An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1038/s41598-018-35506-0

https://doi.org/10.1038/s41598-018-35506-0

Need for high-resolution Genetic Analysis in iPSC: Results and Lessons from the ForIPS Consortium

Cited by: 54
Author(s): Bernt Popp, Mandy Krumbiegel, Janina Grosch, Annika Sommer, Steffen Uebe, Zacharias Kohl, Sonja Plötz, Michaela Farrell, Udo Trautmann, Cornelia Kraus, Arif B. Ekici, Reza Asadollahi, Martin Regensburger, Katharina Günther, Anita Rauch, Frank Edenhofer, Jürgen Winkler, Beate Winner, André Reis
Published: over 6 years ago

Software Mentions 4

bioconductor: CMA
Synthesis of microarray-based classification
Papers that mentioned: 337
Very Likely Science (93)
pypi: CNVkit
Copy number variation toolkit for high-throughput sequencing.
Papers that mentioned: 161
Very Likely Science (65)
pypi: telomerecat
Telomere Computational Analysis Tool
Papers that mentioned: 2
Very Likely Science (100)
pypi: telomerehunter
Estimation of Telomere Content from WGS Data
Papers that mentioned: 1
Very Likely Science (65)