Evidence map›Paper›PMID 27004904›Full record

ArticleMolecular biology and evolution2016

MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

Sudhir Kumar, Glen Stecher, Koichiro Tamura

Open access · bronzeAbstract read
In one paragraph

Article in Molecular biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18,488 papers.

0numbers the graph read from it
0cells of the map it votes in
18,488citing papers in PubMed
2618.1field-weighted citation impact, top 1% 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

18,488 citing papers in PubMed, 45,127 citations in OpenAlex.

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18,428 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Sudhir KumarInstitute for Genomics and Evolutionary Medicine, Temple University Department of Biology, Temple University Center for Excellence in Genome Medicine and Research, King Abdulaziz University, Jeddah, Saudi Arabia.
Glen StecherInstitute for Genomics and Evolutionary Medicine, Temple University.
Koichiro TamuraResearch Center for Genomics and Bioinformatics, Tokyo Metropolitan University, Hachioji, Tokyo, Japan Department of Biological Sciences, Tokyo Metropolitan University, Hachioji, Tokyo, Japan ktamura@tmu.ac.jp.
Temple University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been optimized for use on 64-bit computing systems for analyzing larger datasets. Researchers can now explore and analyze tens of thousands of sequences in Mega The new version also provides an advanced wizard for building timetrees and includes a new functionality to automatically predict gene duplication events in gene family trees. The 64-bit Mega is made available in two interfaces: graphical and command line. The graphical user interface (GUI) is a native Microsoft Windows application that can also be used on Mac OS X. The command line Mega is available as native applications for Windows, Linux, and Mac OS X. They are intended for use in high-throughput and scripted analysis. Both versions are available from www.megasoftware.net free of charge.

Indexed as

Databases, GeneticEvolution, MolecularAlgorithmsBiological EvolutionDatasets as TopicInternetPhylogenySequence AlignmentSequence AnalysisSoftwareUser-Computer Interfaceevolution.gene familiessoftwaretimetree

Identifiers

PMID27004904
PMCPMC8210823
OpenAlexW2311203695

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.