{"id":24745786,"url":"https://github.com/bibymaths/python_snippets","last_synced_at":"2025-07-29T01:07:13.869Z","repository":{"id":273132315,"uuid":"918794833","full_name":"bibymaths/python_snippets","owner":"bibymaths","description":"A collection of Python scripts for bioinformatics data analysis, including tools for transcription counts, nucleotide composition, and protein sequence evaluation.","archived":false,"fork":false,"pushed_at":"2025-03-22T00:15:52.000Z","size":4,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-29T18:04:18.377Z","etag":null,"topics":["amino-acid-scoring","bioinformatics","data-analysis","fasta-generation","mathematical-evaluation","nucleotide-analysis","protein-sequence-analysis","transcription-counts"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/bibymaths.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-01-18T21:44:47.000Z","updated_at":"2025-03-22T00:15:55.000Z","dependencies_parsed_at":"2025-06-29T18:04:19.621Z","dependency_job_id":"bbaf9bf9-56a2-4ce2-acaa-b21a4e3318c0","html_url":"https://github.com/bibymaths/python_snippets","commit_stats":null,"previous_names":["bibymaths/python_snippets"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/bibymaths/python_snippets","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bibymaths%2Fpython_snippets","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bibymaths%2Fpython_snippets/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bibymaths%2Fpython_snippets/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bibymaths%2Fpython_snippets/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/bibymaths","download_url":"https://codeload.github.com/bibymaths/python_snippets/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bibymaths%2Fpython_snippets/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":267613198,"owners_count":24115594,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-07-28T02:00:09.689Z","response_time":68,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["amino-acid-scoring","bioinformatics","data-analysis","fasta-generation","mathematical-evaluation","nucleotide-analysis","protein-sequence-analysis","transcription-counts"],"created_at":"2025-01-28T03:29:41.708Z","updated_at":"2025-07-29T01:07:13.807Z","avatar_url":"https://github.com/bibymaths.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Bioinformatics Tools and Scripts\n\nThis repository contains various Python scripts developed for bioinformatics research, with a focus on data analysis, evaluation, and transformation. These tools cater to different aspects of biological data processing, including transcription counts, nucleotide evaluation, and protein-based analyses.\n\n## Repository Contents\n\n1. **`aa_score_ranking.py`**: Evaluates amino acid scores and ranks them based on specific criteria.\n2. **`mathematical_operators_eval.py`**: Performs mathematical evaluations, focusing on specific operations for bioinformatics datasets.\n3. **`nucleotide_count.py`**: Counts and analyzes nucleotide compositions in DNA sequences.\n4. **`aa_charge_to_fasta.py`**: Converts amino acid charge data into FASTA format for downstream analysis.\n5. **`transcription_counts.py`**: Processes transcription count data for gene expression studies.\n\n## Usage\n\nEach script is self-contained and focuses on a specific data processing task. To use these scripts:\n\n1. Clone this repository to your local machine:\n   ```bash\n   git clone \u003crepository_url\u003e\n   ```\n2. Navigate to the script of interest and execute it in a Python environment:\n   ```bash\n   python \u003cscript_name\u003e.py\n   ```\n\n## Prerequisites\n\n- Python 3.8 or higher\n- Required Python packages (can be installed using `requirements.txt` if provided)\n\n## Key Features\n\n- **Modular Design**: Scripts are independent, allowing focused use based on task requirements.\n- **Bioinformatics Focus**: Tailored for common bioinformatics data transformations and evaluations.\n- **Extensibility**: Easy to adapt and integrate into larger workflows.\n\n## Contribution\n\nContributions are welcome! If you'd like to improve existing scripts or add new functionalities, please fork the repository, make your changes, and submit a pull request.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbibymaths%2Fpython_snippets","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbibymaths%2Fpython_snippets","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbibymaths%2Fpython_snippets/lists"}