huget-0.1.0 is not a library.
huget
- human annotation conversion providing multitude of human genome analysis.
- building entire gProfiler: https://biit.cs.ut.ee/gprofiler/gost using Rust.
- All Tokio hyperthreaded plus Rayon multi-threaded. Async plus parallel threaded both.
New feature
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Build entire classification neural convolutional network for disease and non-disease genes using Burn.
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Files you need and a complete human conversion. You have to put them in a folder and dotenv reads them automatically.
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My Codeberg doesnt allow for the large file upload, so you have to download them from the link i will post with the release today.
├── gencode.v50.metadata.HGNC
├── gencode.v50.metadata.PDB
├── gencode.v50.metadata.PolyA_feature
├── gencode.v50.metadata.Pubmed_id
├── gencode.v50.metadata.RefSeq
├── gencode.v50.metadata.SwissProt
├── gencode.v50.metadata.Transcript_supporting_feature
├── gencode.v50.metadata.TrEMBL
├── hsapiens.GO:BP.ENSG.gmt
├── hsapiens.GO:CC.ENSG.gmt
├── hsapiens.GO:MF.ENSG.gmt
├── hsapiens.HPA.ENSG.gmt
├── hsapiens.HP.ENSG.gmt
├── hsapiens.MIRNA.ENSG.gmt
├── hsapiens.REAC.ENSG.gmt
└── hsapiens.WP.ENSG.gmt
Additional feature
- build language transformer on the selected genes of interest and use them for the language bio-lstm transformer.
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huget: human genomics conversion
************************************************
Gaurav Sablok
codeprog@icloud.com
************************************************
Usage: huget <COMMAND>
Commands:
maprs-id
generate-info
annotate-all
threaded-length-human threaded version of genelength for human
threaded-length-mouse trhreaded version of genelength for mouse
threaded-human threaded version of genelength for human
threaded-mouse threaded version of genelength for mouse
exon Exon search
gobp GOBP fetch
gocc GOCC fetch
gomf GOMF fetch
hp HP fetch
hpa HPA fetch
react React fetch
pathways Pathways fetch
mi-rna miRNA fetch
pdb pdB fetch
hgnc HGNC fetch
ref-seq RefSeqfetch
swiss Swiss fetch
tr-embl TreMBL fetch
meta-data MetaData fetch
neural-conv1-d Train the Conv1D using the Burn convolution network
help Print this message or the help of the given subcommand(s)
Options:
-h, --help Print help
-V, --version Print version
cargo build
Gaurav Sablok
codeprog@icloud.com