Research workflow in BDSL using GitLab
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Single Cell Transcriptomics
Introduction Create R environment and install Seurat using Conda Create an environment for R based single cell transcriptomics analysis (Seurat) Install R Install Seurat package Register interactive R kernel Execute the following command in R to register interactive R kernel. Use JupyterNotebook to execute R
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Biomedical Data Analysis: mini-Projects
Introduction mini Project 1: practice to build a simpler database using a complex database (ChEMBL) Drug – target interaction Practice to model a small database (entity – relationship model) using Chembl data mini Project 2: organize your own data for research
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Example – data visualization
Matplotlib Matplotlib is a general library for plotting data. Scatter plot Bar plot Seaborn Seaborn allows more advanced data visualization, based on matplotlib library. Scatter plot Clustermap
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Example – machine learning
Linear Regression Load libraries Load data Divide datasets into training and testing sets Generate a model Machine learning (training): seek for the optimal parameters Make predictions Analyze models Visualize the results
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ENA Submission Guide
1. 계정 생성 💡 참고: 계정이 승인되면 “Webin ID” (예: Webin-XXXXXX) 형태의 사용자명이 발급되며,이후 모든 CLI 또는 웹 제출 시 인증용으로 사용된다. 2. 입력 절차 개요 3. Study 등록 💡 Study Accession은 이후 Sample 및 Run 제출 시 반드시 필요하다. 4. Sample 등록 컬럼명 설명 tax_id Taxonomy id (예: 408170) project name Study 이름 (예: SNUH-IBD) sample_alias 고유
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Introduction to next generation sequencing
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