jamsfetch 0.0.1

JAMS-Fetch (Joint Automated Multi-source Sequence Fetcher) is a Python package. It automates the retrieval of sequence and structure data from major bioinformatics databases using a unified, user-friendly interface.

🧬 JAMS-Fetch

JAMS-Fetch (Joint Automated Multi-source Sequence Fetcher) is a Python package. It automates the retrieval of sequence and structure data from major bioinformatics databases using a unified, user-friendly interface.

Supported databases:

• NCBI Nucleotide
• NCBI Genome Assembly
• UniProt
• RCSB PDB
• AlphaFold DB
• ESM Metagenomic Atlas

Whether you're working with DNA sequences, protein sequences, or molecular structures, JAMS-Fetch simplifies the download process and saves files in standard formats.

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🚀 Features

• 🧠 Automatically detects the correct source based on ID format.
• ⚙️ Unified API for batch FASTA sequence downloading.
• 🔍 Separate functions for advanced, source-specific queries.
• 💾 Saves sequences and structures in appropriate formats (FASTA, PDB, CIF).
• 📁 Organizes downloads into user-defined directories.

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📦 Installation

pip install jamsfetch

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🚀 Quick Start

Use fetch_fasta() to automatically download sequences or structure files from multiple sources with a single list of IDs:

from jamsfetch import fetch_fasta

ids = ["P12345", "NM_001200.2", "GCF_000001405.39"]
fetch_fasta(
    id_list=ids,
    output_dir="downloads/",
    assembly_data_type="genomic"  # or "protein"
)

To download 3D protein structures, either experimentally determined or predicted, use fetch_structure():

from jamsfetch import fetch_structure

ids = ["Q8WXF3", "1A2B"]       # UniProt, PDB and ESM IDs are accepted
fetch_structure(
    id_list=ids,
    output_dir="downloads/",
    file_format="pdb",          # or "cif"
    source="experimental"       # or "predicted"
)

🔧 Advanced Usage

Use the following source-specific functions when you need greater control over what and how data is downloaded.

⛁ Uniprot

Download the original FASTA file(s) from UniProt:

get_uniprot( uniprot_ids='P12345', # specify a single UniProt ID or a list of IDs outdir="uniprot_fasta", # specify output directory for FASTA files )

⛁ NCBI Nucleotide

⛁ NCBI Genome Assembly

Download genomic or protein data for specific organisms or id(s):

from jamsfetch.utils import get_assembly

get_assembly(
    organism="Homo sapiens",         # specify an organism name
    ids=None,                        # or use specific assembly IDs
    bioproject=None,                 # or BioProject
    output_dir="genomes/",           # specify output directory
    data_type="genomic",             # "genomic" or "protein"
    n=1,                             # if organism was passed, number of genome/proteoms to download
    unzip=True,                  
    reference_only=True              # Only reference genomes if True
)

⛁ PDB

Download desired protein structures:

from jamsfetch.utils import get_pdb

get_pdb(
    pdb_ids=['1TUP', '9E2J'],       # specify a single ID or a list of IDs
    output_dir="structures/",       # specify output directory
    file_format="pdb",              # or "cif"
    unzip=True                      # whether to unzip or leave .gz files
)

⛁ AlphaFold DB

Download AlphaFold-predicted protein structures:

from jamsfetch.utils import get_alphafold

get_alphafold(
    uniprot_ids='P12345',           # specify a single ID or a list of IDs
    output_dir="structures/",       # specify output directory
    file_format="pdb",              # or "cif"
)

⛁ ESM Metagenomic Atlas

Download ESMFold-predicted protein structures:

from jamsfetch.utils import get_esm

get_esm(
    esm_ids='MGYP000740062793',     # specify a single ID or a list of IDs
    output_dir="structures/",       # specify output directory
    file_format="pdb",              # or "cif"
)

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Upcoming capabilities:

• Testing - Staszek