Evidence map›Paper›PMID 24132122›Full record

ArticleMolecular biology and evolution2013

MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.

Koichiro Tamura, Glen Stecher, Daniel Peterson, Alan Filipski, Sudhir Kumar

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15,075 papers.

0numbers the graph read from it
0cells of the map it votes in
15,075citing papers in PubMed
–field-weighted citation impact
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

15,075 citing papers in PubMed.

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  9. Selection of acid sulfate purple nonsulfur bacteria for mitigating methane emissions from paddy soils in the Mekong Delta, Vietnam.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
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  14. Characterization of the Complete Mitochondrial Genome ofAnimals : an open access journal from MDPI · 2026
    Article
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  20. Article

15,015 more citing papers are in PubMed but not listed here.

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.

Koichiro TamuraResearch Center for Genomics and Bioinformatics, Tokyo Metropolitan University, Hachioji, Tokyo, Japan.
Glen Stecher
Daniel Peterson
Alan Filipski
Sudhir Kumar

Funding

COMPARATIVE MOLECULAR SEQUENCE ANALYSISR01HG002096 · NHGRI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI KUMAR, SUDHIR · 2000 to 2013
$3.0M
A phylogenetic approach to metagenomic analysisR21HG006039 · NHGRI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI FILIPSKI, ALAN · 2011 to 2012
$419k
NHGRI NIH HHS HG002096-12NHGRI NIH HHS HG006039-03NHGRI NIH HHS R01 HG002096NHGRI NIH HHS R21 HG006039
6 · The paper itself

Abstract

We announce the release of an advanced version of the Molecular Evolutionary Genetics Analysis (MEGA) software, which currently contains facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis. In version 6.0, MEGA now enables the inference of timetrees, as it implements the RelTime method for estimating divergence times for all branching points in a phylogeny. A new Timetree Wizard in MEGA6 facilitates this timetree inference by providing a graphical user interface (GUI) to specify the phylogeny and calibration constraints step-by-step. This version also contains enhanced algorithms to search for the optimal trees under evolutionary criteria and implements a more advanced memory management that can double the size of sequence data sets to which MEGA can be applied. Both GUI and command-line versions of MEGA6 can be downloaded from www.megasoftware.net free of charge.

Indexed as

Evolution, MolecularSoftwareUser-Computer InterfaceAlgorithmsDatabases, GeneticInternetPhylogenyphylogenyrelaxed clockssoftware

Identifiers

PMID24132122
PMCPMC3840312

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.