Nucleotide A.I.
Project description
ntai
ntai stands for nucleotide (nt) artificial intelligence (A.I.). ntai is a small python library for using fasta sequences with artificial intelligence (A.I.).
Currently there are two main modules that will be of use
Codex
, andbedtools
Read the documentation: https://sumneuron.gitlab.io/ntai/
Codex
Codex
is a class for hot-encoding fasta sequences into channels and back.
Codex
is useful because a character in a fasta sequences can encode multiple
nucleotides or even random repeats.
bedtools
bedtools
is a function exposing the bedtools
library to python. This allows
users to extract fasta sequences from a reference genome with writing to /
reading from files.
fetch
fetch
is a module for fetching the necessary data for using ntai
.
Currently fetch.utils
supports the requests for:
-
fetch_hg38
acquires the fasta for hg38 gzipped -
fetch_exons
acquires Gencode Comprehensive v28 exons in bed format -
fetch_introns
acquires Gencode Comprehensive v28 introns in bed format -
fetch_hg38_chrom_sizes
acquires the chromosome sizes for hg38 in tsv format -
decompress
will decompress a.gz
file
The function fetch.fetch_files
will get all of these files and decompress hg38 in a specified directory.
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