Reverse Dependencies of logomaker

The following projects have a declared dependency on logomaker:

• bio-shark — SHARK (Similarity/Homology Assessment by Relating K-mers)
• creme-nn — An in silico perturbation framework to interpret large-scale genomic deep learning
• crested — CREsted: Cis-Regulatory Element Sequence Training, Explanation, and Design
• crispr-bean — Base Editor screen analysis [Bayesian Estimation of variant effect] with guide Activity Normalization
• decombinator — A fast and efficient tool for the analysis of T-cell receptor repertoire sequences produced by deep sequencing.
• DeepLocRNA — Predicting RNA localization based on RBP binding information
• ExpoSeq — A pacakge which provides various ways to analyze NGS data from phage display campaigns
• fast-tcrdist — Optimized TCRDist calculation for TCR repertoire data analysis
• gReLU — gReLU is a python library to train, interpret, and apply deep learning models to DNA sequences
• immuneML — immuneML is a software platform for machine learning analysis of immune receptor repertoires.
• IPTKL — IPTK is a library specialized in the analysis of HLA-peptidomes identified through an immunopeptidomics pipeline.
• kmer-map — A package for visualizing kmers.
• learna-tools — RNA Design with automated reinforcement learning.
• learnMSA — learnMSA: Learning and Aligning large Protein Families
• modisco-lite — Transcription Factor MOtif Discovery from Importance SCOres - lite
• mubind — ML for biomolecular binding
• mutagenesis-visualization — A package for processing, analysis and visualization of site-saturation mutagenesis data
• pairk — motif conservation in IDRs through pairwise k-mer alignment
• prolint2 — ProLint2: Lipid-Protein Interaction Analysis.
• pylipid — PyLipID - A Python Library For Lipid Interaction Analysis
• pyrepseq — Python library for immune repertoire analyses
• python-katlas — tools for predicting kinome specificities
• rrmscorer — RRM-RNA score predictor
• RSeQC — QC package for RNA-seq data.
• seqexplainer — Interpreting sequence-to-function machine learning models
• snetcr — Pairwise distance calculation and neighborhood enrichment analysis of TCR repertoires
• splicekit — splicekit: comprehensive toolkit for splicing analysis from short-read RNA-seq
• STFD — STFD: Series of deep learning-based foundation models for spatial transcriptomic data analysis
• tangermeme — Biological sequence analysis for the modern age.
• tcr-deep-insight — tcr_deep_insight
• TopDownCrawl — TopDownCrawl is a tool for aligning quantitative binding data for k-mers from experiments such as SELEX-seq and SMiLE-seq
• uorf4u — A tool for short uORF annotation.
• utilsovs-pkg — Utils derived from the O-GlcNAc Database source code