Evidence map›Paper›PMID 26279617›Full record

ArticleEvolutionary bioinformatics online2015

A Visualization Tool for Calculating the Genetic Substitution Patterns Between Two Different Groups.

Insung Ahn, Jin-Hwa Jang, Ha-Yeon Kim, Ji-Hae Lee, Hyeon Seok Son

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Evolutionary bioinformatics online, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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, 2 citations in OpenAlex.

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

5 authors at 2 institutions in 1 country.

Insung AhnBiomedical Prediction Technology Laboratory, Korea Institute of Science and Technology Information, Yuseong-gu, Daejeon, Republic of Korea.
Jin-Hwa JangBiomedical Prediction Technology Laboratory, Korea Institute of Science and Technology Information, Yuseong-gu, Daejeon, Republic of Korea. ; Laboratory of Computational Biology and Bioinformatics, Institute of Health and Environment, Graduate School of Public Health, Seoul National University, Gwanak-gu, Seoul, Republic of Korea.
Ha-Yeon KimLaboratory of Computational Biology and Bioinformatics, Institute of Health and Environment, Graduate School of Public Health, Seoul National University, Gwanak-gu, Seoul, Republic of Korea.
Ji-Hae LeeLaboratory of Computational Biology and Bioinformatics, Institute of Health and Environment, Graduate School of Public Health, Seoul National University, Gwanak-gu, Seoul, Republic of Korea. ; Graduate Program in Bioinformatics, College of Natural Science, Seoul National University, Gwanak-gu, Seoul, Republic of Korea.
Hyeon Seok SonLaboratory of Computational Biology and Bioinformatics, Institute of Health and Environment, Graduate School of Public Health, Seoul National University, Gwanak-gu, Seoul, Republic of Korea. ; Graduate Program in Bioinformatics, College of Natural Science, Seoul National University, Gwanak-gu, Seoul, Republic of Korea.
Seoul National University · KRKorea Research Institute of Chemical Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed simulation tool for influenza virus variation (SimFluVar), an analytics software for calculating genomic variation among members of the influenza virus group. This study is related to computational evolutionary biology and evolutionary bioinformatics. SimFluVar is an analytical tool that can be used to calculate codon substitution patterns of viral genes. Designed to compare a large number of nucleotide sequences, SimFluVar provides precise patterns of codon variations between two viral groups, especially for the influenza virus. SimFluVar also provides useful functions, such as editing and visualization of the result matrix. This new tool can be used to analyze codon variation patterns over time as well as to analyze the genomic differences between viruses obtained from different geographical locations. SimFluVar is developed in C++, and Java RCP is used as a distribution package. SimFluVar, including the associated documentation, manuals, and examples, is publicly available at http://lcbb.snu.ac.kr/simfluvar.

Indexed as

codon variationGC patterninfluenza A virussimulationtransition matrix

Identifiers

PMID26279617
PMCPMC4517834
OpenAlexW956869659

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.