REALPHY - The Reference sequence Alignment based Phylogeny builder is a free online pipeline that can infer phylogenetic trees from whole genome sequence data. The user only has to provide genome sequences in FASTA, GenBank or FASTQ formats. From these sequences phylogenetic trees are inferred via PhyML. The alignments, tree files and information on SNPs and deleted sites are available for download after the analysis is finished.

Redundans is a pipeline that assists the assembly of heterozygous genomes. It takes as input assembled contigs, sequencing libraries and/or reference sequence and returns scaffolded homozygous genome assembly. 

ReferenceSeeker determines closely-related reference genomes following a scalable hierarchical approach. It combines a fast kmer profile-based database lookup of candidate reference genomes and subsequent computation of specific average nucleotide identity (ANI) values.

Tools to analyse cis-regulatory elements in genome sequences

RnBeads is an R package for analysing DNA methylation data obtained with an experimental protocol that provides single-CpG resolution. 

A framework for software development in bioinformatics. It covers three aspects:.

1. Workflow wrapping the TF text-mining results from https://github.com/fnl plus other databases. 
2. High Throughput Sequencing related functionalities.
3. Rbbt wrapper for the Variant Effect Predictor.

Auto-downloads and installs the software.

SIENA has been developed for the automated assembly and preprocessing of protein binding site ensembles.

Structural and physico-chemical interpretation of QSAR models

SQANTI3 is the first module of the [Functional IsoTranscriptomics (FIT)](https://tappas.org/) framework, which also includes IsoAnnot and tappAS.

Nextflow pipeline for splicing quantitative trait loci (sQTL) mapping based on sQTLseekeR2, performing the following analysis steps:

1. Index the genotype file
2. Preprocess the transcript expression data
3. Test for association between splicing ratios (a multivariate phenotype) and genetic variants in cis (nominal pass)
4. Obtain an empirical P-value for each phenotype (permutation pass, optional)
5. Control for multiple testing.