e-mem

Efficient computation of Maximal Exact Matches for very large genomes

E-MEM enables efficient computation of Maximal Exact Matches (MEMs) that does not use full text indexes. The algorithm uses much less space and is highly amenable to parallelization. It can compute all MEMs of minimum length 100 between the whole human and mouse genomes on a 12 core machine in 10 min and 2 GB of memory; the required memory can be as low as 600 MB. It can run efficiently genomes of any size. Extensive testing and comparison with currently best algorithms is provided.

node-package

easy package.json exports

Node.js is an event-based server-side JavaScript engine.

lib32gcc1-amd64-cross

GCC support library (32 bit Version)

Shared version of the support library, a library of internal subroutines that GCC uses to overcome shortcomings of particular machines, or special needs for some languages.

gobjc-8-i686-linux-gnu

GNU Objective-C compiler

qt3d-assimpsceneio-plugin

Qt 3D GL Assimp scene IO plugin

node-hook-std

Hook and modify stdout/stderr

node-hook-std permits one to modify stdout and/or stderr. It returns a promise but can also take a callback.