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Metagenome (Rapid analysis)

Product Introduction

Metagenomic sequencing is a study that focuses on the overall microbial community in a specific environment. It breaks free from the technical limitations of difficult isolation and cultivation of microorganisms, and only requires the extraction of total DNA from all microorganisms in the sample for sequencing.
To this day, the large number of samples and the development of multi omics have generated massive amounts of data, making it increasingly difficult to control the pressure of data analysis and the overall project cycle. Cloud computing, through parallel computation of hundreds or thousands of subtasks, combined with task scheduling and resource optimization integration technology, can effectively compress the analysis cycle, greatly improving work efficiency and reliability.

Six Major Analysis Processes

Provide sequencing data (in fastq format), option Analysis Process

(1)Quality control

(2)Assembly

(3)Quality control → Assembly

(4)Quality control → Assembly → Gene Prediction and Quantification

(5)Quality control → Assembly → Gene Prediction and Quantification → Species and Functional Annotation

(6)Quality control → Assembly → Gene Prediction and Quantification → Species and Functional Annotation → Statistical Analysis (Entire Process)

Product Advantages

Step flexibility self selection, ultimate cycle;
Massive computing resources: totaling over 2,000,000 cores, available for immediate access;
Process quality: The process and database are updated every six months, and scientific research results are reflected in Nature/Science/Cell/NC/PNAS;
Service quality: Magigene+Huawei team of experts in omics and cloud computing, providing point-to-point communication services.

Cycle

Process Type	Number of Samples
	＜30	30-50	50-100
	Cycle (Day)
Quality Control	2	3	3
Assembly	3	4	5
Quality Control+Assembly	4	5	7
Quality Control+Assembly+Gene Prediction and Quantification	4	6	9
Quality Control+Assembly+Gene Prediction and Quantification+Species and Functional Annotation	5	8	11
Quality Control+Assembly+Gene Prediction and Quantification+Species and Functional Annotation+Statistical Analysis (Entire Process)	6	9	13

Note: This cycle saves 2/3 compared to similar enterprises!

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