The workflow starts with selecting KLF6 as the search term. RNA-seq-like LINCS L1000 Signatures[1] which mimick or reverse the the expression of KLF6 were visualized. Median expression of KLF6 was obtained from the GTEx Portal[6] using the portal's API. To visualize the scored tissues, a vertical bar plot was created Fig..

1. Evangelista, J. E. et al. SigCom LINCS: data and metadata search engine for a million gene expression signatures. Nucleic Acids Research vol. 50 W697–W709 (2022). ...

The workflow starts with selecting atrial fibrillation as the search term. The workflow starts with selecting Ibrutinib as the search term. Gene sets with set labels containing atrial fibrillation were queried from Enrichr[1]. Identified matching terms from the MGI Mammalian Phenotype Level 4 2021[2] library were assembled into a collection of gene sets. A GMT was extracted from the Enrichr results for MGI_Mammalian_Phenotype_Level_4_2021. A consensus gene set was created by only retaining genes ...

The workflow starts with selecting Inflammation as the search term. The workflow starts with selecting Penicillin as the search term. The workflow starts with selecting Cortisol as the search term. Gene sets with set labels containing Inflammation were queried from Enrichr[1]. Identified matching terms from the GWAS Catalog 2019[2] library were assembled into a collection of gene sets. A GMT was extracted from the Enrichr results for GWAS_Catalog_2019. All the identified gene sets were combined ...

Installation

Other than cloning this repository, you need to have bash installed (which is most likely the case if you use Linux, *BSD or even MacOS). For the Python code, the arguably easiest and cleanest way is to set up a Python virtual environment and install the dependencies there:

$ python3 -m venv ./hcp-suite-venv # Setup the virtual environment 
$ source ./hcp-suite-venv/bin/activate # Activate the virtual environment 
$ pip install pandas pingouin networkx nilearn nibabel ray
...

Workflow (hybrid) metagenomic assembly and binning

• Workflow Illumina Quality: https://workflowhub.eu/workflows/336?version=1
• FastQC (control)
• fastp (quality trimming)
• kraken2 (taxonomy)
• bbmap contamination filter
• Workflow Longread Quality:
• NanoPlot (control)
• filtlong (quality trimming)
• kraken2 (taxonomy)
• minimap2 contamination filter
• Kraken2 taxonomic classification of FASTQ reads
• SPAdes/Flye (Assembly)
• Pilon/Medaka/PyPolCA (Assembly polishing)
• QUAST (Assembly ...

gimp-image-annotator

gimp-image-annotator or GIÀ, a lightweight GIMP plug-in to alllow for computer vision-assisted image annotation using the powerful GIMP selection toolbox.

Installation

Follow the guide here: https://en.wikibooks.org/wiki/GIMP/Installing_Plugins to find how to install GIMP plug-ins on your system, save the file image-annotator.py in GIMP's plug-in folder.

In GIMP v2.x, the plug-in system relies on deprecated python2. On Windows, a version of python2 is included in ...

Article abstract

Permeability is an important molecular property in drug discovery, as it co-determines pharmacokinetics whenever a drug crosses the phospholipid bilayer, e.g., into the cell, in the gastrointestinal tract or across the blood-brain barrier. Many methods for the determination of permeability have been developed, including cell line assays, cell-free model systems like PAMPA mimicking, e.g., gastrointestinal epithelia or the skin, as well as the Black lipid membrane (BLM) and ...

M6Allele Pipeline & M6Allele algorithm

Introduction

We have developed an algorithm called M6Allele for identifying allele-specific m6A modifications. To facilitate its usage by researchers, we have also encapsulated our analysis process into a pipeline. You can learn more about the pipeline and the algorithm's usage from the following two modules:

• Pipeline
• M6Allele algorithm

M6Allele Pipeline

PARAMETER INTRODUCTION

• -g/--gtf : ...

EnrichDO

EnrichDO is a double weighted iterative model by integrating the DO graph topology on a global scale. It was based on the latest annotations of the human genome with DO terms, and double weighted the annotated protein-coding genes. On one hand, to reinforce the saliency of direct gene-DO annotations, different initial weights were assigned to directly annotated genes and indirectly annotated genes, respectively. On the other hand, to detect locally most significant node between ...