ATA82

ATAC_Reprogramming_of_Fibroblasts

ATAC-Seq analysis. (Ali T. Abdallah)

ATAC_Seq_Xu

atacseq

ATAC-seq peak-calling, QC and differential analysis pipeline

chipseq

ChIP-seq peak-calling, QC and differential analysis pipeline.

HepaticInflammation_LipocalinNullMice

MotifSearcher

Here, we describe and provide an RNA-Seq analysis of a RIP assay to understand the mechanism of AML del(9q) progression. (Ali T. Abdallah)

PDGFRbKidneyModel_ATAC_and_RNASeq

salmon

🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment

scanpy

Single-cell analysis in Python. Scales to >1M cells.

scCODA

A Bayesian model for compositional single-cell data analysis

ATA82/ATAC_Seq_Xu

ATA82/ATAC_Reprogramming_of_Fibroblasts

ATAC-Seq analysis. (Ali T. Abdallah)

ATA82/atacseq

ATAC-seq peak-calling, QC and differential analysis pipeline

ATA82/chipseq

ChIP-seq peak-calling, QC and differential analysis pipeline.

ATA82/HepaticInflammation_LipocalinNullMice

ATA82/MotifSearcher

Here, we describe and provide an RNA-Seq analysis of a RIP assay to understand the mechanism of AML del(9q) progression. (Ali T. Abdallah)

ATA82/PDGFRbKidneyModel_ATAC_and_RNASeq

ATA82/salmon

🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment

ATA82/scanpy

Single-cell analysis in Python. Scales to >1M cells.

ATA82/scCODA

A Bayesian model for compositional single-cell data analysis

ATA82/targets

Function-oriented Make-like declarative workflows for R