PyFeat-2.x
importedsoftware/pyfeat-2-x
Biological Feature Representation Tool form the Sequences
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- rafsanjani.pythonanywhere.com/
- Repository
- github.com/RafsanjaniHub/PyFeat-2.x
- Documentation
- unknown
- Tags
- bioinformatics · computational-biology · genomics · proteomics · rna-seq
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- PyFeatbioinformatics · computational-biology · genomics · proteomics
A Python-based Effective Feature Generation Tool from DNA, RNA, and Protein Sequences
- cell2cellbioinformatics · computational-biology · rna-seq
User-friendly tool to infer cell-cell interactions and communication from gene expression of interacting proteins
- CalliNGS-NFbioinformatics · genomics · rna-seq
GATK RNA-Seq Variant Calling in Nextflow
- alphafoldfetchbioinformatics · computational-biology · proteomics
CLI for downloading AlphaFold structures using UniProt IDs or FASTA files
- czid-webbioinformatics · computational-biology · genomics
Infectious Disease Sequencing Platform
- seurigiotto-benchmark-frameworkbioinformatics · computational-biology · genomics
Optimized pipelines for Spatial Transcriptomics (ST) data analysis using Seurat & Giotto, designed for reproducible benchmarking and biological insight.
- api.github.com/repos/RafsanjaniHub/PyFeat-2.xretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2022-06-13, 9 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/20.json→ .entries["pyfeat-2-x"]
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