ggabernet Goto Github PK
Name: Gisela Gabernet
Type: User
Bio: Associate Research Scientist in the Kleinstein Lab at Yale School of Medicine
Location: New Haven, CT
Name: Gisela Gabernet
Type: User
Bio: Associate Research Scientist in the Kleinstein Lab at Yale School of Medicine
Location: New Haven, CT
Fork of matsengrp/bcr-phylo-benchmark
Conda recipes for the bioconda channel.
Random scripts for pre-processing bioinformatics data
UNDER CONSTRUCTION: Nextflow pipeline for executing Cell Ranger
A generic github action for conducting scientific QC benchmarks.
Automated quantitative analysis of DIA proteomics mass spectrometry measurements.
Test pipeline created with the nf-core DSL2 template
A bioinformatics best-practice analysis pipeline for epitope prediction and annotation
My personal website
QBiC's metadata model specification
CPU and GPU deterministic and therefore fully reproducible machine learning pipelines using MLflow.
Python package for peptide sequence generation, peptide descriptor calculation and sequence analysis.
Data analysis QMKMK-clad
Testing building mulled containers for multi-requirement tools.
Please use the original pipeline http://github.com/nf-core/airrflow
ATAC-seq peak-calling, QC and differential analysis pipeline
CloudFormation templates to setup the aws megatests necessary cloud infrastructure
Config files used to define parameters specific to compute environments at different Institutions.
nf-core differentialabundance fork
A fully reproducible and state-of-the-art ancient DNA analysis pipeline
Precision HLA typing from next-generation sequencing data
Assembly and binning of metagenomes
Identify and quantify MHC eluted peptides from mass spectrometry raw data
Repository to host tool-specific module files for the Nextflow DSL2 community!
UNDER CONSTRUCTION - Proteomics label-free quantification (LFQ) analysis pipeline
RNA sequencing analysis pipeline using STAR, HISAT2 and Salmon with gene counts and quality control
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.