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Name: Gerstein Lab
Type: Organization
Location: New Haven, CT
Name: Gerstein Lab
Type: Organization
Location: New Haven, CT
Gerstein Lab Personal Page
How the Gerstein lab can most effectively use Github
GRAM: A GeneRAlized Model to predict the molecular effect of a non-coding variant in a cell type-specific manner
Spectral and reproducibility analysis of Hi-C contact maps
idash19 solutions
Solution to iDASH'19 challenge track 1
Solution to track 1 of iDASH 2022 secure genome analysis competition
Solution to Track 2 of the 2023 iDASH competition
The package includes the MotifVar pipeline developed in the Gerstein Lab at Yale for the Intensification resource. This pipeline was used to generate SNV population-genetic profiles using a variety of public data sources, including SMART domain database, ExAC, Ensembl and VEP. Please see website for more detailed README. This is a SEMI-automated pipeline, where possible manual work can be done on a small number of modules to make your analyses more accurate or specific to your needs. These modules are highlighted in the README and motifvar.sh wrapper with -m.
Isoform quantification from RNA-seq data
Large-scale Analysis of Recurrent Variants in noncoding Annotations
Local Event-based analysis of alternative Splicing using RNA-Seq
Logistic regression fitting code designed for use with CUDA. Rather than speeding up the running time of a single regression, the code performs the regression in parallel on hundreds of samples.
Prediction of Active Enhancers and Promoters in a Cell type specific manner using shape matching of histone and/or DNase-I hypersensitivity profiles
MEDIQA-Chat-2023 GersteinLab solution
demo
The Official Repo of ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code (https://arxiv.org/abs/2311.09835)
Mutations Overburdening Annotations Tool
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