Anjali Garg - researchr alias

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Viewing Publication 1 - 5 from 5

2021

Identifying Genotype-Phenotype Correlations via Integrative Mutation AnalysisEdward Airey, Stephanie Portelli, Joicymara S. Xavier, Yoochan Myung, Michael Silk, Malancha Karmakar, João P. L. Velloso, Carlos H. M. Rodrigues, Hardik H. Parate, Anjali Garg, Raghad Al-Jarf, Lucy Barr, Juliana A. Geraldo, Pâmela M. Rezende, Douglas E. V. Pires, David B. Ascher. In Hugh M. Cartwright, editor, Artificial Neural Networks - Third Edition. Volume 2190 of Methods in Molecular Biology, pages 1-32, Springer, 2021. [doi]

Discerning novel drug targets for treating Mycobacterium avium ss. paratuberculosis-associated autoimmune disorders: an in silico approachAnjali Garg, Neelja Singhal, Manish Kumar 0005. bib, 22(3), 2021. [doi]

Identification of chloroplast and sub-chloroplast proteins from sequence-attributed features using support vector machine and domain informationRavindra Kumar, Anjali Garg, Bandana Kumari, Aakriti Jain, Manish Kumar 0005, Equal Contribution. cibcb 2021: 1-9 [doi]

2020

mRNALoc: a novel machine-learning based in-silico tool to predict mRNA subcellular localizationAnjali Garg, Neelja Singhal, Ravindra Kumar, Manish Kumar 0005. nar, 48(Webserver-Issue), 2020. [doi]

2008

Resourcesat-1 data quality evaluation systemS. S. Palsule, Bankim Shah, Gurudeo Paswan, Anuja Sharma, Anjali Garg, Hetal Pandya, Shailendra Srivastava, Sampa Roy. aeog, 10(2):147-158, 2008. [doi]

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