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🚀 LiftOn: Accurate annotation mapping for GFF/GTF across assemblies
Adjusted basenji2 model for plant gene expression level prediction
code to run EPInformer for gene expression prediction and gene-enhancer links prioritization
predicting expression effects of human genome variants ab initio from sequence
ExplaiNN: interpretable and transparent neural networks for genomics
"Improving representations of genomic sequence motifs in convolutional networks with exponential activations" by Koo and Ploenzke (https://doi.org/10.1101/2020.06.14.150706)
deep learning-based approach for synthetic enhancer design
Sequential regulatory activity predictions with deep convolutional neural networks.
Machine learning methods for DNA sequence analysis.
RNA-seq prediction with deep convolutional neural networks.
https://www.biorxiv.org/content/10.1101/2023.07.03.547592v2
Deep learning the cis-regulatory code for gene expression in selected model plants
Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
VCF2Dis: A new simple and efficient software to calculate p-distance matrix and construct population phylogeny based Variant Call Format
This repository contains implementations and illustrative code to accompany DeepMind publications
Python library to identify Identical By State regions
RAP is a rank aggregation-based data fusion approach for gene prioritization in plants. It can be used to perform the gene prioritization in Arabidopsis thaliana and 28 non-plant species. The input…
deepEA: a containerized web server for interactive analysis of epitranscriptome sequencing data
DeepGS is a R package for predicting phenotypes from genotypes using deep learning techniques.
deepTS explores transcriptional switch events from pairwise, temporal and population transcriptome data.
my code from working through Zed Shaw's book
BamDeal: a comprehensive toolkit for bam manipulation
国家自然科学基金申请书正文（面上项目）LaTeX 模板（非官方）