eQTL-Catalogue/qtlmap

Portable eQTL analysis and statistical fine mapping workflow used by the eQTL Catalogue

Introduction

eQTL-Catalogue/qtlmap is a bioinformatics analysis pipeline used for QTL Analysis.

The workflow takes phenotype count matrix (normalized and quality controlled) and genotype data as input, and finds associations between them with the help of sample metadata and phenotype metadata files (See Input formats and preparation for required input ...

This workflow demonstrates the usage of EODIE, a toolkit to extract object based timeseries information from Earth Observation data.

EODIE is a toolkit to extract object based timeseries information from Earth Observation data.

The EODIE code can be found on Gitlab .

The goal of EODIE is to ease the extraction of time series information at object level. Today, vast amounts of Earth Observation data are available to the users via for example earth explorer ...

Summary

This notebook demonstrates how to recreate lineages published in the paper Live imaging of remyelination in the adult mouse corpus callosum and available at idr0113-bottes-opcclones.

The lineage is created from the metadata associated to the specified image.

To load the data from the Image Data Resource, we use:

• the Python API ...

ASPICov was developed to provide a rapid, reliable and complete analysis of NGS SARS-Cov2 samples to the biologist. This broad application tool allows to process samples from either capture or amplicon strategy and Illumina or Ion Torrent technology. To ensure FAIR data analysis, this Nextflow pipeline follows nf-core guidelines and use Singularity containers.

Availability and Implementation: https://gitlab.com/vtilloy/aspicov

Citation: Valentin Tilloy, Pierre Cuzin, Laura Leroi, Emilie Guérin, ...

Snakemake workflow: FAIR CRCC - send data

A Snakemake workflow for securely sharing Crypt4GH-encrypted sensitive data from the CRC Cohort ...

polya_liftover - sc/snRNAseq Snakemake Workflow

A [Snakemake][sm] workflow for using PolyA_DB and UCSC Liftover with Cellranger.

Some genes are not accurately annotated in the reference genome. Here, we use information provide by the [PolyA_DB v3.2][polya] to update the coordinates, then the [USCS Liftover][liftover] tool to update to a more recent genome. Next, we use [Cellranger][cr] to create the reference and count matrix. Finally, by taking advantage of the integrated [Conda][conda] and ...

RNA-Seq pipeline

Here we provide the tools to perform paired end or single read RNA-Seq analysis including raw data quality control, differential expression (DE) analysis and functional annotation. As input files you may use either zipped fastq-files (.fastq.gz) or mapped read data (.bam files). In case of paired end reads, corresponding fastq files should be named using .R1.fastq.gz and .R2.fastq.gz suffixes.

Pipeline Workflow

All analysis steps are illustrated in the pipeline ...

ChIP-Seq pipeline

Here we provide the tools to perform paired end or single read ChIP-Seq analysis including raw data quality control, read mapping, peak calling, differential binding analysis and functional annotation. As input files you may use either zipped fastq-files (.fastq.gz) or mapped read data (.bam files). In case of paired end reads, corresponding fastq files should be named using .R1.fastq.gz and .R2.fastq.gz suffixes.

Pipeline Workflow

All analysis steps are illustrated in ...

DNA-Seq pipeline

Here we provide the tools to perform paired end or single read DNA-Seq analysis including raw data quality control, read mapping, variant calling and variant filtering.

Pipeline Workflow

All analysis steps are illustrated in the pipeline ...

scRNA-Seq pipelines

Here we forge the tools to analyze single cell RNA-Seq experiments. The analysis workflow is based on the Bioconductor packages scater and scran as well as the Bioconductor workflows by Lun ATL, McCarthy DJ, & Marioni JC [*A step-by-step workflow for low-level analysis of single-cell RNA-seq ...