MetaLocGramN 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 Subcellular localization prediction chevron_right
Popular tools chart
info

Tool usage distribution map

Tool usage distribution map
info

Associated diseases

Associated diseases

Protocols

To access compelling stats and trends, optimize your time and resources and pinpoint new correlations, you will need to subscribe to our premium service.

Subscribe

MetaLocGramN specifications

Information


Unique identifier OMICS_01626
Name MetaLocGramN
Interface Web user interface
Restrictions to use Academic or non-commercial use
Computer skills Basic
Stability Stable
Maintained Yes

Maintainer


  • person_outline Magnus Marcin <>

Publication for MetaLocGramN

MetaLocGramN in pipeline

2016
PMCID: 4937211
PMID: 27353754
DOI: 10.1128/mBio.00650-16

[…] of the 10 total replicates (5 biological and 2 technical for each treatment). we compared abundances of proteins between treatments using a student’s t test. localization predictions were made using metalocgramn () and secretomep () for nonclassical secretion prediction. cazy enzymes were predicted using dbcan ()., citation stuart rk, mayali x, boaro aa, zemla a, everroad rc, nilson d, weber pk, […]


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

MetaLocGramN in publications

 (5)
PMCID: 5025611
PMID: 27634541
DOI: 10.1186/s12864-016-2951-4

[…] a limitation of the tool itself, not with the overall pipeline; therefore it is suggested that the researcher should cross-check the findings with other subcellular localization tools such as cello, metalocgramn etc. [, ]. in this manuscript, a universal pipeline is proposed which could be applied on both the gram positive and gram negative bacteria in general; however, it is strongly suggested […]

PMCID: 4545795
PMID: 26287734
DOI: 10.1371/journal.pone.0135065

[…] and outside of the cell frequently involve signal peptides. these n-terminal signal peptides are short chains of mostly hydrophobic amino acids that are cleavable after translocation []. using the metalocgramn predictor we predicted subcellular localizations and the presence of signal peptides for 52 proteins found primarily in the exoproteome rather than in the intracellular proteome. ten […]

PMCID: 4339577
PMID: 25710494
DOI: 10.1371/journal.pone.0116758

[…] format, was used for bioinformatics studies. the subcellular localization of the 948 e. ruminantium protein-coding genes was predicted using three global programs: psortb 3.0 [], cello 2.5 [], and metalocgramn []. the predicted utilization locations of each protein were filtered from raw software output using in-house scripts written in the r programming language and exported to excel. […]

PMCID: 4235887
PMID: 28324309
DOI: 10.1007/s13205-014-0215-z

[…] et al. ). the result of analysis was presented in supplementary material 1. the cello subcellular localization predictor system predicted that both asnases were in the cytoplasmic area. furthermore, metalocgramn analyses suggested that both asnases were expressed in the cytoplasmic area with 65–85 % degrees of confidence. psortb predicted that both enzymes were in the cytoplasmic area […]

PMCID: 3463561
PMID: 23056345
DOI: 10.1371/journal.pone.0046563

[…] t cell response and mild protective effect . the bioinformatic analysis of h. pylori (strain 26695) proteome, conducted with the general localization predictor psortb3 and with the meta-predictor metalocgramn specialized in predicting subcellular localization for proteins from gram-negative bacteria , indicated that this bacterium has around 150 non-cytoplasmic proteins, containing at least […]


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

MetaLocGramN institution(s)
Laboratory of Bioinformatics and Protein Engineering, International Institute of Molecular and Cell Biology Warsaw, Poland

MetaLocGramN reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review MetaLocGramN