Evidence map›Paper›PMID 31609429›Full record

ArticleBioinformatics (Oxford, England)2020

Dynalogo: an interactive sequence logo with dynamic thresholding of matched quantitative proteomic data.

Adam T Lafontaine, Bruce J Mayer, Kazuya Machida

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Adam T LafontaineRichard D. Berlin Center for Cell Analysis and Modeling.
Bruce J MayerRichard D. Berlin Center for Cell Analysis and Modeling.
Kazuya MachidaDepartment of Genetics and Genome Sciences, University of Connecticut School of Medicine, Farmington, CT 06030, USA.

Funding

Dynamics and Topology of Phosphotyrosine-SH2 Interaction NetworksU01CA154966 · NCI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI MAYER, BRUCE J., WHITE, FOREST M · 2011 to 2015
$2.4M
NCI NIH HHS U01 CA154966
6 · The paper itself

Abstract

summaryCurrent web-based sequence logo analyses for studying domain-peptide interactions are often conducted only on high affinity binders due to conservative data thresholding. We have developed Dynalogo, a combination of threshold varying tool and sequence logo generator written in the R statistical programming language, which allows on-the-fly visualization of binding specificity over a wide range of affinity interactions. Hence researchers can easily explore their dataset without the constraint of an arbitrary threshold. After importing quantitative data files, there are various data filtering and visualizing features available. Using a threshold control, users can easily track the dynamic change of enrichment and depletion of amino acid characters in the sequence logo panel. The built-in export function allows downloading filtered data and graphical outputs for further analyses. Dynalogo is optimized for analysis of modular domain-peptide binding experiments but the platform offers a broader application including quantitative proteomics. AVAILABILITY AND IMPLEMENTATION: Dynalogo application, user manual and sample data files are available at https://dynalogo.cam.uchc.edu. The source code is available at https://github.com/lafontaine-uchc/dynalogo. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

ProteomicsSoftwareComputersPosition-Specific Scoring MatricesProgramming Languages

Identifiers

PMID31609429
PMCPMC7523650

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.