Protocols-4pubMulti-omics analysis protocols by Lyu.
Stars: ✭ 37 (+85%)
PECAPECA is a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data
Stars: ✭ 31 (+55%)
reg-genRegulatory Genomics Toolbox: Python library and set of tools for the integrative analysis of high throughput regulatory genomics data.
Stars: ✭ 64 (+220%)
dolphinnextA graphical user interface for distributed data processing of high throughput genomics
Stars: ✭ 92 (+360%)
ALPSAnaLysis routines for ePigenomicS data - 🏫 Bioconductor project
Stars: ✭ 13 (-35%)
haystack bioHaystack: Epigenetic Variability and Transcription Factor Motifs Analysis Pipeline
Stars: ✭ 42 (+110%)
chromVARchromatin Variability Across Regions (of the genome!)
Stars: ✭ 116 (+480%)
CD4-csawReproducible reanalysis of a combined ChIP-Seq & RNA-Seq data set
Stars: ✭ 16 (-20%)
scATAC-proA comprehensive tool for processing, analyzing and visulizing single cell chromatin accessibility sequencing data
Stars: ✭ 63 (+215%)
HMMRATACHMMRATAC peak caller for ATAC-seq data
Stars: ✭ 86 (+330%)
CENTIPEDE.tutorial🐛 How to use CENTIPEDE to determine if a transcription factor is bound.
Stars: ✭ 23 (+15%)
ORNAFast in-silico normalization algorithm for NGS data
Stars: ✭ 21 (+5%)
atacrAnalysing Capture Seq Count Data
Stars: ✭ 14 (-30%)
dropPipeline to find aberrant events in RNA-Seq data, useful for diagnosis of rare disorders
Stars: ✭ 69 (+245%)
DEGreportCreate a cromphensive report of DEG list coming from any analysis of RNAseq data
Stars: ✭ 18 (-10%)
MINTIEMethod for Identifying Novel Transcripts and Isoforms using Equivalence classes, in cancer and rare disease.
Stars: ✭ 24 (+20%)
CellOCellO: Gene expression-based hierarchical cell type classification using the Cell Ontology
Stars: ✭ 34 (+70%)
picardmetrics🚦 Run Picard on BAM files and collate 90 metrics into one file.
Stars: ✭ 38 (+90%)
Whippet.jlLightweight and Fast; RNA-seq quantification at the event-level
Stars: ✭ 85 (+325%)
pipeline-pinfish-analysisPipeline for annotating genomes using long read transcriptomics data with pinfish
Stars: ✭ 27 (+35%)
Subread to DEXSeqScripts to import your FeatureCounts output into DEXSeq
Stars: ✭ 23 (+15%)
dropClustVersion 2.1.0 released
Stars: ✭ 19 (-5%)
gene-oracleFeature extraction algorithm for genomic data
Stars: ✭ 13 (-35%)
kanaSingle cell analysis in the browser
Stars: ✭ 81 (+305%)
MetaOmGraphMetaOmGraph: a workbench for interactive exploratory data analysis of large expression datasets
Stars: ✭ 30 (+50%)
poreplexA versatile sequenced read processor for nanopore direct RNA sequencing
Stars: ✭ 74 (+270%)
dockstoreOur VM/Docker sharing infrastructure and management component
Stars: ✭ 99 (+395%)
NGSNext-Gen Sequencing tools from the Horvath Lab
Stars: ✭ 30 (+50%)
kallistobustoolskallisto | bustools workflow for pre-processing single-cell RNA-seq data
Stars: ✭ 79 (+295%)
pyrpipeReproducible bioinformatics pipelines in python. Import any Unix tool/command in python.
Stars: ✭ 53 (+165%)
DGCADifferential Gene Correlation Analysis
Stars: ✭ 32 (+60%)
TCC-GUI📊 Graphical User Interface for TCC package
Stars: ✭ 35 (+75%)
idealInteractive Differential Expression AnaLysis - DE made accessible and reproducible
Stars: ✭ 24 (+20%)
CellNetCellNet: network biology applied to stem cell engineering
Stars: ✭ 39 (+95%)
wdl2cwl[Experimental] Workflow Definition Language (WDL) to CWL
Stars: ✭ 26 (+30%)
RNASeqRNASeq pipeline
Stars: ✭ 30 (+50%)
CICEROCICERO: a versatile method for detecting complex and diverse driver fusions using cancer RNA sequencing data.
Stars: ✭ 19 (-5%)
velodynDynamical systems methods for RNA velocity analysis
Stars: ✭ 16 (-20%)
arribaFast and accurate gene fusion detection from RNA-Seq data
Stars: ✭ 162 (+710%)
cellSNPPileup biallelic SNPs from single-cell and bulk RNA-seq data
Stars: ✭ 42 (+110%)
scCATCHAutomatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
Stars: ✭ 137 (+585%)
CoNekTCoNekT (short for Co-expression Network Toolkit) is a platform to browse co-expression data and enable cross-species comparisons.
Stars: ✭ 17 (-15%)
rna-seq-kallisto-sleuthA Snakemake workflow for differential expression analysis of RNA-seq data with Kallisto and Sleuth.
Stars: ✭ 56 (+180%)
alevin-fry🐟 🔬🦀 alevin-fry is an efficient and flexible tool for processing single-cell sequencing data, currently focused on single-cell transcriptomics and feature barcoding.
Stars: ✭ 78 (+290%)
scTCRseqProcessing of single cell RNAseq data for the recovery of TCRs in python
Stars: ✭ 22 (+10%)
tailseekerSoftware for measuring poly(A) tail length and 3′-end modifications using a high-throughput sequencer
Stars: ✭ 17 (-15%)
grape-nfAn automated RNA-seq pipeline using Nextflow
Stars: ✭ 30 (+50%)
slamdunkStreamlining SLAM-seq analysis with ultra-high sensitivity
Stars: ✭ 24 (+20%)
GREINGREIN : GEO RNA-seq Experiments Interactive Navigator
Stars: ✭ 40 (+100%)
FEELncFEELnc : FlExible Extraction of LncRNA
Stars: ✭ 61 (+205%)
scadenDeep Learning based cell composition analysis with Scaden.
Stars: ✭ 61 (+205%)
diffexprPorting DESeq2 and DEXSeq into python via rpy2
Stars: ✭ 49 (+145%)
squidSQUID detects both fusion-gene and non-fusion-gene structural variations from RNA-seq data
Stars: ✭ 37 (+85%)
ngs-in-biocA course on Analysing Next Generation (/High Throughput etc..) Sequencing data using Bioconductor
Stars: ✭ 37 (+85%)
pychopperA tool to identify, orient, trim and rescue full length cDNA reads
Stars: ✭ 74 (+270%)
janis[Alpha] Janis: an open source tool to machine generate type-safe CWL and WDL workflows
Stars: ✭ 35 (+75%)
workflowsBioinformatics workflows developed for and used on the St. Jude Cloud project.
Stars: ✭ 16 (-20%)
rnatoyA proof of concept RNA-Seq pipeline with Nextflow
Stars: ✭ 32 (+60%)