Repositories
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ThermoNet
ThermoNet is a computational framework for quantitative prediction of the impact of single-point mutations on protein thermodynamic stability. The core algorithm of ThermoNet is an ensemble of deep 3D convolutional neural networks.
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scan-atac-sim
SCAN-ATAC Sim is a single-cell ATAC-seq data simulator used to benchmark various single-cell ATAC-seq data analysis methods.
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SVFX
Machine learning framework to quantify pathogenicity of structural variants
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Bay2Ctrls
Bayesian model to integrate two types of ChIP-seq controls for binding site detection
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idash19bc
Solution to iDASH'19 challenge track 1
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siglasso
Optimizing Cancer Mutation Signatures Jointly with Sampling Likelihood
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FANCY
Predicting privacy risk of functional genomics data
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starrpeaker
STARRPeaker: STARR-seq peak caller
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decoasthma
Code to reproduce the analyses described in the manuscript, "Approaches for integrating heterogeneous RNA-seq data reveals cross-talk between microbes and genes in asthmatic patients"
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esprnn
Forked from hoondy/esprnnESPRNN: Epigenome-based Splicing Prediction using Recurrent Neural Network
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idash19
idash19 solutions
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aloft
ALOFT, the Annotation Of Loss-of-Function Transcripts, provides extensive functional annotations to loss-of-function variants in the human genome.
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LESSeq
Local Event-based analysis of alternative Splicing using RNA-Seq
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texp
TeXP is a pipeline to gauge the autonomous transcription level of L1 subfamilies using short read RNA-seq data
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Evotum101
Modelling tumor progression from a single VCF file
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GRAM
GRAM: A GeneRAlized Model to predict the molecular effect of a non-coding variant in a cell type-specific manner
