Author Info
Name
Affiliation
Papers
TAKASHI ISHIDA
Department of Computer Science, Graduate School of Information Science and Engineering,Tokyo Institute of Technology, Ookayama,Meguro, Tokyo,Japan
15
Collaborators
Citations 
PageRank 
22
41
6.58
Referers 
Referees 
References 
145
255
69
Search Limit
100255
Title
Citations
PageRank
Year
Development of Computational Pipeline Software for Genome/Exome Analysis on the K Computer.00.342020
Spresso: an ultrafast compound pre-screening method based on compound decomposition.20.462017
Faster sequence homology searches by clustering subsequences.70.722015
Protein-protein docking on hardware accelerators: comparison of GPU and MIC architectures.40.422015
MEGADOCK 4.0: an ultra-high-performance protein-protein docking software for heterogeneous supercomputers.50.452014
Metagenomic Phylogenetic Classification Using Improved Naive Bayes00.342014
MEGADOCK-GPU: Acceleration of Protein-Protein Docking Calculation on GPUs20.442013
Improvement of Protein-Protein Interaction Prediction by Integrating Template-Based and Template-Free Protein Docking00.342013
MEGADOCK 3.0: a high-performance protein-protein interaction prediction software using hybrid parallel computing for petascale supercomputing environments.70.622013
The MEGADOCK project: Ultra-high-speed protein-protein interaction prediction tools on supercomputing environments00.342013
Acceleration of sequence clustering using longest common subsequence filtering.70.382013
Improvement of the protein---protein docking prediction by introducing a simple hydrophobic interaction model: an application to interaction pathway analysis50.682012
An Ultra-Fast Computing Pipeline for Metagenome Analysis with Next-Generation DNA Sequencers00.342012
Poster: An Ultra-Fast Computing Pipeline for Metagenome Analysis with Next-Generation DNA Sequencers10.362012
Fast DNA Sequence Clustering Based on Longest Common Subsequence.10.382012