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zorrodong's Projects

sip icon sip

SIP, a Single-cell Interchangeable Pipeline, still under construction

slicer icon slicer

SLICER algorithm for inferring cell trajectories. See details in Welch et al., Genome Biology 2016: http://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0975-3

slingshot icon slingshot

Functions for identifying and characterizing continuous developmental trajectories in single-cell data.

snapatac icon snapatac

Single Nucleus Analysis Pipeline for ATAC-seq

snare_prep icon snare_prep

dropseq-based single nuclei genomic accessibility and RNA expression (SNARE-seq) preprocessing pipeline

snrna-seq2_young icon snrna-seq2_young

Analysis of snRNA-seq2 data coming from 3 months old mouse liver, dissecting the influence ploidy has on gene expression.

somaticseq icon somaticseq

An ensemble approach to accurately detect somatic mutations using SomaticSeq

soupr icon soupr

SOUP, for Semi-sOft clUstering with Pure cells.

sscclust icon sscclust

simpler single cell RNAseq data clustering

steinernet icon steinernet

R Package: Steiner Tree Approach for Graph Analysis

steinernet-1 icon steinernet-1

:exclamation: This is a read-only mirror of the CRAN R package repository. SteinerNet — Steiner Tree Approach for Graph Analysis. Homepage: https://github.com/krashkov/SteinerNet Report bugs for this package: https://github.com/krashkov/SteinerNet/issues

swne icon swne

Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets

texomer icon texomer

Texomer: Integrating Analysis of Cancer Genome and Transcriptome Sequencing Data

tn_test icon tn_test

post-clustering differential expression test

trait icon trait

Source code and input data to reproduce the case studies presented in the TRaIT framework: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2795-4

treeexp icon treeexp

TreeExp 2.0: Toolbox for analyzing expression evolution based on RNA-seq count data

tximport icon tximport

Import and summarize transcript-level estimates for gene-level analysis

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