Detection and Characterization of Cry1ac in BT Cotton Hybrids of MECH 162 and RCH2

Mallu, Maheswara Reddy; Dronavalli, Nandini; Nannapaneni, Sreeja; Kamarapu, Aishwarya; Vemula, Sandeep

doi:10.5958/0974-360x.2019.01015.1

Cited by 1 publication

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“…The study showcases a strategy to circumvent the potential pitfalls of the evolutionary algorithm. It will allow us consistently construct an evolutionary correct model for a sequence dataset and will subsequently improve the prediction accuracy of several different types of biological studies, be it a sequence characterization (Guder and Krishna 2019;Kalyani et al 2019;Mallu et al 2019;Satyanarayana et al 2017;Somavarapu et al 2017;Vemuri et al 2019) or proteomic study (Jaswanthi et al 2019;Rao et al 2017;Samara Shekar Reddy et al 2019;Srideepthi et al 2017).…”

Section: Required Strategic Improvement Over the Existing Protocolsmentioning

confidence: 99%

Current strategic limitations of phylogenetic tools badly impact the inference of an evolutionary tree

Nasika

Runthala

2021

Preprint

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For drawing an evolutionary relationship among several protein sequences, the phylogenetic tree is usually constructed through maximum likelihood-based algorithms. To improve the accuracy of these methodologies, many parameters like bootstrap methods, correlation coefficient and residue-substitution models are presumably over-ranked to derive biologically credible relationships. Although the accuracy of protein sequence alignment and the substitution matrix are preliminary constraints to define the biological accuracy of the overlapped sequences/residues, the alignment is not iteratively optimized through the statistical testing of residue-substitution models. The study majorly highlights the potential pitfalls that significantly affect the accuracy of an evolutionary protocol. It emphasizes the need for a more accurate scrutiny of the entire phylogenetic methodology. The need of iterative optimizations is illustrated to construct a biologically credible and not mathematically optimal tree for a sequence dataset.

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Section: Required Strategic Improvement Over the Existing Protocolsmentioning

confidence: 99%

Current strategic limitations of phylogenetic tools badly impact the inference of an evolutionary tree

Nasika

Runthala

2021

Preprint

View full text Add to dashboard Cite

show abstract

Detection and Characterization of Cry1ac in BT Cotton Hybrids of MECH 162 and RCH2

Cited by 1 publication

References 0 publications

Current strategic limitations of phylogenetic tools badly impact the inference of an evolutionary tree

Current strategic limitations of phylogenetic tools badly impact the inference of an evolutionary tree

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