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I am looking for tools to extract features from short DNA sequences. For example, entropy, complexity, GC-content, etc.

I have found the generateFeatures.py script from the PyFeat repo, but is there love a more widely used source code or a standard way to extract features from sequences biopython or similar?

Also, I think that since there are $2N$ encoded bits in a sequence of $N$ nucleotides, we have at most $2N$ independent features that could be extracted.


In addition, I am curios if there are any transformers models for DNA sequences.


Edit: In addition, you can use DeepHF's feature utils, which can be accessed and consumed as seen here.

I am looking for tools to extract features from short DNA sequences. For example, entropy, complexity, GC-content, etc.

I have found the generateFeatures.py script from the PyFeat repo, but is there love a more widely used source code or a standard way to extract features from sequences biopython or similar?

Also, I think that since there are $2N$ encoded bits in a sequence of $N$ nucleotides, we have at most $2N$ independent features that could be extracted.


In addition, I am curios if there are any transformers models for DNA sequences.

I am looking for tools to extract features from short DNA sequences. For example, entropy, complexity, GC-content, etc.

I have found the generateFeatures.py script from the PyFeat repo, but is there love a more widely used source code or a standard way to extract features from sequences biopython or similar?

Also, I think that since there are $2N$ encoded bits in a sequence of $N$ nucleotides, we have at most $2N$ independent features that could be extracted.


In addition, I am curios if there are any transformers models for DNA sequences.


Edit: In addition, you can use DeepHF's feature utils, which can be accessed and consumed as seen here.

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Are there computational tools to extract features fromof DNA sequences?

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Computational Are there computational tools for feature extractionto extract features from DNA sequences?

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