Affymetrix Affymetrix HT_Rat-Focus Array annotation data (chip htratfocus) assembled using data from public repositories.

Affymetrix hta20 annotation data (chip hta20transcriptcluster) assembled using data from public repositories.

HiCcompare provides functions for joint normalization and difference detection in multiple Hi-C datasets. HiCcompare operates on processed Hi-C data in the form of chromosome-specific chromatin interaction matrices. It accepts three-column tab-separated text files storing chromatin interaction matrices in a sparse matrix format which are available from several sources. HiCcompare is designed to give the user the ability to perform a comparative analysis on the 3-Dimensional structure of the genomes of cells in different biological states.`HiCcompare` differs from other packages that attempt to compare Hi-C data in that it works on processed data in chromatin interaction matrix format instead of pre-processed sequencing data. In addition, `HiCcompare` provides a non-parametric method for the joint normalization and removal of biases between two Hi-C datasets for the purpose of comparative analysis. `HiCcompare` also provides a simple yet robust method for detecting differences between Hi-C datasets.

Affymetrix hta20 annotation data (chip hta20probeset) assembled using data from public repositories.

Affymetrix hugene10 annotation data (chip hugene10sttranscriptcluster) assembled using data from public repositories.

Agilent Chips that use Agilent design number 026652 annotation data (chip HsAgilentDesign026652) assembled using data from public repositories.

This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was HG-U95B\_probe\_tab.

This is a data package for normalised homosapien data downloaded from DEE2. The package both downloads, normalises, and filters the data, and provides a way to access the data from a canonical store without needing local processing. This package was built as a way to generate and store canonical test data for CellScore.

This is an ExperimentHub Data package that helps to access the spatially-resolved transcriptomics and single-nucleus RNA sequencing data. The datasets are generated from adjacent tissue sections of the anterior human hippocampus across ten adult neurotypical donors. The datasets are based on [spatial_hpc](https://github.com/LieberInstitute/spatial_hpc) project by Lieber Institute for Brain Development (LIBD) researchers and collaborators.

This package provides a package containing an environment representing the Hu35KsubA.CDF file.

This package provides a package containing an environment representing the HT_Rat-Focus.cdf file.

Package with metadata for genotyping Illumina 660kQuad arrays using the crlmm package.

Agilent Human 1 cDNA Microarray Kit annotation data (chip hgug4100a) assembled using data from public repositories.

This package provides functions to visualize long vectors of integer data by means of Hilbert curves.

This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was HG-U133\_Plus\_2\_probe\_tab.

This package provides a package containing an environment representing the HG-U133B.cdf file.

Affymetrix Affymetrix HC_G110 Array annotation data (chip hcg110) assembled using data from public repositories.

Package with metadata for genotyping Illumina Omni1 Quad arrays using the crlmm package.

Affymetrix Affymetrix Hu6800 Array annotation data (chip hu6800) assembled using data from public repositories.

This package provides a package containing an environment representing the HG_U95B.CDF file.

Affymetrix Affymetrix HT_Rat230_PM Array annotation data (chip htrat230pm) assembled using data from public repositories.

This package was created by frmaTools version 1.19.3 and hgu133ahsentrezgcdf version 19.0.0.

This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was HT\_HG-U133B\_probe\_tab.

HPiP (Host-Pathogen Interaction Prediction) uses an ensemble learning algorithm for prediction of host-pathogen protein-protein interactions (HP-PPIs) using structural and physicochemical descriptors computed from amino acid-composition of host and pathogen proteins.The proposed package can effectively address data shortages and data unavailability for HP-PPI network reconstructions. Moreover, establishing computational frameworks in that regard will reveal mechanistic insights into infectious diseases and suggest potential HP-PPI targets, thus narrowing down the range of possible candidates for subsequent wet-lab experimental validations.