Celia Blanco, Allison Tee, Pramesh Sharma, Matilda S Newton, Kun-Hwa Lee, Samuel E Erickson, Burckhard Seelig, Irene A Chen
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引用次数: 0
Abstract
In vitro evolution is a powerful technique for identifying functional nucleic acids and peptides, but the analysis of the resulting high-throughput sequencing data poses significant challenges, particularly in peptide selections. Existing bioinformatics tools often lack the specificity needed for this task, leaving researchers to navigate complex datasets with inadequate resources. To address these challenges, we present EasyDIVER + , an enhanced pipeline building on the foundation of the original EasyDIVER tool, which was designed for pre-processing sequencing data. EasyDIVER + not only processes raw, paired-end, demultiplexed Illumina read files but also introduces advanced analytical capabilities, including the calculation of enrichment values for each unique sequence across consecutive selection rounds. Furthermore, EasyDIVER + offers a highly flexible and customizable visualization platform, enabling detailed graphical representations of sequence metrics. These new features mark a significant advance in bioinformatics for peptide and protein data, providing researchers with intuitive tools for comprehensive data analysis and interpretation.
期刊介绍:
Journal of Molecular Evolution covers experimental, computational, and theoretical work aimed at deciphering features of molecular evolution and the processes bearing on these features, from the initial formation of macromolecular systems through their evolution at the molecular level, the co-evolution of their functions in cellular and organismal systems, and their influence on organismal adaptation, speciation, and ecology. Topics addressed include the evolution of informational macromolecules and their relation to more complex levels of biological organization, including populations and taxa, as well as the molecular basis for the evolution of ecological interactions of species and the use of molecular data to infer fundamental processes in evolutionary ecology. This coverage accommodates such subfields as new genome sequences, comparative structural and functional genomics, population genetics, the molecular evolution of development, the evolution of gene regulation and gene interaction networks, and in vitro evolution of DNA and RNA, molecular evolutionary ecology, and the development of methods and theory that enable molecular evolutionary inference, including but not limited to, phylogenetic methods.