- libc6 (>= 2.17)
- libgcc-s1 (>= 3.0)
- libgomp1 (>= 4.9)
- libstdc++6 (>= 5.2)
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.
.
Mummer has many different scripts where one of the key program is MEM
computation. In all the scripts, the MEM computation program can be
replaced with e-mem with ease for better performance.
Installed Size: 96.3 kB
Architectures: arm64 amd64