This is the C implementation of the ORCΛ language and terminal livecoding environment. It's designed to be power efficient. It can handle large files, even if your terminal is small.

Orca is not a synthesizer, but a flexible livecoding environment capable of sending MIDI, OSC, and UDP to your audio/visual interfaces like Ableton, Renoise, VCV Rack, or SuperCollider.

This package provides a collection of microRNAs/targets from external resources, including validated microRNA-target databases (miRecords, miRTarBase and TarBase), predicted microRNA-target databases (DIANA-microT, ElMMo, MicroCosm, miRanda, miRDB, PicTar, PITA and TargetScan) and microRNA-disease/drug databases (miR2Disease, Pharmaco-miR VerSe and PhenomiR).

This package can do non-parametric bootstrap and permutation resampling-based multiple testing procedures (including empirical Bayes methods) for controlling the family-wise error rate (FWER), generalized family-wise error rate (gFWER), tail probability of the proportion of false positives (TPPFP), and false discovery rate (FDR). Several choices of bootstrap-based null distribution are implemented (centered, centered and scaled, quantile-transformed). Single-step and step-wise methods are available. Tests based on a variety of T- and F-statistics (including T-statistics based on regression parameters from linear and survival models as well as those based on correlation parameters) are included. When probing hypotheses with T-statistics, users may also select a potentially faster null distribution which is multivariate normal with mean zero and variance covariance matrix derived from the vector influence function. Results are reported in terms of adjusted P-values, confidence regions and test statistic cutoffs. The procedures are directly applicable to identifying differentially expressed genes in DNA microarray experiments.

Mutational signatures are carcinogenic exposures or aberrant cellular processes that can cause alterations to the genome. We created musicatk (MUtational SIgnature Comprehensive Analysis ToolKit) to address shortcomings in versatility and ease of use in other pre-existing computational tools. Although many different types of mutational data have been generated, current software packages do not have a flexible framework to allow users to mix and match different types of mutations in the mutational signature inference process. Musicatk enables users to count and combine multiple mutation types, including SBS, DBS, and indels. Musicatk calculates replication strand, transcription strand and combinations of these features along with discovery from unique and proprietary genomic feature associated with any mutation type. Musicatk also implements several methods for discovery of new signatures as well as methods to infer exposure given an existing set of signatures. Musicatk provides functions for visualization and downstream exploratory analysis including the ability to compare signatures between cohorts and find matching signatures in COSMIC V2 or COSMIC V3.

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

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

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

muon is a multimodal omics Python framework.

This is the VPN client software for the Mullvad VPN service.

Estimates gene expressions from several laser scans of the same microarray.

FHCRC Genomics Shared Resource Mu15v1 Annotation Data (Mu15v1) assembled using data from public repositories.

FHCRC Genomics Shared Resource Mu22v3 Annotation Data (Mu22v3) assembled using data from public repositories.

Data package containing a multi-sample multi-group spatial dataset in SpatialExperiment Bioconductor object format.

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

GNOME Music is the new GNOME music playing application that aims to combine an elegant and immersive browsing experience with simple and straightforward controls.

This is a Common Lisp implementation for the Mustache template system. More details on the standard are available at https://mustache.github.io.

This package provides a set of tools to permute multisets without loops or hash tables and to generate integer partitions. Cool-lex order is similar to colexicographical order.

Extracted features from pathways derived from 8 different databases (KEGG, Reactome, Biocarta, etc.) can be used on transcriptomic, proteomic, and/or metabolomic level to calculate a combined GSEA-based enrichment score.

This library implements an efficient loopless multiset combination generation algorithm which is (approximately) described in "Loopless algorithms for generating permutations, combinations, and other combinatorial configurations.", G. Ehrlich - Journal of the ACM (JACM), 1973. (Algorithm 7.)

Provides Emacs Lisp with a form of polymorphism by way of predicate dispatching. Methods consist of a dispatch function, and a series of branches. The dispatch function is applied to the arguments, and the result value is checked against the expectations of each branch to define which one to invoke.

Multimon-ng can decode several digital radio transmission modes:

• POCSAG512, POCSAG1200, POCSAG2400

• FLEX

• EAS

• UFSK1200, CLIPFSK, AFSK1200, AFSK2400, AFSK2400_2, AFSK2400_3

• HAPN4800

• FSK9600

• DTMF

• ZVEI1, ZVEI2, ZVEI3, DZVEI, PZVEI

• EEA, EIA, CCIR

• MORSE CW

• X10

ExperimentHubData package for the mulea comprehensive overrepresentation and functional enrichment analyser R package. Here we provide ontologies (gene sets) in a data.frame for 27 different organisms, ranging from Escherichia coli to human, all acquired from publicly available data sources. Each ontology is provided with multiple gene and protein identifiers. Please see the NEWS file for a list of changes in each version.

Algebraic procedures for analyses of multiple social networks are delivered with this package. multiplex makes possible, among other things, to create and manipulate multiplex, multimode, and multilevel network data with different formats. Effective ways are available to treat multiple networks with routines that combine algebraic systems like the partially ordered semigroup with decomposition procedures or semiring structures with the relational bundles occurring in different types of multivariate networks. multiplex provides also an algebraic approach for affiliation networks through Galois derivations between families of the pairs of subsets in the two domains of the network with visualization options.

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