Documentation at https://melpa.org/#/mu2tex

Munch is a dot-accessible dictionary similar to JavaScript objects.

Partition a data frame across multiple worker processes to provide simple multicore parallelism.

When mutex_m is required, any object that extends or includes Mutex_m will be treated like a Mutex.

This package provides functions to plot and manipulate multigraphs, signed and valued graphs, bipartite graphs, multilevel graphs, and Cayley graphs with various layout options.

cpp-mustache is a Mustache implementation for C++ 11 and above. It is header only and has zero dependencies. It provides a templated string type for compatibility with any STL-like string (std::string, std::wstring, etc).

An R package for deeping mining gene co-expression networks in multi-trait expression data. Provides functions for analyzing, comparing, and visualizing WGCNA networks across conditions. multiWGCNA was designed to handle the common case where there are multiple biologically meaningful sample traits, such as disease vs wildtype across development or anatomical region.

This package implements multitaper spectral estimation techniques using prolate spheroidal sequences (Slepians) and sine tapers for time series analysis. It includes an adaptive weighted multitaper spectral estimate, a coherence estimate, Thomson's Harmonic F-test, and complex demodulation. The Slepians sequences are generated efficiently using a tridiagonal matrix solution, and jackknifed confidence intervals are available for most estimates.

This package provides tools used by organizational researchers for the analysis of multilevel data. It includes four broad sets of tools.

1. functions for estimating within-group agreement and reliability indices.

2. functions for manipulating multilevel and longitudinal (panel) data.

3. simulations for estimating power and generating multilevel data.

4. miscellaneous functions for estimating reliability and performing simple calculations and data transformations.

Clustering is carried out to identify patterns in transcriptomics profiles to determine clinically relevant subgroups of patients. Feature (gene) selection is a critical and an integral part of the process. Currently, there are many feature selection and clustering methods to identify the relevant genes and perform clustering of samples. However, choosing an appropriate methodology is difficult. In addition, extensive feature selection methods have not been supported by the available packages. Hence, we developed an integrative R-package called multiClust that allows researchers to experiment with the choice of combination of methods for gene selection and clustering with ease. Using multiClust, we identified the best performing clustering methodology in the context of clinical outcome. Our observations demonstrate that simple methods such as variance-based ranking perform well on the majority of data sets, provided that the appropriate number of genes is selected. However, different gene ranking and selection methods remain relevant as no methodology works for all studies.

Documentation at https://melpa.org/#/mu4easy

Logic-less mustache templates with JavaScript

Documentation at https://melpa.org/#/helm-mu

Documentation at https://melpa.org/#/mu-cite

HTTP multipart split out of the cgi package, for Haskell.

This package selects the fastest JSON functions available at import time.

This package provides Multilanguages stemmers and stopwords for the Lunr Javascript library.

MUMPS (MUltifrontal Massively Parallel sparse direct Solver) solves a sparse system of linear equations A x = b using Gaussian elimination.

Mudata is a Python package for multi-omics data analysis. It is designed to provide functionality to load, process, and store multimodal omics data.

This Common Lisp package offers an implementation of the 32-bit variant of MurmurHash3 (https://github.com/aappleby/smhasher), a fast non-crytographic hashing algorithm.

Mustache is a framework-agnostic way to render logic-free views. Think of Mustache as a replacement for your views. Instead of views consisting of ERB or HAML with random helpers and arbitrary logic, your views are broken into two parts: a Ruby class and an HTML template.

This package is for designing Crispr/Cas9 and Prime Editing experiments. It contains functions to (1) define and transform genomic targets, (2) find spacers (4) count offtarget (mis)matches, and (5) compute Doench2016/2014 targeting efficiency. Care has been taken for multicrispr to scale well towards large target sets, enabling the design of large Crispr/Cas9 libraries.

Helm sources for searching emails and contacts using mu and mu4e. Mu is an indexer for maildirs and mu4e is a mutt-like MUA for Emacs build on top of mu. Mu is highly efficient making it possible to get instant results even for huge maildirs. It also provides search operators, e.g: from:Peter to:Anne flag:attach search term.

GDB is the GNU debugger. With it, you can monitor what a program is doing while it runs or what it was doing just before a crash. It allows you to specify the runtime conditions, to define breakpoints, and to change how the program is running to try to fix bugs. It can be used to debug programs written in C, C++, Ada, Objective-C, Pascal and more.