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Sagnik Banerjee
Sagnik Banerjee
Graduate student at Iowa State University
Verified email at iastate.edu
Title
Cited by
Cited by
Year
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
422019
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
342021
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
22*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
192020
NGPINT: a next-generation protein–protein interaction software
S Banerjee, V Velásquez-Zapata, G Fuerst, JM Elmore, RP Wise
Briefings in Bioinformatics, 2020
152020
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
132017
Big data analytics and its prospects in computational proteomics
S Banerjee, S Basu, M Nasipuri
Information Systems Design and Intelligent Applications: Proceedings of …, 2015
122015
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
82015
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
52016
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
42015
Powdery mildew effectors AVRA1 and BEC1016 target the ER J-domain protein HvERdj3B required for immunity in barley
Z Li, V Velásquez-Zapata, JM Elmore, X Li, W Xie, S Deb, X Tian, ...
bioRxiv, 2022.04. 27.489729, 2022
22022
A genetic algorithm based pattern matcher
S Banerjee, T Chakrabarti, D Sinha
Int. J. of Scientific & Eng. Res 3 (11), 2012
22012
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
12023
ABRIDGE: An ultra-compression software for SAM alignment files
S Banerjee, C Andorf
bioRxiv, 2022.01. 04.474935, 2022
12022
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
12016
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
12015
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
12015
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
12013
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Articles 1–18