Abstract. HMMER, based on the profile Hidden Markov Model (HMM) is one of the most widely used sequence database searching tools, allowing researchers to compare HMMs to sequence databases or sequences to HMM databases. Such searches often take many hours and consume a great number of CPU cycles on modern computers. We present a cluster-enabled hardware/software-accelerated implementation of the HMMER search tool hmmsearch. Our results show that combining the parallel efficiency of a cluster with one or more high-speed hardware accelerators (FPGAs) can significantly improve performance for even the most time consuming searches, often reducing search times from several hours to minutes
With increasing size of sequence databases heuristic search approaches have become necessary. Hidden...
Profile Hidden Markov models are highly expressive representations of functional units, or motifs, c...
BACKGROUND: HH-suite is a widely used open source software suite for sensitive sequence similarity s...
International audienceWe propose a new parallelization scheme for the hmmsearch function of the HMME...
International audienceHMMER is a widely used tool in bioinformatics, based on Profile Hidden Markov ...
We present PIO-HMMER, an enhanced version of MPI-HMMER. PIO-HMMER improves on MPI-HMMER’s scalabilit...
International audienceHMMER is a widely used tool in bioinformatic, based on the Profile Hidden Mark...
The proliferation of biological sequence data has motivated the need for an extremely fast probabili...
Introduction HMMs have been proven useful in protein sequence analysis [1]. However, a full search ...
HMMER is a software suite for protein sequence similarity searches using probabilistic methods. Prev...
We will introduce a way how we can achieve high speed homology search by only adding one off-the-she...
Abstract Background Profile hidden Markov models (profile-HMMs) are sensitive tools for remote prote...
Molecular biologists use Hidden Markov Models (HMMs) as a popular tool to statistically describe pro...
With the advent of several accurate and sophisticated statistical algorithms and pipelines for DNA s...
HMMER is a software suite for protein sequence similarity searches using probabilistic methods. Prev...
With increasing size of sequence databases heuristic search approaches have become necessary. Hidden...
Profile Hidden Markov models are highly expressive representations of functional units, or motifs, c...
BACKGROUND: HH-suite is a widely used open source software suite for sensitive sequence similarity s...
International audienceWe propose a new parallelization scheme for the hmmsearch function of the HMME...
International audienceHMMER is a widely used tool in bioinformatics, based on Profile Hidden Markov ...
We present PIO-HMMER, an enhanced version of MPI-HMMER. PIO-HMMER improves on MPI-HMMER’s scalabilit...
International audienceHMMER is a widely used tool in bioinformatic, based on the Profile Hidden Mark...
The proliferation of biological sequence data has motivated the need for an extremely fast probabili...
Introduction HMMs have been proven useful in protein sequence analysis [1]. However, a full search ...
HMMER is a software suite for protein sequence similarity searches using probabilistic methods. Prev...
We will introduce a way how we can achieve high speed homology search by only adding one off-the-she...
Abstract Background Profile hidden Markov models (profile-HMMs) are sensitive tools for remote prote...
Molecular biologists use Hidden Markov Models (HMMs) as a popular tool to statistically describe pro...
With the advent of several accurate and sophisticated statistical algorithms and pipelines for DNA s...
HMMER is a software suite for protein sequence similarity searches using probabilistic methods. Prev...
With increasing size of sequence databases heuristic search approaches have become necessary. Hidden...
Profile Hidden Markov models are highly expressive representations of functional units, or motifs, c...
BACKGROUND: HH-suite is a widely used open source software suite for sensitive sequence similarity s...