Bioinfomatics: Difference between revisions

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|status=Draft
|owner=Knowledge Agent
|last_update=2026-07-16
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== Overview ==
== Overview ==


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* 왜 필요한가? - HPC 및 서버 환경에서 필수 개념
* 왜 필요한가? - HPC 및 서버 환경에서 필수 개념
* 언제 사용하는가? - 서버 구성, 성능 튜닝, 문제 해결 시
* 언제 사용하는가? - 서버 구성, 성능 튜닝, 문제 해결 시


== Purpose ==
== Purpose ==
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* Scope: Bioinfomatics의 개념, 사용법, 설정
* Scope: Bioinfomatics의 개념, 사용법, 설정
* Non-goals: 다른 주제로의 확장
* Non-goals: 다른 주제로의 확장


== Key Concepts ==
== Key Concepts ==
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| [[Linux]], [[Server]]
| [[Linux]], [[Server]]
|}
|}


== Detailed Explanation ==
== Detailed Explanation ==
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* Tools for Cancer Genomics
* Tools for Cancer Genomics
** [https://www.genepattern.org/modules/docs/MutPanning#gsc.tab=0 MutPanning] is designed to detect rare cancer driver genes from aggregated
** [https://www.genepattern.org/modules/docs/MutPanning#gsc.tab=0 MutPanning] is designed to detect rare cancer driver genes from aggregated


== Best Practices ==
== Best Practices ==
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* 공식 문서 참고
* 공식 문서 참고
* 테스트 환경에서 먼저 검증
* 테스트 환경에서 먼저 검증


== References ==
== References ==


* [https://wiki.hpcmate.com Bioinfomatics]
* [https://wiki.hpcmate.com Bioinfomatics]


== Related Pages ==
== Related Pages ==
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* [[Hardware]]
* [[Hardware]]
* [[Network]]
* [[Network]]


[[Category:AI]]
[[Category:AI]]

Revision as of 13:22, 2 October 2026

Overview

Bioinfomatics에 대한 기술 문서입니다.

Summary

  • 무엇인가? - Bioinfomatics
  • 왜 필요한가? - HPC 및 서버 환경에서 필수 개념
  • 언제 사용하는가? - 서버 구성, 성능 튜닝, 문제 해결 시

Purpose

이 문서가 존재하는 이유

  • Goal: Bioinfomatics에 대한 기술 정보 제공
  • Scope: Bioinfomatics의 개념, 사용법, 설정
  • Non-goals: 다른 주제로의 확장

Key Concepts

Concept Description Related
Bioinfomatics HPC/서버 환경에서 중요한 기술 개념 Linux, Server

Detailed Explanation

Bioinfomatics

A combined technologies with biology, computer science, mathmatics and statistics. [1]

Bioinfomatics workflow steps

  1. quality control assessmemt steps
  2. sequence alignment
  3. data summarization into genes/regions
  4. data annotation to genomics features
  5. statistical comparisons
  6. mutltiomic ingetration

Bioinfomatics curated software list[2]

  • Package suites
  • Data Tools
    • Downloading
    • Compressing
  • Data Processing
    • Command Line Utilities
  • Next Generation Sequencing
    • Workflow Managers
    • Pipelines
    • Sequence Processing
    • Data Analysis
    • Sequence Alignment
      • Pairwise
      • Multiple Sequence Alignment
      • Clustering
    • Quantification
    • Variant Calling
      • Structural variant callers
    • BAM File Utilities
    • VCF File Utilities
    • GFF BED File Utilities
    • Variant Simulation
    • Variant Prediction/Annotation
  • Tools for Assessment of Variants
    • PolyPhen-2 is a tool for predicting the effect of an amino acid substitution on protein structure and function, based on comparative genomics and experimentally determined protein structures. It is available as a web service, and can also be downloaded as a standalone application.
    • SNPtrack is a simple interface for mutation mapping and identifying causal mutations from whole-genome sequencing studies. It is available as a web service.
  • Tools for Mass Spectrometry and Proteomics
    • MS-BLAST is a tool for searching protein sequences identified with tandem mass spectrometry against databases of protein sequences. It is available as a web service and as a standalone software.
  • Tools for Statistical Genetics
    • Joint Likelihood Mapping (JLIM) is a tool to test for shared genetic effect between two genetic association data, for example, a disease GWAS study and gene expression QTL (eQTL) study.
    • Joint Likelihood Mapping 2 (JLIM_2.0) is a version of JLIM which supports meta-analysis across more than one cohort of matching ancestry.
    • Joint Likelihood Mapping (JLIM) 2.5 is a new version of JLIM based on summary statistics.
    • NPS is a tool for polygenic risk scoring based on partitioning-based non-parametric shrinkage algorithm.
    • RVTT is a novel statistical test of trend that assesses the relationship of the frequency of qualifying rare variants in a pathway with dichotomous disease phenotypes leveraging the Cochran-Armitage test statistic.
  • Tools for Cancer Genomics
    • MutPanning is designed to detect rare cancer driver genes from aggregated

Best Practices

  • 최신 버전 사용 권장
  • 공식 문서 참고
  • 테스트 환경에서 먼저 검증

References

Related Pages

Knowledge Graph

Related

→ Linux → Server → Hardware → Network