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Bioinformatics Analysis Table of Contents

Recommended Articles : 【Biology】 Bioinformatics, 【Algorithms Index】 Algorithms

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This is an article written based on my work experience working in the field of bioinformatics for three years.

Ⅰ. Background Theory

Bioinformatics

Sequencing Technology

Kaplan-Meier Survival Curves

Ⅱ. Prerequisites

Statistics

Algorithms

Introduction to Computer Science

Table of Contents for C

Table of Contents for C++

Table of Contents for Java

Table of Contents for Python

RStudio Table of Contents

Linux Server

Windows Server

NAS

MinIO

docker

Ⅲ. Data Acquisition and Processing

Understanding FASTQ, FASTA, GTF, GFF Files

RNA Sequencing Quality Control (QC)

HDF Files and filtered_feature_bc_matrix.h5

Obtaining TCGA Data

Web Scraping Example

Ⅳ. Data Analysis

Bioinformatics RStudio Useful Functions Collection

Bioinformatics Python Useful Functions Collection

Collection of Python Functions for Organic Chemistry

Transcriptomics Pipeline

Obtaining DEGs in Bulk RNA-seq (DESeq2, t-test, ANOVA)

Cell Type Classification Pipeline

Determining Cell Types with Seurat

Determining Cell Types with scater

Determining Cell Types with scanpy

Comparison between Seurat and scanpy

Ligand-Receptor Interaction Analysis

Understanding and Running MIA

Understanding and Running RCTD

Understanding and Running XFuse

Bioinformatics and Language Models

Ⅴ. Data Visualization

Python App Library

HTML App Library

Ⅵ. Appendix

Molecule Library

Gene Library

Gene Score Library

Cell Type Marker Genes

Organism Library

Disease Library

Bioinformatics Notes

Input : 2022.07.20 19:28

Modification : 2023.06.16 11:42