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TorchCell overview: literature and public databases feed an ontology and a knowledge graph (a); reference data and experiment data (b); persistent entities, the encoder, perturbation, and decoder path, and contingent observations (c)

Documentation: https://mjvolk3.github.io/torchcell/

Database: https://torchcell-database.ncsa.illinois.edu:7473/browser/ (Neo4j Browser over the served TorchCell knowledge graph)

Database releases and compatibility: https://mjvolk3.github.io/torchcell/database/compatibility.html

Datasets: https://mjvolk3.github.io/torchcell/datasets/index.html

Dataset downloads (the tc-data API): https://mjvolk3.github.io/torchcell/guide/downloads.html

Download a dataset

Built datasets are served as versioned archives (the records LMDB plus its build manifest) by the tc-data endpoint on the database host, with Swagger at /docs. Each page below is one supported query over the knowledge graph and bundles the datasets it returns: what the experiments measured, one stored record each, the value distributions, the query, and the download commands.

Page Datasets (records)
Gene essentiality and single-mutant fitness Gene essentiality, SGD (1,329)
Single-mutant fitness, Costanzo 2016 (20,484)
Amino acids and betaxanthin Amino acids, Mulleder 2016 (4,678)
Amine peaks, Cooper 2010 (4,313)
Betaxanthin, Cachera 2023 (4,719)

With an endpoint URL and a key (see Downloading datasets), a loader fetches its archive instead of building. Export the two variables in the shell:

export TC_DATA_URL=http://torchcell-database.ncsa.illinois.edu:8724
export TC_DATA_API_KEY=<your key>

or put the same two lines, without export, in a .env file in your project and load it before constructing a loader:

from dotenv import load_dotenv

load_dotenv()  # reads the .env beside this script or in a parent directory

from torchcell.datasets.scerevisiae.mulleder2016 import AminoAcidMulleder2016Dataset

dataset = AminoAcidMulleder2016Dataset(root="data/torchcell/amino_acid_mulleder2016")

The loader reads the two variables from the process environment and does not read .env itself. With TC_DATA_URL unset it builds from the publisher's files instead.

The full collection served by the knowledge graph (51 datasets, 52.7 million experiments at release 2026.09.21) is listed on the Datasets page.

Metadata

Release files for torchcell 1.8.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for torchcell 1.8.0
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torchcell-1.8.0.tar.gz 4.7 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for torchcell 1.8.0
File Interpreter ABI Platform
torchcell-1.8.0-py3-none-any.whl Python 3 none any Details

Total release size: 10.1 MB

Release files / torchcell-1.8.0.tar.gz

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Release files / torchcell-1.8.0-py3-none-any.whl

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Uploaded via twine/7.0.0 CPython/3.13.14

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