README.md

SPATA2

A Toolbox for Spatial Gene Expression Analysis

For detailed tutorials and examples click on the link below:

https://themilolab.github.io/SPATA2/

If you have used SPATA2 for your analysis please consider citing:

Ravi VM, Will P, Kueckelhaus J, Sun N, Joseph K, Salié H, Vollmer L, Kuliesiute U, von Ehr J, Benotmane JK, Neidert N, Follo M, Scherer F, Goeldner JM, Behringer SP, Franco P, Khiat M, Zhang J, Hofmann UG, Fung C, Ricklefs FL, Lamszus K, Boerries M, Ku M, Beck J, Sankowski R, Schwabenland M, Prinz M, Schüller U, Killmer S, Bengsch B, Walch AK, Delev D, Schnell O, Heiland DH. Spatially resolved multi-omics deciphers bidirectional tumor-host interdependence in glioblastoma. Cancer Cell. 2022 Jun 13;40(6):639-655.e13. doi: 10.1016/j.ccell.2022.05.009. PMID: 35700707.

Inferring spatially transient gene expression pattern from spatial transcriptomic studies, Jan Kueckelhaus, Jasmin von Ehr, Vidhya M. Ravi, Paulina Will, Kevin Joseph, Juergen Beck, Ulrich G. Hofmann, Daniel Delev, Oliver Schnell, Dieter Henrik Heiland doi: https://doi.org/10.1101/2020.10.20.346544

Licences Information

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.



kueckelj/SPATA2 documentation built on March 16, 2024, 10:25 a.m.