Titlebook: Genome Data Analysis; Ju Han Kim Textbook 2019 Springer Nature Singapore Pte Ltd. 2019 Genome data analysis.Bioinformatics.Practice in dat

积习难改

代替

Next-Generation Sequencing Technology and Personal Genome Data Analysis various annotation and detection methods of SNP/InDel from the obtained sequences. This chapter describes the difference in analytical methods between common variants and rare variants, and an analysis approach using biological pathways, pharmacogenomics, and information of racial differences using The 1000 Genomes Project Data.

opinionated

Personal Genome Interpretation and Disease Risk Predictiond variants. A number of software programs have been developed to identify statistically significant and clinically relevant SNPs, predict disease risk, and identify disease-related rare variants. This chapter introduces various bioinformatics resources used for the interpretation of personal genomic data.

Talkative

Gene Ontology and Biological Pathway-Based Analysista. Analysis requires one to have a thorough understanding of basic biology. We will go over gene sets used to interpret data as well as analyzing data. DAVID, ArrayXPath are two apparatuses used to gather fundamental biological interpretation using gene sets given. BioLattice is also designed to analyze the results of the data given.

BRUNT

grandiose

Motif and Regulatory Sequence Analysisenetic tree analysis (3) prediction of transcription factor and microRNA (miRNA) binding sites involved in gene regulation (4) visualization and exploration of sequence annotations using a genome browser.

mutineer

Biological Network Analysising based on existing publications. We will analyze evolutionary distance and connectivity so that we need to confirm that the protein interaction network is a scale-free network and hub genes are evolutionarily old proteins.

OMIT

978-981-13-1941-9Springer Nature Singapore Pte Ltd. 2019

Brochure

有法律效应

Das Konzept der dysfunktionalen Kognitionen,o diseases or drug responses by mapping with the pharmacogenomics knowledge base or biological pathways, and (5) practicums for acquiring and using allele frequencies among races based on public data of the 1000 genomes project.