929fc9ced5a4 1917 crisprscan/crisprscan_coefficients.csv
bfb83987698efad0084faa5e987ec9457962e8f9572140380a689abcf100faf5 108 crisprscan/readme.txt
3c8b10576768b3c7298a87bc76b3100c8f39c92b18adbedb7d3f416b61aaf851 274 crisprscan/reformat.R
0b79811ef6134617c5e0c24a901468b63fffce18cf655ab057e17e8f6ff38a35 422 data/Rdata.rdb
8a05608e84aeb39e87aa00b5a7fa31d897f77d7f9d2914c9e20309eee84dd724 93 data/Rdata.rds
010cd5d24423d7b95a940102727159de90a4dedbd2fc45e81bb0a001043a1deb 159 data/Rdata.rdx
4253fb275e13fec85c665ea34a230e72b2210eed398e6c2fc52ea9bd822646fb 23 data/datalist
90d8eafacb4cadadcb3cca12439fbe377840c16318847f851d7866cc5c21a475 4473 doc/crisprScore.R
93710671145e63a14aed70dcd799a38380c37fb7645d26ae572d1f7e64634c35 19270 doc/crisprScore.Rmd
112b91e49ddf26dd1e287f56c1cf2f3519cd6254e1444a910c96d1f309a6767f 780384 doc/crisprScore.html
31424bcfdb5bfa20c8f278ef9ba4c099eff5b5126385581355a30d78b4f3ac53 1388 doc/index.html
cb089b539597d9ddb474939aa62a11b556be0a9a9946d6c42b9e68fbce00bdeb 374 help/AnIndex
2b525c1892472d0eded539dbcfceceb14467b53ef1b60e956923e8529301d10f 192 help/aliases.rds
f56d216911f5290edfd86a2a490bff3df1a8c1bea969c459f93ef0d6bf35744f 29242 help/crisprScore.rdb
f33e3a723810082f9466a13d39d0d3a35b9f9f6f788cca275fae107b7b347193 412 help/crisprScore.rdx
da3cf1e443dedb2a1dd400c1980df7437a34962ac1e99b6b266f2ec8d606b4d8 296 help/paths.rds
c49c6c2035ce88cfb2ee0028a9167e07f0d193bfb6188c41920599cfddbb41cd 3010 html/00Index.html
3d290675266eebeba6efff07db879d699843c80bf428f9e71000e2fc6078f5db 2133 html/R.css
6c9dd85dec91d5d8b5d088c5120df528180fa7940ff0a714d0b1aefe2d0f1ec8 521453 mit/mit.jpg
5e51bdcac7e119d769652123dd700b8513bef4f6b2ef8244bf2fb7b89864efc6 298 mit/mit.weights.rda
467d6e821a03b2b2b6caa97bc913b2c35302640e37ec93c85375b3a2ebf80dcb 157 mit/mit.weights.txt
027322da923d96987184fe99604edaab5550a9537050232b3d06e4ff73642bb2 311 mit/processWeights.R
4547e6dd8ef35b092c434d4174bbde4cc528135612dad752cecfc69a4b692d4d 137 python/buildingCondaEnvironments.sh
2df74c966c780e8fb3b6d0a5ad76fb139ac5013ed5202fe58df0aa1701e6ec98 238 python/deephf-env.yml
8f2916a603704eb796dc9c1ab2af9e5d6150c5a3a26ea8ec7833e012f7d2b6c6 203 python/deephf/changes.txt
f3430a21b640e9d24382cc4d18a985fda0bb7540ad6b113595970b9a6442cce0 3419 python/deephf/deephf/README.md
e8c74c6114cb90d148d5129c94bfbdcc135b42d9b174e80cb08748a2be6b253e 17368 python/deephf/deephf/feature_util.py
a8233c12d325253c33c018ceff2b3122500eddffb9b7dd36a16c0a518ae50078 5957 python/deephf/deephf/prediction_util.py
f61d9439355a40664c676cd1ac27836f5c23168f782f0aa9c7059bc2bc51ba04 506 python/deephf/deephf/sequences.txt
773c9f6a395beb67adc9d76b33019001e6f97dfaf3e68cf088c81bfeb169cdd4 8006 python/deephf/deephf/training_util.py
33438ce91d76918ab27b3651515df35b813e805dfa5401fddf432fea8ccdb8d8 574 python/deephf/getDeepHF.py
71f81489f9dcac4958232c39fc4b0e05d84b407010c0d39cd28b852294e4fd88 39 python/deephf/setup.cfg
6370aa531b676d17b1a7b982e980d1102eb9152ac16d8314e2b3b5d72e0c21b6 355 python/deephf/setup.py
2dcd1b793b0ee3ae6211f7eadce575ff8f3b7bcfa9fb074cc7b4fa04db22d158 345 python/downloads.txt
edc2e0de7d8d3ed7122727986062527d43372ae88b0df987f05796373ea5f385 189 python/enpamgb-env.yml
057772522676b90fe92f066af3a75cc60552ea401628761a0462ded7e743e657 162 python/enpamgb/AUTHORS.rst
e0e99e302e7670803d89a9c8d268374e37abc1df1e4bcb3dcef3b7159be0220e 3596 python/enpamgb/CONTRIBUTING.rst
a6bf372880800631e5891dafc5b8caf3c1c035c292d5a94ea6e5c8f4cb064ae0 89 python/enpamgb/HISTORY.rst
689ec34d1260a1e51632e0f2f7f0fafc40f3ce42f11e892ee1ecf9c954f25a57 1073 python/enpamgb/LICENSE
b442c4e02be1163735027422a322efdd31d8243fa768a49ed9128c3bf24dbc2e 1252 python/enpamgb/README.rst
0d53c4af0453b129d232454ce12fcfb5aa33535b0acb439006bd8bc9555dd253 162 python/enpamgb/changes.txt
1e41e2f2b45555afaa008a497a043b9cac2a62ccdbe35233cddc56c1e4f43bec 614 python/enpamgb/docs/Makefile
0ba8e9a403475ae12773cfce9fc7a32bce591e9801a1adde71927982f51d901b 28 python/enpamgb/docs/authors.rst
a315bf322e6131acaa28b276e0ab35140b5e3a8dd9b53b66cddf998adcac681a 5007 python/enpamgb/docs/conf.py
87d5c7434971ff248a817426c2a84940b3c3ed51251ddcaed6bb8a7d85afad80 33 python/enpamgb/docs/contributing.rst
e86b4ac9b9c576e8f15da90c71bd0b1dcac5b16c2a461f0927fc613bf431a9d8 28 python/enpamgb/docs/history.rst
32790a2cc03e7819d44fe6b05e287195d27af8175bf6fcfc555f23c7d9bfcdf3 310 python/enpamgb/docs/index.rst
c31abc4803d28991cdba6baff4207cf4be2602b69023cde719e0843a177a3282 1182 python/enpamgb/docs/installation.rst
a4a2e3a6804f4bada8f96b7a3141e08112165755748b7497b6979bf7363d9624 775 python/enpamgb/docs/make.bat
428d8a1612c33a12eed5f3306b0c4966bb9f3baef4c76d405677ee5a8fb12b20 76 python/enpamgb/docs/modules.rst
087bcb5ee8cba1da1fa14d6e312f7bcdb88b38413041aca1eff5fc1084e3a93f 27 python/enpamgb/docs/readme.rst
61b2e3b5b06a0675d54f4b5514910f04cef211cd41f74245b2af2fbfcfe8f525 94 python/enpamgb/docs/requirements.txt
abf78456c2224857587d9b379245069dc1f739af9d6d867acea1d1112d5ef869 973 python/enpamgb/docs/sgrna_modeler.rst
25147a851c3f501a387337940caa2cbad5ae5aab243a2d33b248af992c097461 190 python/enpamgb/docs/usage.rst
da64402f9654f5479f2f3b9585c14d928a3548eaed53acaf206608905ee1a14d 851 python/enpamgb/getEnPAMGB.py
7c3bf812994b4c592191d002627ffdd5c417e1f5e797abf09d3e5e5bc75d23f0 1732 python/enpamgb/setup.py
05d94a4c5394ab4bd83278e5e7cbd2e419e40f6050d0b153b2f57499f51cb286 162 python/enpamgb/sgrna_modeler/__init__.py
498c32eaf45e956ed7c30357ea3e7479d956184119a3e0b4d5ef2bb092e1c99b 721 python/enpamgb/sgrna_modeler/data/features/physiochem.csv.zip
00cd9491c405301b61f6d5c4afae95a8a3039e1c882a1e90692bc808743231de 437656 python/enpamgb/sgrna_modeler/data/saved_models/Seq_deepCpf1_weights_tf.h5
18641732dbc1b9749cad9cd926cf53c8da6dd81cb911f9be232f60a2f91a299a 183436 python/enpamgb/sgrna_modeler/data/saved_models/enPAM_GB.joblib
d9c672e1865b699854821fb60690713078b6903a96eb9873bec143cf1427f048 14710 python/enpamgb/sgrna_modeler/datasets.py
fd153573d63bc5dbd7fb7db3566a344c829211adc61f590db84a524cec6d0fb0 630 python/enpamgb/sgrna_modeler/enzymes.py
5391e49f60a93fa231e1d70bc4a6c6f458c9e355b4ce368485a431868166aca0 8941 python/enpamgb/sgrna_modeler/features.py
4bccc4a8f6819e46a7c4348c39efe95084f4680a06d9fe792d96bb45e2455a4b 13886 python/enpamgb/sgrna_modeler/models.py
0bc0c611a354747e2e5fe9a757d16409882938c6b78377aae1c36a70f95f12c5 2434 python/enpamgb/sgrna_modeler/mutagenesis.py
68a41ac448b06de2de63497ab647fa7cdf476cf9d0c527240b25960a34431cb6 4605 python/enpamgb/tests/test_data/kim_2019_rs2_predictions.csv.zip
38347d5f26b7f10f325e178403fe7d84ff194edf9940793bc072fe23b39937c2 6095 python/enpamgb/tests/test_sgrna_modeler.py
e7b8568a7f6c7d3b150f32705f998c5da19c4492509b74190de026b8ba28f484 113 python/lindel-env.yml
327187125028be80500026b83ea5636b6c5cdde6908f70cb20a7e046d2c7dfbe 1065 python/lindel/LICENSE
5198a8bfd22937f92011f77a64f61ae09b8c195d56af4764d55807dc3f2eece9 8690 python/lindel/Lindel/Predictor.py
1b105cef59cbaba985faefd3afecf037ccec6b66da52b4f5a5293c33c30c4302 15 python/lindel/Lindel/__init__.py
027a501ce1da0fef3fa040576b99e0aa9fba5b9ba1ddf8451fc49e5a05f63bf1 77385 python/lindel/Lindel/model_prereq.pkl
b3fcd981f61fabc79d8d6088deed60058edf8b5f101868963e521a70fd98e355 1358 python/lindel/Lindel_prediction.py
6035cd293db470278b3989e303e9be42ecf4070b544cfa130f559f272cba37cc 82 python/lindel/MANIFEST.in
8ecc8f4dcee539a521739b4a4a221194789613caa72ab55e6f4a046ca041c48c 292 python/lindel/README.md
06055631feaf56cbb053ce81573b713e22e8cd1eeead5af72bede079125b818b 136 python/lindel/changes.txt
16db899e6f3fbc9080a876d62f591dc4196f6e8500c084cec8b1f772e4d59899 102 python/lindel/example.txt
75c0e0eff8c0954e0622aff7eeb10281e89a07709ad43d28cbbab1ee37228462 765 python/lindel/setup.py
203e59e30620314f99dbb364ad27d0780db6af1ba50c46364f4436a74252c353 198 python/rs3-env.yml
c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4 11357 python/rs3/LICENSE
abe1823259c562fc21bd0bfe80d4297ffcb399b5d013e85c324376fa0108b39e 2746 python/rs3/getRuleSet3ScoresSequence.py
dd4bce4d74f5bb690569b6dbd111378c72b5d81f7c30ec4c8f3c9f7f48163de4 6824 python/rs3/predict.py
b07d4c30fc40987f63c586fa58c2b205deeb22ac8b9ee3e8dadeb1ed2830f48a 1974 python/rs3/predicttarg.py
18968f5e3dab0f09217bd94d5f63148f325ad4380c70b48ccb131ae853bd44d1 469 python/rs3/readme.txt
94c7b3118bb1b8f7caea640432149cac5a1dd4deadd296a3bc723a1946981b98 2728 python/rs3/seq.py
6a5c915fe6f277f92407582fcbd3a0092baedc714e1b6ed429415a764692e54e 61 python/rs3/sequences.txt
88ccd41d4ae058742a46ee885d619bd8ba0bd8106e25f69d38cd7c0507689765 302 python/rs3/setup.sh
e2e66c682d76c4b19f3c59959f3270c7661b154643a94ca27ce03f60f772807b 16907 python/rs3/targetdata.py
494c2e8fa3cbeeed2f2ee6af9cd82f7a981e979cf9c8a033ff0b902e50483205 15336 python/rs3/targetfeat.py
93c567f095e6678f1ebcbd0d963f9e524ec5fba11988588ba1f9d39c66d1f787 440 roster/methods.txt
44a31bee5adaaac7c4381c7d1215f4c019524d902266f562ee02b509675df1e5 255 roster/processRoster.R
ec6d8e3296ac3c3f62b4ee0e9681386aa580be3dd30737ea7e16310ecb89531b 44541 roster/roster.pptx
cd6ece0c6eaeadcc605ba76c06c9d9d17124c0445094793f7cce6b4702b77695 1338 ruleset1/coefficients.csv
