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The Ucar Lab's Projects

amulet icon amulet

A count based method for detecting doublets from single nucleus ATAC-seq (snATAC-seq) data.

atac-seq icon atac-seq

ATAC-seq Pipeline in conjunction with Duygu Ucar & Jacques Banchereau Laboratories

atac_seq_mm10 icon atac_seq_mm10

ATAC-seq data processing pipeline for mice datasets using mm10 genome

bifet icon bifet

A robust statistical test for TF footprint data analyses

doubletnn icon doubletnn

Classifying single cell doublets by using neural networks on UMIs, and HTO-GMM class labels

gregorhelper icon gregorhelper

Helper scripts for running multiple GREGOR analyses in parallel.

i-atac icon i-atac

A standalone software platform for the management and pre-processing of ATAC-seq samples

iasva icon iasva

Iteratively Adjusted Surrogate Variable Analysis

peas icon peas

Code repository for PEAS (Predict Enhancers from ATAC-seq), including feature extraction files and easy to use python script for training enhancer models and predicting enhancers using MLP Neural Networks.

snatac_alignmentaggregator icon snatac_alignmentaggregator

Aggregates alignments for single cell clusters to apply methods for bulk data. Also adjusts reads for the 9bp overhang.

v-sva icon v-sva

V-SVA: An R Shiny application for detecting and annotating hidden sources of variation in single cell RNA-seq data

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