The benchmarks are derived from computational fluid dynamics (CFD) applications and consist of five kernels and three pseudo-applications in the original "pencil-and-paper" specification (NPB 1). The benchmark suite has been extended to include new benchmarks for unstructured adaptive meshes, parallel I/O, multi-zone applications, and computational grids. Problem sizes in NPB are predefined and indicated as different classes.

mpiGraph is a MPI benchmark to generate network bandwidth images.

GPCNeT is a benchmark suite that includes simulated network congestion, allowing the benchmarking of network performance in closer-to-real-conditions in HPC networks.

HPL is a software package that solves a (random) dense linear system in double precision (64 bits) arithmetic on distributed-memory computers. It can thus be regarded as a portable as well as freely available implementation of the High Performance Computing Linpack Benchmark.

Create an interactive Shiny-based graphical user interface for exploring data stored in SummarizedExperiment objects, including row- and column-level metadata. The interface supports transmission of selections between plots and tables, code tracking, interactive tours, interactive or programmatic initialization, preservation of app state, and extensibility to new panel types via S4 classes. Special attention is given to single-cell data in a SingleCellExperiment object with visualization of dimensionality reduction results.

This is an R package which interfaces with the OME Bio-Formats Java library to allow reading of proprietary microscopy image data and metadata.

hiddenDomains is a suite of programs used to identify significant enrichment of ChIP-seq reads that span large domains, like HK27me3. The input data can be in BAM format, or in a tab-delimited 'reads per bin' format described below. The output is a BED formatted file the lists the enriched domains and their posterior probabilities.

This package contains a few simple math function for other Oxford Nanopore processing scripts.

The goal of NicheNet is to study intercellular communication from a computational perspective. NicheNet uses human or mouse gene expression data of interacting cells as input and combines this with a prior model that integrates existing knowledge on ligand-to-target signaling paths. This allows to predict ligand-receptor interactions that might drive gene expression changes in cells of interest.

This package provides a tool to extract assembly statistics from FASTA and FASTQ files.

This package provides a subset of the Regulatory Sequence Analysis Tools (RSAT).

This package provides tools for rapid prokaryotic genome annotation.

Bioparser is a C++ header only parsing library for several bioinformatics formats (FASTA/Q, MHAP/PAF/SAM), with support for zlib compressed files.

FastQC aims to provide a QC report which can spot problems which originate either in the sequencer or in the starting library material. It can either run as a stand alone interactive application for the immediate analysis of small numbers of FastQ files, or it can be run in a non-interactive mode where it would be suitable for integrating into a larger analysis pipeline for the systematic processing of large numbers of files.

This package provides a tool to download or view data in the cloud environments of ICGC.

Easel is an ANSI C code library developed by the Eddy/Rivas laboratory at Harvard. Easel supports our work on computational analysis of biological sequences using probabilistic models. Easel is used by HMMER, the profile hidden Markov model software that underlies several protein and DNA sequence family databases such as Pfam, and by Infernal, the profile stochastic context-free grammar software that underlies the Rfam RNA family database. Easel aims to make similar applications more robust and easier to develop, by providing a set of reusable, documented, and well-tested functions.

Mellon is a non-parametric cell-state density estimator based on a nearest-neighbors-distance distribution. It uses a sparse gaussian process to produce a differntiable density function that can be evaluated out of sample.

SeqAn is a C++ library of efficient algorithms and data structures for the analysis of sequences with the focus on biological data. It contains algorithms and data structures for string representation and their manipulation, online and indexed string search, efficient I/O of bioinformatics file formats, sequence alignment, and more.

This package provides tools for filtering on quality and/or read length, and optional trimming after passing filters. Reads from stdin, writes to stdout. Optionally reads directly from an uncompressed file specified on the command line. It is intended to be used directly after fastq extraction, prior to mapping, or in a stream between extraction and mapping.

This package contains functions to extract information from Oxford Nanopore sequencing data and alignments.

Contig Annotation Tool (CAT) and Bin Annotation Tool (BAT) are pipelines for the taxonomic classification of long DNA sequences and metagenome assembled genomes (MAGs/bins) of both known and (highly) unknown microorganisms, as generated by contemporary metagenomics studies. The core algorithm of both programs involves gene calling, mapping of predicted ORFs against the nr protein database, and voting-based classification of the entire contig / MAG based on classification of the individual ORFs. CAT and BAT can be run from intermediate steps if files are formated appropriately