| Small RNA discovery in the interaction between barley and the powdery mildew pathogen M Hunt, S Banerjee, P Surana, M Liu, G Fuerst, S Mathioni, BC Meyers, ... BMC genomics 20, 1-21, 2019 | 45 | 2019 |
| FINDER: an automated software package to annotate eukaryotic genes from RNA-Seq data and associated protein sequences S Banerjee, P Bhandary, M Woodhouse, TZ Sen, RP Wise, CM Andorf BMC bioinformatics 22, 1-26, 2021 | 37 | 2021 |
| Next-generation yeast-two-hybrid analysis with Y2H-SCORES identifies novel interactors of the MLA immune receptor V Velásquez-Zapata, JM Elmore, S Banerjee, KS Dorman, RP Wise PLoS Computational Biology 17 (4), e1008890, 2021 | 31* | 2021 |
| De novo transcriptome of Phakopsora pachyrhizi uncovers putative effector repertoire during infection MG Elmore, S Banerjee, KF Pedley, A Ruck, SA Whitham Physiological and Molecular Plant Pathology 110, 101464, 2020 | 23 | 2020 |
| NGPINT: a next-generation protein–protein interaction software S Banerjee, V Velásquez-Zapata, G Fuerst, JM Elmore, RP Wise Briefings in Bioinformatics, 2020 | 18 | 2020 |
| A study of N-gram and Embedding Representations for Native Language Identification S Vajjala, S Banerjee Proceedings of the 12th Workshop on Innovative Use of NLP for Building …, 2017 | 14 | 2017 |
| Big data analytics and its prospects in computational proteomics S Banerjee, S Basu, M Nasipuri Information Systems Design and Intelligent Applications: Proceedings of …, 2015 | 12 | 2015 |
| Powdery mildew effectors AVRA1 and BEC1016 target the ER J-domain protein HvERdj3B required for immunity in barley HTC Zizhang Li, Valeria Velásquez-Zapata, J. Mitch Elmore, Xuan Li, Wenjun ... Molecular Plant Pathology 25 (5), 2024 | 10* | 2024 |
| PhospredRF: Prediction of protein phosphorylation sites using a consensus of random forest classifiers S Banerjee, S Basu, D Ghosh, M Nasipuri 2015 International Conference and Workshop on Computing and Communication …, 2015 | 8 | 2015 |
| JUPred_MLP: prediction of phosphorylation sites using a consensus of MLP classifiers S Banerjee, D Ghosh, S Basu, M Nasipuri Proceedings of the 4th International Conference on Frontiers in Intelligent …, 2016 | 5 | 2016 |
| Improving protein protein interaction prediction by choosing appropriate physiochemical properties of amino acids S Banerjee, S Nag, S Tapadar, S Ghosh, S Guha, S Bakshi 2015 International Conference and Workshop on Computing and Communication …, 2015 | 4 | 2015 |
| A genetic algorithm based pattern matcher S Banerjee, T Chakrabarti, D Sinha Int. J. of Scientific & Eng. Res 3 (11), 2012 | 2 | 2012 |
| GOThresher: a program to remove annotation biases from protein function annotation datasets P Joshi, S Banerjee, X Hu, PM Khade, I Friedberg Bioinformatics 39 (1), btad048, 2023 | 1 | 2023 |
| ABRIDGE: An ultra-compression software for SAM alignment files S Banerjee, C Andorf bioRxiv, 2022.01. 04.474935, 2022 | 1 | 2022 |
| JUPred_SVM: Prediction of Phosphorylation Sites using a consensus of SVM classifiers S Banerjee, D Ghosh, S Basu, M Nasipuri Proceedings of Fifth International Conference on Soft Computing for Problem …, 2016 | 1 | 2016 |
| Identification of relevant physico chemical properties of amino acids with respect to protein glycosylation prediction S Banerjee, B Mitra, A Chatterjee, A Santra, B Chatterjee 2015 International Conference and Workshop on Computing and Communication …, 2015 | 1 | 2015 |
| Improvement of protein disorder prediction by brainstorming consensus S Banerjee, S Guha, A Dutta, S Dutta 2015 International Conference and Workshop on Computing and Communication …, 2015 | 1 | 2015 |
| Finding all Occurrences of a Pattern by a Genetic Algorithm based Divide-and-Conquer Method S Banerjee, T Chakrabarti, D Sinha International Journal of Computer Applications 64 (18), 2013 | 1 | 2013 |
Valeria Velásquez-ZapataPhD Bioinformatics and Computational Biology. Greenlight BioVerified email at greenlightbio.com
