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Cloud computation-based biological information analysis platform

A cloud computing platform and bioinformatics technology, applied in the field of bioinformatics analysis, can solve the problems of multiple analysis software, cumbersome construction, and low degree of automation, and achieve the effects of improving analysis efficiency, saving platform resources, and high degree of automation

Active Publication Date: 2018-10-23
武汉生物样本库有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Its purpose is to solve the technical problems of cumbersome construction of the current bioinformatics analysis platform, serious waste of resources, large amount of analysis data and a large number of analysis software, complex connection and configuration between software, and manual analysis of data, resulting in low analysis efficiency and low degree of automation

Method used

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  • Cloud computation-based biological information analysis platform
  • Cloud computation-based biological information analysis platform
  • Cloud computation-based biological information analysis platform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] The bioinformatics analysis platform includes bacterial genome standard and advanced automated analysis sub-platforms, and the bioinformatics analysis using the sub-platforms includes: methylation analysis, tandem repeat and scattered repeat sequence analysis, secondary metabolic gene cluster analysis, non- Coding RNA analysis, transposon analysis, single nucleotide polymorphism analysis, Indel and SV analysis, different genome collinearity analysis, genome island analysis, gene structure analysis of coding protein, prediction analysis of effector protein, carbohydrate activity enzyme analysis , Predictive analysis of drug resistance genes, predictive analysis of pathogen-host interaction, predictive analysis of virulence factors of bacterial pathogens, predictive analysis of structural domains, predictive analysis of TrEMBL database functions, functional annotation analysis of GO databases, and functional analysis of COG databases Predictive analysis, predictive analysi...

Embodiment 2

[0066] The bioinformatics analysis platform includes fungal genome standard and advanced automated analysis sub-platforms, and the bioinformatics analysis using the sub-platforms includes: methylation analysis, tandem repeat and scattered repeat sequence analysis, secondary metabolic gene cluster analysis, non- Coding RNA analysis, single nucleotide polymorphism analysis, Indel and SV analysis, different genome collinearity analysis, coding protein gene structure analysis, effector protein prediction analysis, carbohydrate activity enzyme analysis, structural domain prediction analysis, TrEMBL database Function prediction analysis, GO database function annotation analysis, COG database function prediction analysis, NR database function prediction analysis, gene family prediction analysis.

[0067] In this embodiment, the user inputs the original sequencing data of the fungal genome on the computer side, and the sub-platform automatically executes the analysis process and obtain...

Embodiment 3

[0086] The bioinformatics analysis platform includes a standard automatic analysis sub-platform with reference to the full-length transcriptome, and the bioinformatics analysis performed using the sub-platform includes: full-length transcriptome analysis, fusion gene analysis, alternative splicing analysis, lncRNA prediction analysis , CDS and protein sequence prediction analysis, simple repeat sequence prediction analysis, TrEMBL database function prediction analysis, COG database function prediction analysis, NR database function prediction analysis, structural domain prediction analysis, GO database function annotation analysis, SwissProt Predictive analytics for databases.

[0087] In this embodiment, the user inputs the original transcriptome sequencing data on the computer side, and the sub-platform automatically executes the analysis process and obtains the result report. The flow charts of the above analyzes are as follows: Image 6 Shown:

[0088] 1. Input the origin...

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Abstract

The invention discloses a cloud computation-based biological information analysis platform. The biological information analysis platform comprises a computer, a cloud server and a cloud computation platform, wherein the cloud server is in communication connection with the computer; the cloud computation platform carries out data interaction with the cloud server through a webpage server; the cloudcomputation platform comprises a user interface module which is used for user login and visual operations, an uploading and management module which is used for uploading and management of data and databases and a project management module which is use for creation, check, edition, process management and output of biological information analysis projects; and the biological information analysis platform a plurality of sub-platforms which are mutually independent. By utilizing the biological information analysis platform, the researchers only need to input original sequencing data, automatic process analysis is carried out by the platform, and finally, corresponding result files and result reports are directly generated, so that the analysis efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of biological information analysis, in particular to a cloud computing-based biological information analysis platform. Background technique [0002] Cloud computing is an emerging business computing model. It distributes computing tasks on a resource pool composed of a large number of computers called cloud servers, enabling various application systems to obtain computing power, storage space, and various software services as needed. Cloud servers centralize all computing resources and are automatically managed by software without human participation. This enables application providers to focus more on their business without worrying about tedious details, which is conducive to innovation and cost reduction. Moreover, when using a computer to solve a problem, the user starts the computer to input the prepared computer program, and the computer can automatically execute it without the user's direct interven...

Claims

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Application Information

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IPC IPC(8): G06F19/28G06F19/24G06F19/18
CPCG16B20/00G16B40/00G16B50/00
Inventor 郭静杨帆付爱思丁琼王邹辜家爽章高迪郝升丁悦
Owner 武汉生物样本库有限公司
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