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Genome Analysis

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De Novo seq. & analysis

Overview

De novo seq. & analysis is a method used for the analysis of genome sequence of species with no reference genome. Genome sequence assembly is carried out using the DNA reads generated from the next-generation sequencing technology which is followed by consequent analysis on genetic information. Gene, repeated sequence and other genomic information are identified through various statistics as well as data mining model of completed base sequence.

Workflow

A.차세대 염기서열 분석과정/B.염기서열 조립 과정/C.유전자 및 구조 분석 및 참조유전체 서열 완성과정

Characteristics

STRENGTH
Analysis without reference genome
Generation of new biological information
Preoccupancy of new genetic information
OPPORTUNITY
Basic for bioinformatics research
Enable research of various species

Reseq. & analysis

Overview

Resequencing & analysis can be used to detect genetic difference based on known reference genome. It confirms the genetic information of a target species by aligning DNA reads generated from NGS technology to the reference genome. SNP, InDel, CNV and etc can be analysed using this method.

Workflow

A. 차세대 염기서열 분석과정/B.참조유전체 서열을 이용한 염기서열 정렬과정/C.개체변이 획득 및 생물 통계 분석과정

Characteristics

STRENGTH
Fast generation of genome information
High resolution screening of variants
OPPORTUNITY
Genetic disease prediction and diagnosis
Personalized medicine
Population-specific genetic analysis
Discovery of useful gene
Analysis of evolution and demographics
Population genetics for Animal, plant sarcoma and etc

Exome seq. & analysis

Overview

Exome seq. & analysis is used to sequence DNA from gene using NGS technology. Since the proportion of exon Is only 1~2% in whole genome, exome sequencing is a cheaper option to effectively analyze variant information compared to the whole genome sequencing.

Workflow

※ A. 차세대 염기서열 분석과정   /   B.참조유전체 서열을 이용한 염기서열 정렬과정  /   C.개체변이 획득 및 생물 통계 분석과정

Characteristics

STRENGTH
Cheaper cost
Fast analysis
Generation of High depth data
OPPORTUNITY
Application to the genome of rare diseases
Genetic disease prediction and diagnosis
Personalized medicine
Population-specific genetic analysis
Discovery of useful gene
Analysis of evolution and demographics

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