GHOSTZ statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.

Subscribe
info

Citations per year

Citations chart
info

Popular tool citations

chevron_left Protein database search chevron_right
Popular tools chart
info

Tool usage distribution map

Tool usage distribution map
info

Associated diseases

Associated diseases

GHOSTZ specifications

Information


Unique identifier OMICS_07991
Name GHOSTZ
Software type Package/Module
Interface Command line interface
Restrictions to use None
Output format GHOSTZ outputs search results in the format similar to BLAST-tabular format.
Operating system Unix/Linux
Computer skills Advanced
Version 1.0.0
Stability Stable
Requirements
gcc
Maintained Yes

Versioning


Add your version

Maintainer


  • person_outline Yutaka Akiyama <>

Publication for GHOSTZ

GHOSTZ in publications

 (2)
PMCID: 5924555
PMID: 29659530
DOI: 10.3390/genes9040213

[…] in the genome (). , the protein sequences predicted from the yangtze finless porpoise genome were aligned with entries in the swiss-prot and trembl databases with e-values < 1 × 10−5 using ghostz []. we used interproscan v5.25-64.0 to annotate detected motifs and domains by searching public databases (pfam, prodom, smart, prints, and panther), and the kyoto encyclopedia of genes […]

PMCID: 4970815
PMID: 27482905
DOI: 10.1371/journal.pone.0157338

[…] size. to accelerate computing analyses, graphics processing units (gpus) are widely used as a low-cost, high-performance computing platform. therefore, we mapped the time-consuming steps involved in ghostz, which is a state-of-the-art homology search algorithm for protein sequences, onto a gpu and implemented it as ghostz-gpu. in addition, we optimized memory access for gpu calculations […]


To access a full list of publications, you will need to upgrade to our premium service.

GHOSTZ institution(s)
Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan
GHOSTZ funding source(s)
This work was supported by a Grant-in-Aid for the Japan Society for the Promotion of Science (JSPS) Fellows [Grant number 248766], the Strategic Programs for Innovative Research (SPIRE) Field 1 Supercomputational Life Science of the Ministry of Education, Culture, Sports, Science and Technology (MEXT) in Japan and Cancer Research Development funding from the National Cancer Center, Japan.

GHOSTZ reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review GHOSTZ