SoCRA Certification Exam

RAPTIC Learning Session

Neuroscience Research Institute 2nd Annual Translational Short Course

Clinical and Translational Science Research Program Proposal Ideation Workshop

Clinical and Translational Science Research Program Information Session

Bioinformatics Data Analysis Pipeline- Omics Experimental Design

POWSC

A simulation-based method, to provide power evaluation and sample size recommendation for single-cell RNA-sequencing DE analysis.
Reference: PMID: 32614380
Contact: Qin Ma
SCOPIT

A sample size calculator for single-cell sequencing experiments regarding cell subpopulation identification.
Reference: PMID: 31718533
Contact: Qin Ma
RNASeqPower

Power analysis for bulk RNA-seq data.
Reference: PMID: 23961961
Contact: Qin Ma
ssizeRNA

Power analysis for bulk RNA-seq data.
Reference: PMID: 27029470
Contact: Qin Ma

Bioinformatics Data Analysis Pipeline- Pathway Analysis

IPA

Visualize complex ‘omics data, perform insightful data analysis and interpret your experimental results in the context of biological systems.
Reference: PMID: 24336805
Contact: Qin Ma
clusterProfiler

R Package for Comparing Biological Themes Among Gene Clusters
Reference: PMID: 22455463
Contact: Qin Ma
Gene Set Enrichment Analysis

A computational method that determines whether an a priori defined set of genes shows statistically significant, concordant differences between two biological states.
Reference: PMID: 16199517
Contact: Qin Ma

Bioinformatics Data Analysis Pipeline- Other Bioinformatics Analyses

miRDeep2

Discovers active known or novel miRNAs from deep sequencing data.
Reference: PMID: 21911355
Contact: Qin Ma
Juicer

A platform for analyzing kilobase resolution Hi-C data. In this distribution, we include the pipeline for generating Hi-C maps from fastq raw data files and command line tools for feature annotation on the Hi-C maps.
Reference: PMID: 27467249
Contact: Qin Ma
QIIME2

Next-generation microbiome bioinformatics platform that is extensible, free and open source.
Reference: PMID: 32343490
Contact: Qin Ma
Transcriptome Analysis Console

QC, normalization, and differential expression of affymetrix microarray data.
Contact: Qin Ma
XCMS

An R package which provides a framework for processing LC/MS spectral data.
Reference: PMID: 16448051
Contact: Qin Ma
CAMERA

An R package which provides collection of annotation related methods for mass spectrometry data.
Reference: PMID: 22111785
Contact: Qin Ma
Parse Biosciences Pipeline

Data analysis software package for Parse data.
Contact: Qin Ma

Bioinformatics Data Analysis Pipeline- Spatial Transcriptomics

Space Ranger

Space Ranger is a set of analysis pipelines that process 10x Genomics Visium data with brightfield or fluorescence microscope images, allowing users to map the whole transcriptome in a variety of tissues. Space Ranger v3.0 now supports Visium HD.
Reference: PMID: 28091601
Contact: Qin Ma
BayesSpace

A fully Bayesian statistical method that uses the information from spatial neighborhoods for resolution enhancement of spatial transcriptomic data and for clustering analysis.
Reference: PMID: 34083791
Contact: Qin Ma
SPRUCE

A Bayesian spatial multivariate finite mixture model based on multivariate skew-normal distributions, which is capable of identifying distinct cellular sub-populations in HST data.
Reference: PMID: 35895854
Contact: Qin Ma
SpaGCN

A graph convolutional network approach that integrates gene expression, spatial location and histology in SRT data analysis. Through graph convolution, SpaGCN aggregates gene expression of each spot from its neighboring spots, which enables the identification of spatial domains with coherent expression and histology.
Reference: PMID: 34711970
Contact: Qin Ma
SPARK-X

A non-parametric method for rapid and effective detection of spatially expressed genes in large spatial transcriptomic studies.
Reference: PMID: 34154649
Contact: Qin Ma
RCTD

A computational method that leverages cell type profiles learned from single-cell RNA-seq to decompose cell type mixtures in spatial transcriptomic while correcting for differences across sequencing technologies.
Reference: PMID: 33603203
Contact: Qin Ma
CARD

A deconvolution method that combines cell-type-specific expression information from single-cell RNA sequencing (scRNA-seq) with correlation in cell-type composition across tissue locations.
Reference: PMID: 35501392
Contact: Qin Ma
SpaTalk

A graph network and knowledge graph to model and score the ligand-receptor-target signaling network between spatially proximal cells by dissecting cell-type composition through a non-negative linear model and spatial mapping between single-cell transcriptomic and spatially resolved transcriptomic data.
Reference: PMID: 35908020
Contact: Qin Ma
COMMOT

It can infer cell–cell communication in spatial transcriptomics, which accounts for the competition between different ligand and receptor species as well as spatial distances between cells.
Reference: PMID: 36690742
Contact: Qin Ma

Bioinformatics Data Analysis Pipeline- Single Cell RNA-Seq

Cell Ranger

A set of analysis pipelines that perform sample demultiplexing, barcode processing, single cell 3' and 5' gene counting, V(D)J transcript sequence assembly and annotation and Feature Barcode analysis from single cell data.
Reference: PMID: 28091601
Contact: Qin Ma
Seurat

Seurat is an R package designed for QC, analysis, and exploration of single-cell RNA-seq data. Seurat aims to enable users to identify and interpret sources of heterogeneity from single-cell transcriptomic measurements and to integrate diverse types of single-cell data.
Reference: PMID: 37231261
Contact: Qin Ma
Monocole3

An unsupervised algorithm to infer transcriptome dynamics of a temporal process such as cell differentiation using single-cell RNA-Seq data.
Reference: PMID: 24658644
Contact: Qin Ma
Slingshot

A method for inferring cell lineages and pseudotimes from single-cell gene expression data.
Reference: PMID: 29914354
Contact: Qin Ma
SingleR

A computational framework for the annotation of scRNA-seq by reference to bulk transcriptomes.
Reference: PMID: 30643263
Contact: Qin Ma
ScType

A fully-automated and ultra-fast cell-type identification based solely on a given scRNA-seq data, along with a comprehensive cell marker database as background information.
Reference: PMID: 35273156
Contact: Qin Ma
Azimuth

A web application that uses an annotated reference dataset to automate the processing, analysis and interpretation of a new single-cell RNA-seq or ATAC-seq experiment.
Reference: PMID: 31178118
Contact: Qin Ma
Scanpy

A scalable toolkit for analyzing single-cell gene expression data. It includes preprocessing, visualization, clustering, trajectory inference and differential expression testing.
Reference: PMID: 29409532
Contact: Qin Ma
Harmony

An algorithm that projects cells into a shared embedding in which cells group by cell type rather than dataset-specific conditions.
Reference: PMID: 31740819
Contact: Qin Ma
MAGIC

A method that shares information across similar cells, via data diffusion, to denoise the cell count matrix and fill in missing transcripts.
Reference: PMID: 29961576
Contact: Qin Ma
CellChat

A tool that is able to quantitatively infer and analyze intercellular communication networks from single-cell RNA-sequencing (scRNA-seq) data
Reference: PMID: 33597522
Contact: Qin Ma
IRIS3

A web server for active regulons within a specific cell type, i.e., cell-type-specific regulons (CTSR), inference from scRNA-Seq data for human and mouse
Reference: PMID: 32421805
Contact: Qin Ma
ScGNN

scGNN (single-cell graph neural network) can provide a hypothesis-free deep learning framework for scRNA-Seq analyses. scGNN provides an effective representation of gene expression and cell–cell relationships. It is also a powerful framework that can be applied to general scRNA-Seq analyses.
Reference: PMID: 33767197
Contact: Qin Ma

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