Tools
PlanExp
PlanExp
is a web application that allows researchers to explore and visualize gene expression data of RNA-seq and single cell RNA-seq experiments for the planaria Schmidtea mediterranea. It is integrated within the PlanNET
database.
CAPTVRED
is a NetFlow
pipeline designed to analyze viral metagenomics datasets from Target Enrichment Sequencing (or Capture-based Metagenomics).
PlanNET
PlanNET
is a web application that stores predicted Schmidtea mediterranea protein-protein interactions (PPI) projected over a Human ppi network
RPGeNet
RPGeNet
is a web application to explore the retinitis pigmentosa gene interaction network. Version 1 interactions core skeleton network was built upon 110 RP/LCA driver genes, but the new major upgrade to version 2 engine includes 276 retinal dystrophies driver genes.
PPaxe
PPaxe
is a tool to retrieve protein-protein interactions and calculate protein/gene symbol ocurrence in the scientific literature (PubMed & PubMedCentral). Contains two Python
modules, core
and report
, and a Python
script, ppaxe
.
SiNoPsis
This web application is specialized to characterize annotated gene or genomic coordinates (GRCh37/hg19) in terms of Transcription Factor binding sites, histone marks, open-chromatin states, as well as SNPs linkage desequilibrium and eQTL properties.
gff2ps
gff2ps
is a program for visualizing annotations of genomic sequences. The program takes as input the annotated features on a genomic sequence in GFF format, and produces a visual output in PostScript
. It can be used in a very simple way, because it assumes that the GFF file itself carries enough formatting information, but it also allows through a number of options and/or a configuration file, for a great degree of customization.
gff2aplot
gff2aplot
is a program to visualize the alignment of two sequences together with their annotations. Input for the program consists of single or multiple files in GFF-format which specify the alignment coordinates and annotation features of both sequences. Output is in PostScript
format of any size. The features to be displayed are highly customizable to meet user specific needs. The program serves to generate print-quality images for comparative genome sequence analysis.
CompGen Main Repository
Github