RBPBench
github.com/michauhl/rbpbenchRBPBench is a multi-function tool to evaluate CLIP-seq and other related genomic region data using a comprehensive collection of known RNA-binding protein (RBP) binding motifs. RBPBench can be used for a variety of purposes, from RBP motif search (database or user-supplied RBP motifs) in genomic regions, over motif enrichment and co-occurrence analysis, in-depth comparisons over multiple datasets via sequence and genomic annotation statistics, to benchmarking CLIP-seq peak caller methods as well as comparisons across cell types and CLIP-seq protocols. RBPBench supports both sequence and structure motifs, as well as regular expressions (sequence and structure patterns). Moreover, users can easily provide their own motif collections.
Sourced from
- bio.tools — rbpbench
- GitHub — github.com/michauhl/rbpbench
Related resources
Local Python sequence utilities for nucleotide composition, DNA and RNA reverse complements, NCBI genetic-code translation, six-frame candidate ORF enumeration, and IUPAC motif searches. Computase accepts raw nucleotide strings or one FASTA record and returns structured, bounded results with explicit scientific conventions.
Toolkit for processing sequences in FASTA/Q formats.
Rapid & standardized annotation of bacterial genomes, MAGs & plasmids
General-purpose RNA language model with 650M parameters pretrained on 36M non-coding RNA sequences, achieving strong generalization on structure prediction tasks including secondary structure prediction, splice-site prediction, mean ribosome loading, and ncRNA classification (lbcb-sci, 165+ stars, Apache-2.0)
Pairwise SNP distance matrix from a FASTA sequence alignment