A Biodiversity Automatic Analysis Method

Abstract

The invention discloses an automatic analysis method for biological diversity. The specific analysis steps are as follows: Step 1: 24 pairs of primers, including the sequence matched with the illumina sequencing chip, 8-base index sequence, sequencing primer sequence, difference sequence, universal amplification Increase the primer sequence, obtain the library for sequencing on the machine through PCR reaction, and select the corresponding sequencing mode; Step 2: convert the off-machine data into fastq format by bcl2fastq software, and add the parameter "‑create‑fastq‑for‑index‑reads"; Step 3: Use the Phred algorithm to intercept low-quality sequences through the filtering software BBDuk package; Step 4: Use the script in the QIIME package to perform secondary filtering on the spliced ​​Tags sequences. The invention compresses the project cycle, improves the database building method, data filtering method and software, effectively reduces the analysis deviation caused by chimeras and sequencing errors, and, even due to the microbial diversity project, can also be filtered into cleantags from data production The process is done in a unified manner, without distinguishing each item, which saves processing time.

Description

technical field [0001] The invention relates to the field of biological diversity analysis, in particular to an automatic analysis method for biological diversity. Background technique [0002] For the microbial diversity analysis project, the number of samples is large, the library construction period is long, the data volume of each sample is unbalanced, the filtering standards are different, and chimeras will appear during the polymerase chain reaction (PCR), which is easy to affect subsequent analysis. Moreover, as the amount of microbiological analysis data continues to increase and the standard analysis process is becoming more mature, it has become a challenge to analyze the standard process in an innovative, fast, efficient, and visualized way, and to conduct more in-depth personalized analysis. [0003] Therefore, it is necessary to invent an automatic analysis method of biodiversity to solve the above problems. Contents of the invention [0004] The purpose of t...

AI Technical Summary

Problems solved by technology

[0002] For the microbial diversity analysis project, the number of samples is large, the library construction period is long, the data volume of each sample is unbalanced, the filtering standards are different, and chimeras will appear during the polymerase chain reaction (PCR), which is easy to affect subsequent analysis. Moreover, as the amount of microbial analysis data continues to increase and the standard analysis process is becoming more mature, it has become a challenge to analyze the standard process in an innovative, fast, efficient, and visualized way, and to conduct in-depth personalized analysis.

Images