Pinned Repositories
06MAIR_images
alphafold
Open source code for AlphaFold.
biotech-notebooks
Jupyter notebooks for biotechnology teaching
build_custom_BSgenome_TxDb
Build a custom BSgenome/TxDb R package
BV_p9
Biotecnología Vegetal - Práctica 9. Estudio de polimorfismos genéticos en todo el genoma y sus aplicaciones en mejora vegetal
ceiA3
condacolab
Install Conda and friends on Google Colab, easily
context-free-grammars
dca
Deep count autoencoder for denoising scRNA-seq data
gnlearn
Genetic Network Learning
rlebron-bioinfo's Repositories
rlebron-bioinfo/gnlearn
Genetic Network Learning
rlebron-bioinfo/alphafold
Open source code for AlphaFold.
rlebron-bioinfo/biotech-notebooks
Jupyter notebooks for biotechnology teaching
rlebron-bioinfo/BV_p9
Biotecnología Vegetal - Práctica 9. Estudio de polimorfismos genéticos en todo el genoma y sus aplicaciones en mejora vegetal
rlebron-bioinfo/ceiA3
rlebron-bioinfo/condacolab
Install Conda and friends on Google Colab, easily
rlebron-bioinfo/drawCell
R package to create cell pictures.
rlebron-bioinfo/dynbenchmark
Comparison of methods for trajectory inference on single-cell data 🥇
rlebron-bioinfo/ExOrthist
ExOrthist: a pipeline to extract exon orthologies at any evolutionary distance.
rlebron-bioinfo/flo
Same species annotation lift over pipeline.
rlebron-bioinfo/freebayes
Bayesian haplotype-based genetic polymorphism discovery and genotyping.
rlebron-bioinfo/galaxy_microRNA_tutorial
rlebron-bioinfo/genevalidator
GeneValidator: Identify problems with predicted genes
rlebron-bioinfo/gnlearn-api
gnlearn RESTful API
rlebron-bioinfo/gnlearn-datasets
gnlearn Datasets
rlebron-bioinfo/gnlearn-docker
gnlearn Docker Container
rlebron-bioinfo/GWAS
rlebron-bioinfo/jupyter-scvi
rlebron-bioinfo/nodag
structure recovery without imposing acyclicity
rlebron-bioinfo/nucleic-acid-calculator
A user-friendly web application for calculating the mass, moles, and molarity of genomic DNA and total RNA samples, built with HTML, CSS, and JavaScript using the Bootstrap framework.
rlebron-bioinfo/PanglaoDB
metadata and data from the database
rlebron-bioinfo/PoincareMaps
The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRNAseq data. However, existing techniques are based on Euclidean geometry which is not an optimal choice for modeling complex cell trajectories with multiple branches. To overcome this fundamental representation issue we propose Poincaré maps, a method harnessing the power of hyperbolic geometry into the realm of single-cell data analysis.
rlebron-bioinfo/rexmex
A general purpose recommender metrics library for fair evaluation.
rlebron-bioinfo/scGPT
rlebron-bioinfo/scVI
Deep generative modeling for single-cell transcriptomics
rlebron-bioinfo/springerQuarantineBooksR
Download all books made available by Springer during the COVID-19 quarantine!
rlebron-bioinfo/training-collection
Collection of bioinformatics training materials
rlebron-bioinfo/varitome
rlebron-bioinfo/vcf2pop
rlebron-bioinfo/Verdant
An experimental tool that stores and visualizes local versioning in JupyterLab