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Then, from this alignment of DNA rRNA sequences, we use computer models to simulate the evolution of sequences.
For the volumetric, highly T2-weighted sequences, we use the single-shot rapid acquisition with relaxation enhancement sequence.
To overcome the nonstationarity of DNA sequences, we use moving windows of different sizes in the AR model.
To better understand how CNNs and RNNs differ in handling long sequences, we use them for text classification tasks in several character-level social media datasets.
In case of voluminous ovarian masses that exceed the FOV of the above-mentioned sequences, we use the following MR protocol.
The video sequences we use in feature selection are "Cactus", "BQMall", and "FourPeople" and the training samples are collected by running HM6.0 [28] under common test conditions.
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When applying polymorphisms to the reference sequences, we used Ns in positions where clear calls could not be made due to insufficient coverage, excessive coverage, low-quality polymorphisms, or heterozygosity.
In the absence of genetic maps, with only limited physiological studies4, without prior genome information and with only very limited transcriptome sequences, we used an iterative hybrid approach to construct a draft genome (Online Methods).
As for KGC4M23, which contains GC-rich sequences, we used Takara LA Taq with GC buffer I (Takara Bio Inc).
A potential problem of our research is the representativeness of the CDR3 sequences we used.
In order to obtain a set of trusted reference sequences, we used self-produced sequences for each taxon whenever possible.
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