michaelskaro,Michael Skaro,github

👋 Hi, I’m @michaelSkaro
👀 I’m interested in understanding cloud based bioinformatics. I have primarily worked on HPCs for past 8 years. I will be transitioning to primarily working in the cloud, this will present new challenges and opportunities for persoanl growth.
🌱 I’m currently learning Spatial-omics and implmenting massively paralleled Nextflow pipelines. A short term goal will be re-implement familiar workflows in a new domain specific language, containerize and deploy them on a kubernetes. Possible Youtube tutorial incoming 👀 ?
💞️ I’ve finished up loose ends projects for 2023 and will be limiting side projects in 2024. My inbox is always open but I will have limited time this year.
📫 How to reach me: I am available by email. [email protected] or check out my linked in and shoot me a message.

Michael Skaro's Projects

binf8500

All projects in this rep. were developed for the algorithms course at UGA

chest-xray-pneumonia-clasifier

Image classification project: https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia

classification_of_organotropic_metastases

Classification of organotropic metastases # Check out the wiki for model details # Check out the README for install

gatk-docs

Documentation archive for GATK tools and workflows

metNet is a deep learning model to classify the primary tumor of origin from cancers of unknown primary. This model is based on selected features from illumina 450k array data. The model can be applied to illumina EPIC array data for classification. This model has *not* been tested on EPICv2 data

michaelskaro

Config files for my GitHub profile.

mycorrhisee

Development space for the Image Segmentation project

neurospora_crassa_transcriptomics

Characterizing the gene-environment interaction underlying natural morphological variation in Neurospora crassa conidiophores using high-throughput phenomics and transcriptomics

nextflow_training

Training Exercises on Nextflow

on_origin_of_the_pandemic

A statistical frame work for using genomic sequencing data from Sars-Cov-2 data to estimate the timeline and evolution of the Covid-19 global pandemic

snakemake-amplicon-metagenomics

Command line bioinformatics workflows, created with Snakemake workflow management tool.

sparce

A software resource to split a genomics, methylomics or trasncriptomics file into bins and select features within the bins using recursive feature elimination and machine learning

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