Biological data management and phylogenetic analysis flow method

Abstract

The invention belongs to the technical field of biological information analysis, and discloses a biological data management and phylogenetic analysis process method. The method integrates seven programs of biological data processing and phylogenetic analysis process by using interface software without programming skills, an interface is visual and friendly, and functions of file dragging and dropping, interface memory, one-click upgrade, plug-in management and a program progress bar are provided; a codon alignment function is added to an MAFFT alignment program to solve the alignment problem of a protein gene nucleotide sequence. A batch operation function of the method can save a great amount of operation time and labors, and a multi-gene joint building function is combined to meet the requirements of big data analysis and system genomics; the method provides comprehensive mitochondrial genome bioinformatics analysis for the first time, and can save 99% of the time compared with a traditional analysis method.

Description

technical field [0001] The invention belongs to the technical field of biological information analysis, and in particular relates to a process method for biological data management and phylogenetic analysis. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] With the improvement of sequencing technology, the amount of biological sequence data in open databases (such as GenBank database) has grown rapidly, which makes more and more evolutionary biologists want to use these data for phylogenetic analysis. This includes two major steps, one is the processing of biological data, and the other is a series of phylogenetic analysis processes (including sequence alignment, alignment sequence optimization, sequence concatenation, phylogenetic model selection, and phylogenetic tree construction, etc.). Huge and cumbersome biological data needs to be processed using programming languages, and the native tools used...

AI Technical Summary

Problems solved by technology

[0005] Although there have been many tools for biological data processing and phylogenetic analysis, they have the following defects: ①There are errors in biological sequence annotations or inconsistent gene names, and there is a lack of a biological sequence standardization tool; ②Some of the existing The functions of biological sequence processing tools are relatively limited, and it is impossible to flexibly extract the required information and apply it to downstream analysis; ③ Biological data processing and phylogenetic workflow tools based on command line operations require biologists to spend extra time learning command line operations and programming knowledge, Therefore, it cannot be used universally; ④ There is a lack of tools to link biological data processing and phylogenetic analysis processes. The support for multi-gene joint tree building is not good, and it cannot adapt to the current trend of big data analysis and phylogenetics; Multi-file batch operation; ⑦The existing phylogenetic analysis process tools ignore the phylogenetic tree annotation or the annotation effect is not good, resulting in poor readability of the phylogenetic tree; ⑧Mitochondrial genome is the most commonly used organelle genome in phylogenetic analysis. There are no comprehensive bioinformatics analysis tools for this genome

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