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Citations per year

Number of citations per year for the bioinformatics software tool BLiC
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Tool usage distribution map

This map represents all the scientific publications referring to BLiC per scientific context
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BLiC specifications

Information


Unique identifier OMICS_20543
Name BLiC
Alternative name Bayesian Likelihood 2-Components
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes

Taxon


  • Plants and Fungi
    • Saccharomyces cerevisiae

Versioning


No version available

Maintainer


  • person_outline Nir Friedman

Publication for Bayesian Likelihood 2-Components

BLiC citations

 (5)
library_books

Evolutionary Conservation and Diversification of Puf RNA Binding Proteins and Their mRNA Targets

2015
PLoS Biol
PMCID: 4654594
PMID: 26587879
DOI: 10.1371/journal.pbio.1002307

[…] each motif search can be found in .To statistically assess the similarity between motifs, we used position frequency matrices from the six positions downstream of UGUA as input to MotifComparison (p-BLiC, 100 shuffles, no shift permitted between matrices) in the MotifSuite []. MotifComparison calculated the p-value of the Bayesian Likelihood 2-Component (BLiC) score [], and we considered two moti […]

library_books

A functional selection model explains evolutionary robustness despite plasticity in regulatory networks

2012
Mol Syst Biol
PMCID: 3501536
PMID: 23089682
DOI: 10.1038/msb.2012.50

[…] sing all motifs from S. cerevisiae, as described below). We confirmed that the random motifs we constructed were not similar to any known motifs, comparing the random motifs to all known motifs using BLiC (). For each random motif, we scanned for targets in each species (as described above), and ran CladeoScope to reconstruct the ancestral sets. We then computed an empirical P-value for each motif […]

library_books

Yin Yang 1 extends the Myc related transcription factors network in embryonic stem cells

2011
Nucleic Acids Res
PMCID: 3333890
PMID: 22210892
DOI: 10.1093/nar/gkr1290

[…] terature (), and used to build a custom set of 597 models. The YY1 putative binding site identified through de novo motif discovery was added to this set. For some analyses, PWMs were clustered using BLiC (). In this way we could reduce the complexity of our results using a non-redundant set of 229 PWMs.In order to identify over-represented PWMs in the YY1 putative binding sites proximal (±2.5 kb […]

library_books

Extensive protein and DNA backbone sampling improves structure based specificity prediction for C2H2 zinc fingers

2011
Nucleic Acids Res
PMCID: 3113574
PMID: 21343182
DOI: 10.1093/nar/gkr048

[…] triplet positions in each binding site (81 positions total), the preferred base in prediction and experiment match in 79% of cases. As a more refined measure of profile similarity, we calculated the BLiC score () for all triplet positions, as well as an associated P-value. We found that 75% of the positions had a positive BLiC similarity score, and 76% had an associated BLiC P-value <0.05. We con […]

library_books

Inferring PDZ Domain Multi Mutant Binding Preferences from Single Mutant Data

2010
PLoS One
PMCID: 2956758
PMID: 20976110
DOI: 10.1371/journal.pone.0012787

[…] ight be beneficial for cases like the PDZ domain, where the degree of specificity in the ligand columns varies greatly. A biologically-motivated function, such as the Bayesian Likelihood 2-Component (BLiC) function, might better highlight the essential differences, and similarities, between a given pair of PWMs. […]


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BLiC institution(s)
School of Computer Science and Engineering, The Hebrew University, Jerusalem, Israel; Department of Molecular Genetics and Biotechnology, Faculty of Medicine, The Hebrew University, Jerusalem, Israel
BLiC funding source(s)
Supported by grants from the Israeli Science Foundation administered by the Israeli Academy of Sciences and Humanities, The Israeli Cancer Research Foundation, the Human Frontiers Science Program, and the National Institutes of Health.

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