Pandey, M., Kumar, R., Srivastava, P., Agarwal, S., Srivastava, S., Nagpure, N. S., Jena, J. K., & Kushwaha, B. (2018). WGSSAT: A High-Throughput Computational Pipeline for Mining and Annotation of SSR Markers From Whole Genomes. Journal of Heredity, 109(3), 339-343. https://doi.org/10.1093/jhered/esx075

PANDEY, Manmohan, KUMAR, Ravindra, SRIVASTAVA, Prachi, AGARWAL, Suyash, SRIVASTAVA, Shreya, NAGPURE, Naresh S., JENA, Joy K. und KUSHWAHA, Basdeo, 2018. WGSSAT: A High-Throughput Computational Pipeline for Mining and Annotation of SSR Markers From Whole Genomes. Journal of Heredity. 1 Mai 2018. Vol. 109, no. 3, p. 339-343. DOI 10.1093/jhered/esx075.

Pandey, M., R. Kumar, P. Srivastava, S. Agarwal, S. Srivastava, N. S. Nagpure, J. K. Jena, und B. Kushwaha. „WGSSAT: A High-Throughput Computational Pipeline for Mining and Annotation of SSR Markers From Whole Genomes.“. Journal of Heredity, Bd. 109, Nr. 3, Mai 2018, S. 339-43, https://doi.org/10.1093/jhered/esx075.

Pandey, Manmohan/Kumar, Ravindra/Srivastava, Prachi/Agarwal, Suyash/Srivastava, Shreya/Nagpure, Naresh S. u. a.: WGSSAT: A High-Throughput Computational Pipeline for Mining and Annotation of SSR Markers From Whole Genomes., Journal of Heredity 2018, 339-343.

Pandey, M., Kumar, R., Srivastava, P., Agarwal, S., Srivastava, S., Nagpure, N.S., Jena, J.K. und Kushwaha, B. (2018), „WGSSAT: A High-Throughput Computational Pipeline for Mining and Annotation of SSR Markers From Whole Genomes.“, Journal of Heredity, Vol. 109 No. 3, S. 339-343.