Liang Ou

Results 24 comments of Liang Ou

Thank you for your support and look forward to the launch of the new version. Wish you safety and get through the hard time.

Thanks,the missing of `--recursive` is the reason of trouble.

Hi: I had a similar problem again. ``` self.handle = h5py.File(self.filename, self.mode) File "/home/anaconda3/lib/python3.7/site-packages/h5py/_hl/files.py", line 394, in __init__ swmr=swmr) File "/home/anaconda3/lib/python3.7/site-packages/h5py/_hl/files.py", line 170, in make_fid fid = h5f.open(name, flags, fapl=fapl)...

Thanks for your help. @myrtlecat I used `lsof `and `fuser` to make sure that the folder was not being occupied by another process. On the other hand,The` OSError` didn't appear...

supplementary question: Does the decline of the loss curve indicate that my training is effective and correct?

Hi: I found that there was a big difference between the original sequence(Generated during Gridion sequencing) and the sequence generated by the modified base model. here is an example. ```...

> loss in mapped squiggle for RNA reads is also compounded by polyA absent from guppy called fastq. So you have encountered a similar situation?My friend:) > I guess the...

Thanks a lot!!!I will try to alter the parameter and evaluate the results.Keep in touch.

**Update**: After I update the parameters for `basecall.py`, this is a new statistic result for the same UUID: ``` 5ec71e76-bd51-457d-b1f1-ad551ddae980 ACUACGAGGGUACCCGGGUAAUGCCGCAGGAAUUCUUUGGCCGCAGAACUUCCUUUCAAAGGCUAUUGCUACGGCGGAAAUUAGCUAAUGGUUACAGAAAGAAGCCCAUCCCCUCGGCCCGAAUAGUUUAUCGAAAUCGAGAAGGGCAGUGGAAAUUUCGACGGUCCUGACCGCAUCUCCGACUCCAUCCUUCCCCUGCACUCCUAACAGCAGCAUGUCCAAGAGCCCAUACCUGUCACUUUAGCCACUGGAGCUUCCACCGUCCCUGGCCUCUAAACCAUUGUAUCAUGGCUUCGCGACAAUUAAUGUGCCAAUACAUUCUUACGAGAGUUGGCCUUCAUUCUACCGAGUUUGAUAUGUACUUAUGCUGUUAGUGGUAGUUUAAAGCAUACCACCAAGGUACUGGCUUUGAUUUGUAUUAACCCUAGCAAGCCAUCUUAGCCAGGCUAUUGUGGAAAAGUCAACACCAUGAAGUUUGGAUGAUUGUUGCUGGAUCUUUUUCGGCUAAAUACAAGCUCCACGAAAUAGUCCGACGUCAGCCAAAUUCUUUGGAGCUAUCAAGGCUGCAAUGGCCUACUUCGCCUUAAUAAAACACCGACCAAUAUUUGAAAUCCCCCGUUGAAGCUGAAGUCAGGAUCAUUCCACUAUGCAAAACGUUGUUCCAUGAUCGACGCAGCACAAUUGGUAAUAGACGAGUCAAGGAUAUGUAAGUGGUAAAACUACGGCUGUGAUAUUCGCAUCGUGGACUUUGAGAAUCCCAAAGAAAAUGAGAAGAACCUUCUGCUCAUGGCGGUAAAGCCUAUGCAUGGCUAAGGCUGAUGACGAAAACUGAUGGUCAGUUGUUAUUUUGCCUCAGAAUGGUUGGUCACUAAUGCAGAAUGGAGCAACCUCGGCGGCUGUUAAAUCGUUUGCGCAUUGAUUCAUAUCACCACACUAUGGGUGACAUGUGGUGGCGAACUGUUAUGGUUUUUGUCCCCAGAGUUCUAAACAAGUCUAAUCGAAGAUAUGUUACGAAUCGUCUUUGGCAAAAAGAUUUUCGAGUGUCGAUUAAGCAGAUUCUCGUGGUCCAUUACUCCUUACUUUUUCCCAAGGUAUUGCGUCGCACUCGCGAUAACAUAAACCCUGAGAACAUUUUGAUCUCUUGGGUAUGGUGUUUUUAGAAUUCAUGGGGAUUUUUGGCGCUAUGGAUGUUUGUGCAAUCCCAGCGAUGAUAACUGUUGUGGAAUCAAAGAGUUAUGGGUAUUUUGGUGACCCCCCUCGGCUCCGUGAAAUUCGACUUCCAGGCUUUACAAUCCUUUUAUUGAUAUGACACACCUUAAUUAUCGAAUUCUACAUUGUCAUAUUUUUCGCCACGUUUCCCUUCCGCUAAAGCUUUUUCACGAGAACACCAGUUGGUACGCAAAAUUGUAAAGCUUGGAGAGAGUUUACAAUCUCAUUUGUGCACGUCCAAAAUAUUCGUAUUAAGAUCGCCAUUUUAAACCUGAUCGCAAUGACCUUUUUCCGAAUGCAGCAGGUUGUCUUGUCAUGGCAAAUCCCCAUUGCCAAACAAAGAAUUACUGCCCCCAAGAGAAGCUUUAAUCUCCCUUUGUCCAAGAAAUUGGCGCUGCUUUGUCGAUGAUUGGUUUAUGAUAUCCAGAGUGCCUUGAAACGAGCCAAAUCCUCCCGCUUCAGAGGACUAUCUACGCCACAAUUCAUGUUGAGAUUUUCGUAAUGGCUUGCUUCUUUGUUUUGAAGACGAUUAGUGUUUCAGAUUUUUUUUUAAUUAGCCAUUUUCUUGGUUGUUUGAAUUCAUCAACUCCGCUGCGCAUACUCCUCUCUUUUACCUUAUACUAUUAAUUUUACGACCGAAUUUCGAAAUGAUGUGUGUGUUUUGGCUGCCCCUUCGAAUGGUUACACUUCGACCCGAAGCUAUUUUAUUUGGAACAUGCAAGGCCCGAAAAAAUAAAAACGUCCAAGUUGGACUGACUUGCAAAUUAUAUCUACAAAAAGAAGAUGCCGCAUUGUUUUUUGUAUUCGAAUUUAGUUGAUGUAAUUUUUUAAUUUUUUAAAAUUCCAUCUUCCAUAAUUGCUACUUAUGCUUAAAUUUGGGACAAGCUACGUAUUGUAACGGCAUAGUGAGGAAAAUGGCCUUGUUUAAUAAUUUUUUCAGAGCAUUUUUUAUCAUAUUUGUAAUAAAGUCAGUAACGGCUUCGACUAAUCUACUGUUUGCGCUUACCUUAAAUAU ACCAAGTCTCCATGGTAATGCCAAGAATTTTCTTGATCGCAGAACTTCCTTCAAGGCTAATTACATGGCGGAAATTAATCAATGGTTACAGAAAGAAGCCCTCTCCCTTGCCCGAATAGTTTATTGCTGAGAAGGCGGTAATGGAAGCTATTCGACGGTCCATTGACCGCATCTCCGACTCCTCCCTGCACTCCTACTGCATGTCCAAGAGCCCATTCTGTCATTTAGCCACTACTGGAGCTTCCTACCGTCCTGGCCTTCTAAACATTAGTATCGTGTTCGCGACAATTATGCCAATCATCACACGAGAGTTGGCCATTCACTACCGAGTTTGATATGTTTACCATGCTGTTAGTGGTAGTTTAAGCTCTCCTCCAAGGTACTGGCTTTTGATTGTATTAACCCTGCAAATCCATTTAGCCAGGCTATTGGAAAGTCATCCATGAAGTTTGGATGATAATGTTGGATTTCGGCTAATACAAGCTCCAAATAGTCCGACGTCAGCCAAATATTTTGAGGCATCCAAGGCTGCAATGGCCCTACTACTTATCCTATAAAACACCGACCAATATTTCTGAATCCCCGCAGCTGAAGTCAGGATTTATTCCATATGCAAAACGCGTTGTTCCTCGATTGAGCGTAGAATCAATTGGTTGATGAGACCAAGGATATGTAGTGGTGCTACGGCTGTGATACGTTTGGACTCTTGAGAATCCCAAAGAATGAGAAGAACCTTCGCTTTGCGGTAAAGCCTATCGTCGTTAAGGCTGATGACGAAACTGATGGTCAGTATTGCTAAACTTGCCTCCAGAATGGTTGGTTCAATGCAGAATGGAGCATCCTAATGTTGTTAAATCGTTGATTTGTGCATTGATTCTCATTATCTTCCTCTCTATAGTGACACGTGGTGCGCTGTTATGGTTCGTCCCAGAGGGATCTGCTAAGTCTAATCGAAGATATGACACGATCGTCTTGGCAAAAAGATTTCGAGTGTCGATTAAGCAGATTTCGTGGTCTCATTACTCCACATTCCCAAGGTATTGTGCGCATTCGCGATATTAAACCTGAGAACATTTTGATTTAAGTATGGTGTTTTAGAATTACTGATTCTTGGCGCTGTGATGTTTTGTGCAATCCCGGTGACGATATTACTGTTGTGGAATCAAAGAGTATGGGTATTTGTAGTGACCCCTTCGGCTCCTGAATTTGACAAGGCTCTTACAATGCCTTTTTGCTGATATGTGATCTACCGCTATCGATTTTACATTGTCTATATTTCGTCATACCTTTCCGCAAAGCTTTCAGAACGACCAGTTGTACGCAATTGTAAAGCTTGGAGAGTACAATCTCATTTGCGATGTCCAAAATATTCGTATATCAAAGACTTGCCATATTTTAAACCAGTTTATAATGACCTTTCCGATGCTATGCAGCAGTTGTTTCTGTTTGGCAAATCCCATTGCCGAACAAAGAATTACTGCCCAAGAAGCTTTAATCTTCCCTTTGTCCAAGAAATTGAATGCTGTTTTGTCGTCGATTGTACACTATGATGCTCCAGAGGTGCCTTGAATGGGCAAATCCTCCTCGCTTCAGAAGTTATCTACGCCACAATCACTCGTTGAGATTTCGTAATGGCTTGCTTTGTTTGAAGACGATTAGTGTACGAGATTTTTAATAGCCATTTCTTGGTTGTTTGATTTTTATCATCAATGCCACGTTGTGTGCATACTCCTCTCTTCTCTCCTTATACTAACTAATTTCATGTACGATTTTCGAAATGATGTGTGTTTTGTTGCCCTTTGCTGGTTACACTTTCGACCTAAGCTATTTATTTGGAACCAAGGCCAAAAAAATAAAAACGTCCAAAGTTGACTGACTTAATAAATTATATACAAAAAGAAGATGCCGCATTGTTTTGTATTTGCTTAGTTGATGTAATTTTTTAATTCTTTAAATTCCATTTCCATTGCTGCATTTATGCTTAGCTACTAGTCAAGCTACGCAATATATGAAAATGCATAGTGAGGAATGGCCTTGTTTAATAATTTCAGAGCATTTTTATCATATTGTAATAAAAGTTCAGTAACGGCTTCGACTGCTTACTGTTTAGCGA 84.92208982584785 59.30366612866036 NM_001023527.2 2894 5076 ('NM_001023527.2',) 2849 5063...

@marcus1487 Thank you for your advice!I'll read the megalodon docs later.