Hyunmin Kim (Brandon) (hmkim)

hmkim

Geek Repo

Company:AWS

Location:Seoul, Republic of Korea

Home Page:https://hmkim.github.io/

Twitter:@hellops

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Hyunmin Kim (Brandon)'s repositories

hmkim.github.io

Introduce bioinformatics software based on github

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aws-healthimaging-samples

Sample projects on working with AWS HealthImaging, an AWS service that allows you to store, analyze, and share medical images in the cloud at petabyte scale.

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aws-parallelcluster-user-guide

The open source version of the AWS ParallelCluster User Guide.

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bioconda-recipes

Conda recipes for the bioconda channel.

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cloud-automation

Automation for standing up Gen3 commons

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demultiplex

Sequana demultiplexing pipeline

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docker-oneshot

Rstudio + Rpy2 + Jupyter

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eks-workshop-sample-api-service-go

Sample Kubernetes service used in the EKS Workshop CI/CD CodePipeline module

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emr-serverless-hail

Run Hail using Amazon EMR Serverless

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fq2vcf

Bash scripts for fastq to vcf pipeline, written for USyd Artemis HPC.

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ga4gh-wes-on-aws-healthomics

GA4GH WES on AWS HealthOmics enables customers to use GA4GH WES with AWS HealthOmics Workflows. This allows easy migration for GA4GH WES applications to use the computing scale, predictable pricing, and built-in security and compliance provided by AWS HealthOmics Workflows.

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guidance-for-multi-modal-data-analysis-with-aws-health-and-ml-services

An end-to-end framework for storing, integrating, and analyzing multimodal HCLS data on AWS, using AWS HealthOmics, AWS HealthLake, AWS HealthImaging, Amazon SageMaker, Amazon Athena, Amazon QuickSight, and Amazon S3.

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guidance-for-multi-omics-and-multi-modal-data-integration-and-analysis-on-aws

This guidance creates a scalable environment in AWS to prepare genomic, clinical, mutation, expression and imaging data for large-scale analysis and perform interactive queries against a data lake. The solution also demonstrates the use of Amazon Omics for multi-modal analysis.

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hail

Cloud-native genomic dataframes and batch computing

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istio

Connect, secure, control, and observe services.

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MultiQC

Aggregate results from bioinformatics analyses across many samples into a single report.

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nf-core-koreaworkshop

AWS nextflow workshop for the 19th Korean Genome Organization (KOGO) Winter Symposium (Jan 31. - Feb 1.)

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ngsperl

NGS perl modules

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quickstart-hail

Hail on AWS EMR Sample

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rna-seq-star-deseq2

RNA-seq workflow using STAR and DESeq2

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sm-kornlp

A collection of Korean NLP hands-on labs on Amazon SageMaker

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snakemake-aws-parallelcluster-slurm

Snakemake 8 profile for running on AWS ParallelCluster with the Slurm scheduler

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sv-docker

structural variant analysis tools in dockerfile

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training

Nextflow training material

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vep-lambda

AWS lambda for Ensembl VEP

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wgs_std_viper

Simple workflow to map WGS data to reference genome according to GATK best practices

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