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A directory of tools, AI models, datasets, and research resources for biotech, bioinformatics, and other scientific fields. Aggregated from curated GitHub awesome-lists, HuggingFace, bio.tools, Bioconductor, and more.

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MAnorm2 for quantitatively comparing groups of ChIP-seq samples. To pre-process a set of ChIP-seq samples. MAnorm2_utils is designed to coordinate with MAnorm2, an R package for differential analysis with ChIP-seq signals between two or more groups of replicate samples. MAnorm2_utils is primarily used for processing a set of ChIP-seq samples into a regular table recording the read abundances and enrichment states of a list of genomic bins in each of these samples.

Here, we present GENome Organisation Visual Analytics (GENOVA): a software suite to perform in-depth analyses on various levels of genome organisation, using Hi-C data. GENOVA facilitates the comparison between multiple datasets and supports the majority of mapping-pipelines. The increase in interest for Hi-C methods in the chromatin community has led to a need for more user-friendly and powerful analysis methods. The few currently available software packages for Hi-C do not allow a researcher to quickly summarize and visualize their data. An easy to use software package, which can generate a comprehensive set of publication-quality plots, would allow researchers to swiftly go from raw Hi-C data to interpretable results.