cima package

![Model](docs/_static/images/cima-log.png)

Chromatin Imaging Analysis (CIMA) is a Python package designed to facilitate the automated detection, assessment, and analysis of complex chromatin tracing experiments

Authors: Ivan Piacere, Iago Meceda Porto, Anthony Palmieri, Mattia Roccatello, Irene Farabella

### Installation

[CIMA installation](https://gitlab.iit.it/ina/CIMA/-/blob/main/Notebooks/Installing%20CIMA.ipynb?ref_type=heads)

### CIMA demo notebooks

[Notebooks](https://gitlab.iit.it/ina/CIMA/-/tree/main/Notebooks?ref_type=heads)

  • Guided identification of Volumetric CT

  • QC Assessment

  • Morphological and Spatial quantification

  • Volumetric CT comparison with HiC

  • Ball and Stick CT comparison with HiC

### CIMA tools

CIMA also provides a set of command-line tools installed with the library, supporting both quality assessment and chromatin segment comparison. Each tool is accompanied by comprehensive help text to guide users, including those without advanced technical expertise.

[CIMA tools](https://gitlab.iit.it/ina/CIMA/-/tree/main/CIMATools)

implemeted by Iago Maceda Porto

### CIMA API Documentation

NOTE: After the publication, CIMA will be public to all the users and the API will have a dedicated page. In the meantime, you can browse it off-line from:

[CIMA API](https://gitlab.iit.it/ina/CIMA/-/tree/main/pdocCIMA)

### Citation

If you use CIMA, please cite:<br>

Nir* G, Farabella* I, Pérez Estrada* C, Ebeling* CG, Beliveau BJ, Sasaki HM, Lee SD, Nguyen SC, McCole RB, Chattoraj S, Erceg J, AlHaj Abed J, Martins NMC, Nguyen HQ, Hannan MA, Russell S, Durand NC, Rao SSP, Kishi JY, Soler-Vila P, Di Pierro M, Onuchic JN, Callahan SP, Schreiner JM, Stuckey JA, Yin P, Aiden EL, Marti-Renom MA, Wu CT. Walking along chromosomes with super-resolution imaging, contact maps, and integrative modeling. PLoS Genet. 2018 Dec 26;14(12):e1007872. doi: 10.1371/journal.pgen.1007872. PMID: 30586358; PMCID: PMC6324821.

Other specific references:<br> Farabella et al (2015) TEMPy: a Python library for assessment of three-dimensional electron microscopy density fits. J. Appl. Cryst. 48, 1314-1323

### FAQ

If you have any question remaining, we would be happy to answer informally: irene.farabella@iit.it

Subpackages