Sailfish enables alignment-free isoform quantification from RNA-seq reads using lightweight algorithms
We introduce Sailfish, a computational method for quantifying the abundance of previously
annotated RNA isoforms from RNA-seq data. Because Sailfish entirely avoids map** …
annotated RNA isoforms from RNA-seq data. Because Sailfish entirely avoids map** …
[書籍][B] Algorithms and data structures: The basic toolbox
K Mehlhorn, P Sanders, P Sanders - 2008 - Springer
Algorithms are at the heart of every nontrivial computer application, and algorithmics is a
modern and active area of computer science. Every computer scientist and every …
modern and active area of computer science. Every computer scientist and every …
Xor filters: Faster and smaller than bloom and cuckoo filters
The Bloom filter provides fast approximate set membership while using little memory.
Engineers often use these filters to avoid slow operations such as disk or network accesses …
Engineers often use these filters to avoid slow operations such as disk or network accesses …
Practical volume-hiding encrypted multi-maps with optimal overhead and beyond
Encrypted multi-map (EMM), as a special case of structured encryption, has attracted
extensive attention recently. However, most of EMM constructions reveal the real volumes of …
extensive attention recently. However, most of EMM constructions reveal the real volumes of …
Hash, displace, and compress
A hash function h, ie, a function from the set U of all keys to the range range [m]={0,..., m− 1}
is called a perfect hash function (PHF) for a subset S⊆ U of size n≤ m if h is 1-1 on S. The …
is called a perfect hash function (PHF) for a subset S⊆ U of size n≤ m if h is 1-1 on S. The …
Fast and scalable minimal perfect hashing for massive key sets
Minimal perfect hash functions provide space-efficient and collision-free hashing on static
sets. Existing algorithms and implementations that build such functions have practical …
sets. Existing algorithms and implementations that build such functions have practical …
Indexing methods for approximate dictionary searching: Comparative analysis
L Boytsov - Journal of Experimental Algorithmics (JEA), 2011 - dl.acm.org
The primary goal of this article is to survey state-of-the-art indexing methods for approximate
dictionary searching. To improve understanding of the field, we introduce a taxonomy that …
dictionary searching. To improve understanding of the field, we introduce a taxonomy that …
Scale-dependent 3D geometric features
J Novatnack, K Nishino - 2007 IEEE 11th International …, 2007 - ieeexplore.ieee.org
Three-dimensional geometric data play fundamental roles in many computer vision
applications. However, their scale-dependent nature, ie the relative variation in the spatial …
applications. However, their scale-dependent nature, ie the relative variation in the spatial …
Binary fuse filters: Fast and smaller than xor filters
Bloom and cuckoo filters provide fast approximate set membership while using little memory.
Engineers use them to avoid expensive disk and network accesses. The recently introduced …
Engineers use them to avoid expensive disk and network accesses. The recently introduced …
Can Learned Models Replace Hash Functions?
Hashing is a fundamental operation in database management, playing a key role in the
implementation of numerous core database data structures and algorithms. Traditional hash …
implementation of numerous core database data structures and algorithms. Traditional hash …