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Prabina Kumar Meher

Observed names: Meher, Prabina, Meher, Prabina Kumar, P.K. Meher, PRABINA KUMAR MEHER, Prabina K Meher, Prabina K. Meher, Prabina Meher
ORCID: 0000-0002-7098-8785
Observed ORCID: 0000-0002-7098-8785
OpenAlex ID: A5029969116
Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou’s general PseAAC
2017 · Prabina Kumar Meher, Tanmaya Kumar Sahu, et al. · Scientific Reports · 526
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Genetics of Fe, Zn, β-carotene, GPC and yield traits in bread wheat (Triticum aestivum L.) using multi-locus and multi-traits GWAS
2018 · Jitendra Kumar, Gautam Saripalli, et al. · Euphytica · 93
Genome wide association mapping of agro-morphological traits among a diverse collection of finger millet (Eleusine coracana L.) genotypes using SNP markers
2018 · Divya Sharma, Apoorv Tiwari, et al. · PLoS ONE · 82
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Performance of Bayesian and BLUP alphabets for genomic prediction: analysis, comparison and results
2022 · Prabina Kumar Meher, Sachin Rustgi, et al. · Heredity · 78
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Genome Wide Single Locus Single Trait, Multi-Locus and Multi-Trait Association Mapping for Some Important Agronomic Traits in Common Wheat (T. aestivum L.)
2016 · Vandana Jaiswal, Vijay Gahlaut, et al. · PLoS ONE · 73
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ToxA – Tsn1 Interaction for Spot Blotch Susceptibility in Indian Wheat: An Example of Inverse Gene-for-Gene Relationship
2019 · Sudhir Navathe, Punam Singh Yadav, et al. · Plant Disease · 69
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Statistical Approaches for Gene Selection, Hub Gene Identification and Module Interaction in Gene Co-Expression Network Analysis: An Application to Aluminum Stress in Soybean (Glycine max L.)
2017 · Samarendra Das, Prabina Kumar Meher, et al. · PLoS ONE · 64
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Prediction of donor splice sites using random forest with a new sequence encoding approach
2016 · Prabina Kumar Meher, Tanmaya Kumar Sahu, et al. · BioData Mining · 53
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SVM-Root: Identification of Root-Associated Proteins in Plants by Employing the Support Vector Machine with Sequence-Derived Features
2023 · Prabina Kumar Meher, Siddhartha Hati, et al. · Current Bioinformatics · 36
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ASRmiRNA: Abiotic Stress-Responsive miRNA Prediction in Plants by Using Machine Learning Algorithms with Pseudo K-Tuple Nucleotide Compositional Features
2022 · Prabina Kumar Meher, Shbana Begam, et al. · International Journal of Molecular Sciences · 31
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funbarRF: DNA barcode-based fungal species prediction using multiclass Random Forest supervised learning model
2019 · Prabina Kumar Meher, Tanmaya Kumar Sahu, et al. · BMC Genetics · 30
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ASmiR: a machine learning framework for prediction of abiotic stress–specific miRNAs in plants
2023 · Upendra Kumar Pradhan, Prabina Kumar Meher, et al. · Functional & Integrative Genomics · 29
Evaluation of random forest regression for prediction of breeding value from genomewide SNPs
2015 · RUPAM KUMAR SARKAR, A. R. RAO, et al. · Journal of Genetics · 29
Identification and validation of candidate genes for high calcium content in finger millet [Eleusine coracana (L.) Gaertn.] through genome-wide association study
2022 · Divya Sharma, Apoorv Tiwari, et al. · Journal of Cereal Science · 26
miRNALoc: predicting miRNA subcellular localizations based on principal component scores of physico-chemical properties and pseudo compositions of di-nucleotides
2020 · Prabina Kumar Meher, Subhrajit Satpathy, et al. · Scientific Reports · 25
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Identification of species based on DNA barcode using k-mer feature vector and Random forest classifier
2016 · Prabina Kumar Meher, Tanmaya Kumar Sahu, et al. · Gene · 25
PlDBPred: a novel computational model for discovery of DNA binding proteins in plants
2022 · Upendra Kumar Pradhan, Prabina Kumar Meher, et al. · Briefings in Bioinformatics · 24
Identification of donor splice sites using support vector machine: a computational approach based on positional, compositional and dependency features
2016 · Prabina Kumar Meher, Tanmaya Kumar Sahu, et al. · Algorithms for Molecular Biology · 24
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ASRpro: A machine‐learning computational model for identifying proteins associated with multiple abiotic stress in plants
2022 · Prabina Kumar Meher, Tanmaya Kumar Sahu, et al. · The Plant Genome · 23
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GWAS for main effects and epistatic interactions for grain morphology traits in wheat
2022 · Parveen Malik, Jitendra Kumar, et al. · Physiology and Molecular Biology of Plants · 23
Single-trait, multi-locus and multi-trait GWAS using four different models for yield traits in bread wheat
2021 · Parveen Malik, Jitendra Kumar, et al. · Molecular Breeding · 23
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ir-HSP: Improved Recognition of Heat Shock Proteins, Their Families and Sub-types Based On g-Spaced Di-peptide Features and Support Vector Machine
2018 · Prabina K. Meher, Tanmaya K. Sahu, et al. · Frontiers in Genetics · 23
ASLncR: a novel computational tool for prediction of abiotic stress-responsive long non-coding RNAs in plants
2023 · Upendra Kumar Pradhan, Prabina Kumar Meher, et al. · Functional & Integrative Genomics · 20
nifPred: Proteome-Wide Identification and Categorization of Nitrogen-Fixation Proteins of Diaztrophs Based on Composition-Transition-Distribution Features Using Support Vector Machine
2018 · Prabina K. Meher, Tanmaya K. Sahu, et al. · Frontiers in Microbiology · 19
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DIRProt: a computational approach for discriminating insecticide resistant proteins from non-resistant proteins
2017 · Prabina Kumar Meher, Tanmaya Kumar Sahu, et al. · BMC Bioinformatics · 17
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Works count: 88
Citation count: 1,657
H-index: 21
I10-index: 29
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