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.
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.