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coolneng | 6d98e9b690 |
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@ -14,8 +14,8 @@ from tensorflow_io import genome
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#+end_src
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#+end_src
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#+RESULTS:
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#+RESULTS:
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: 2021-05-06 20:41:53.592058: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /nix/store/9ilyrqidrjbqvmnn8ykjc7lygdd86g7q-gcc-10.2.0-lib/lib:
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: 2021-05-06 20:19:46.143707: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /nix/store/9ilyrqidrjbqvmnn8ykjc7lygdd86g7q-gcc-10.2.0-lib/lib:
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: 2021-05-06 20:41:53.592101: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
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: 2021-05-06 20:19:46.143750: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
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Tensorflow I/O is an extension that contains a module for genome parsing, we'll use it to import the sequences contained in our FASTQ files:
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Tensorflow I/O is an extension that contains a module for genome parsing, we'll use it to import the sequences contained in our FASTQ files:
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@ -29,44 +29,7 @@ def parse_data(filepath):
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Let's import both the immuneSIM generated HVR dataset and the CuReSim processed one, which contains sequencing errors (mostly indels):
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Let's import both the immuneSIM generated HVR dataset and the CuReSim processed one, which contains sequencing errors (mostly indels):
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#+begin_src python
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#+begin_src python
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original_HVR, _ = parse_data("../data/HVR.fastq")
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original_HVR, _ = parse_data("data/HVR.fastq")
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processed_HVR, _ = parse_data("../data/CuReSim-HVR.fastq")
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processed_HVR, _ = parse_data("data/CuReSim_HVR.fastq")
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print(original_HVR)
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print(original_HVR)
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print(processed_HVR)
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#+end_src
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#+end_src
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#+RESULTS:
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#+begin_example
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tf.Tensor(
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[b'TGTGCCAGCAGCTTAACCATCGGACGCAGTACTTCGGGCCAGGCACGCGGCTCCTGG'
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b'TGTGCCAGCAGCTTAACCATCGGACGCAGTACTTCGGGCCAGGCACGCGGCTCCTGG'
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b'TGTGCCAGCAGCTTAACCATCGGACGCAGTACTTCGGGCCAGGCACGCGGCTCCTGG'
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b'TGTGCCAGCAGCTTAACCATCGGACGCAGTACTTCGGGCCAGGCACGCGGCTCCTGG'
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b'TGTGCCAGCAGCTTAACCATCGGACGCAGTACTTCGGGCCAGGCACGCGGCTCCTGG'
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b'TGTGCCAGCAGCTTAACCATCGGACGCAGTACTTCGGGCCAGGCACGCGGCTCCTGG'
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b'TGTGCCAGCAGCTTAACCATCGGACGCAGTACTTCGGGCCAGGCACGCGGCTCCTGG'
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b'TGTGCCAGCAGCTTAACCATCGGACGCAGTACTTCGGGCCAGGCACGCGGCTCCTGG'
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b'TGTGCCAGCAGCTTAACCATCGGACGCAGTACTTCGGGCCAGGCACGCGGCTCCTGG'
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b'TGTGCCAGCAGCTTAACCATCGGACGCAGTACTTCGGGCCAGGCACGCGGCTCCTGG'], shape=(10,), dtype=string)
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tf.Tensor(
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[b'GCGCCAGCAGCTATTGGATATGGACTAGCTACTC'
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b'TGTGCCAGCAGTGATGTGGTGACATGGGTGCGTAGCAATCAGCCAGCATG'
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b'GCGCCAGCAGCTTGGATAGGACTAGCTACTT'
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b'TGTGCCAGCAGTGAATGGGTGACAGGGTGCGTAGCATCAGCCCCAGCATTT'
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b'TTGCGCAGCAGCTTGGATAGGACTAGCTACTT'
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b'TGTGCCAGCAGTGAATGGGGACAGGGGCGTAGCAATCAGCCCCAGCATTT'
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b'TTGCGCCAGCAGCTTGGATAGGACTAGCTACTT'
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b'TGTGCAGCAGTGAATGGGGACAGGGGCGTAGCAATCAGCCCCAGCATTT'
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b'TGCGCCAGCAGCTTGGATAGGACTAGCTACTT'
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b'TGTGCCAGCAGTGAATGGGGACAGGGGCGTAGCAATCAGCCCAGCATTT'
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b'TTGCGCCAGCAGCTTGGATAGGACTAGCTACTT'
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b'TGTGCCAGCAGTGAATGGGGACAGGGGCGTAGCAATCAGCCCCAGCATTT'
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b'TGCGCCAGCAGCTTGGATAGGACTAGCTACTT'
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b'TGTGCCAGCAGTGAATGGGGACAGGGGCGTAGCAATCAGCCCCAGCATTT'
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b'TGCGCCAGCAGCTTGGATAGGACTAGCTACTT'
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b'TGTGCCAGCAGTGAATGGGGACAGGGGCGTAGCAATCAGCCCCAGCATTT'
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b'TGCGCCAGCAGCTTGGATAGGACTAGCTACTT'
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b'TGTGCCAGCAGTGAATGGGGACAGGGGCGTAGCAATCAGCCCCAGCATTT'
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b'TGCGCCAGCAGCTTGGATAGGACTAGCTACTT'
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b'TGTGCCAGCAGTGAATGGGGACAGGGGCGTAGCAATCAGCCCCAGCATTT'], shape=(20,), dtype=string)
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#+end_example
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