Published 2023
| Version v4
Dataset
Open
A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers
Description
Trained models and basecalled reads.
Files
analysis_data_file.zip
Files
(30.4 GB)
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md5:f224c3123e1172ce7f6655aae9178675
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md5:5ec934181ab4e5167be27993222ee412
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md5:b7eb5a8b7d2ee351d0dccd09f38d5e49
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md5:3c7d449da410e30ba74f505e6d9ababb
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md5:6847baf0b6642fc5ceccaa3a8c1a937d
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1.4 MB | Preview Download |
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md5:5527981717750bea038c4600e65efea2
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3.8 kB | Preview Download |
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md5:2ea4d8b0a0cf17d4ed7216e72c76755e
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334.8 MB | Preview Download |
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md5:d60767cfcc4c5827587cd7d92f79970d
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2.3 GB | Preview Download |
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md5:a15397ec620d6a2f30b16a1a9fc19358
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1.4 GB | Preview Download |
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md5:62d19a04f4bb66425616998e32c17df6
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834.1 MB | Preview Download |
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md5:5e52b51fae70c30e95ae723ba3afbecc
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823.8 MB | Preview Download |
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md5:5b93c048bc25bdb7d19af0e82845cedf
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833.5 MB | Preview Download |
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md5:ba266e4ba784fadbf584147311bdbe0d
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19.5 GB | Preview Download |
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md5:16bc80d658b98ff0c7be7223b9229ebf
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2.2 GB | Preview Download |
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md5:2584295cc05784ce3c1a0ddfc7f0db46
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1.6 GB | Preview Download |
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md5:de47427e9c27cf07f50512c2b0fdf761
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16.0 MB | Preview Download |
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md5:3f79d70f0f541d2313ab04867b4bc2a5
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14.7 MB | Preview Download |
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md5:2367a1f7d07809edadade150fee06201
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12.3 MB | Preview Download |
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md5:b9425d6df1f7994234a168f1587fea8b
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15.2 MB | Preview Download |
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md5:2ac3c35424dbacf98f1fbeffc4c04a10
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45.9 MB | Preview Download |
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md5:7ff06de769bf737264ca266af036da59
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218.1 MB | Preview Download |