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Atlas of Computational Cell Reprogramming

A reference companion to the review

Computational cell reprogramming: a classification of published methods.

The Atlas reads 58 published computational methods through a single lens: a four-level taxonomy of inverse-design fidelity that ranks methods by how completely they answer the field's shared intervention-design question — applied across all four reprogramming modalities.

The classification

Four levels of inverse-design fidelity

The levels rank methods by how completely they instantiate the shared inverse-design objective — from feature ranking with no intervention model, to explicit forward simulation of each candidate.

Four typed problems

The reprogramming modalities

The four modalities are not four unrelated algorithmic problems; they are four typed versions of the same intervention-design question. Each constrains source state, target geometry, admissible interventions, timescale, and feasibility penalty differently.

Field-level audit

Code, reproducibility, and dataset reuse

Of the 58 reviewed methods, less than half can be independently rerun and only a fraction cross the FAIR4RS threshold. Validation data are almost entirely siloed: 121 of 129 datasets are used by exactly one method.

58

Reviewed methods

43

With public code

27

Independently rerunnable (4/4)

14

FAIR4RS ≥ 3/5

See the reproducibility audit →

Curated, not crowdsourced

Authors of new methods are invited to contact the maintainer

The Atlas is curated by Paola Vera-Licona. Each method is placed in the taxonomy with a written rationale; authors of new methods are invited to propose additions and corrections directly.

Propose a method →

In progress

Site status

Preview build, version v0.1. 58 of 58 methods currently populated. Companion review is under submission; full content will track publication.