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Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
The labyrinth king judges your gene models.
Genome scaffolding based on HiC data in heterozygous and high ploidy genomes
lucventurini / mikado
Forked from EI-CoreBioinformatics/mikadoMikado is a lightweight Python3 pipeline whose purpose is to facilitate the identification of expressed loci from RNA-Seq data and to select the best models in each locus.
Wavefront alignment algorithm (WFA): Fast and exact gap-affine pairwise alignment
Deep learning infrastructure for genomics
Monet: An open-source Python package for analyzing scRNA-Seq data using PCA-based latent spaces
Statistical power studies for multi-omics experiments.
Awesome free machine learning and AI courses with video lectures.
A collection of various deep learning architectures, models, and tips
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
Clair: Exploring the limit of using deep neural network on pileup data for germline variant calling
fast BAM/CRAM depth calculation for WGS, exome, or targeted sequencing
HiCExplorer is a powerful and easy to use set of tools to process, normalize and visualize Hi-C data.
De novo clustering of long transcript reads into genes
Ultrafast consensus module for raw de novo genome assembly of long uncorrected reads
SUPPA: Fast quantification of splicing and differential splicing
Transcript assembly and quantification for RNA-Seq
De novo assembler for single molecule sequencing reads using repeat graphs
Genome assembly soft-masking using Red (REpeat Detector)
Open workflow definitions for genomic analysis from MGI at WUSM.