SAGE

Evolutionary Bioinformatics Template

Write in a clean editor, then format for Evolutionary Bioinformatics in one click — DocuGuru applies the official SAGE template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Evolutionary Bioinformatics format

Evolutionary Bioinformatics is a peer-reviewed journal published by SAGE, covering Genomics and Phylogenetic Studies, RNA and protein synthesis mechanisms, Genetic diversity and population structure.

PublisherSAGE
Reference styleNumbered (Vancouver)
Numbered — [1], [2] in the text
1. Smith A, Jones B, Lee C. A representative article title. Evolutionary Bioinformatics. 2023;12(3):45–58.

Formats any DOI in Evolutionary Bioinformatics style. No sign-up.

Publishes research inGenomics and Phylogenetic Studies RNA and protein synthesis mechanisms Genetic diversity and population structure Bioinformatics and Genomic Networks Machine Learning in Bioinformatics
ISSN1176-9343
Citation impact (2-yr)1.54
h-index48
i10-index310
Total citations21,729
Article processing charge$2,000
Open accessYes
Top institutions publishing hereChinese Academy of Sciences
Journal websitela-press.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Evolutionary Bioinformatics per year

22
2014
49
2015
60
2016
27
2017
33
2018
62
2019
50
2020
30
2021
29
2022
17
2023
18
2024
3
2025

Citation impact of Evolutionary Bioinformatics by publication year

515
2014
1.5K
2015
1.2K
2016
287
2017
689
2018
744
2019
596
2020
428
2021
147
2022
78
2023
40
2024
2
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Evolutionary Bioinformatics

Arlequin (version 3.0): An integrated software package for population genetics data analysis

Laurent Excoffier, Guillaume Laval, Stefan Schneider · 1 Jan 2005

Arlequin ver 3.0 is a software package integrating several basic and advanced methods for population genetics data analysis, like the computation of standard genetic diversity indices, the estimation of allele and haplotype frequencies, tests of departure from linkage equilibrium, departure from selective neutrality and demographic equilibrium, estimation or parameters from past population expansions, and thorough…

8,144 citations Cite SaveGo to paper →
Intraspecific <i>ITS</i> Variability in the Kingdom <i>Fungi</i> as Expressed in the International Sequence Databases and Its Implications for Molecular Species Identification

R. Henrik Nilsson, Erik Kristiansson, Martin Ryberg et al. · 1 Jan 2008

The internal transcribed spacer (ITS) region of the nuclear ribosomal repeat unit is the most popular locus for species identification and subgeneric phylogenetic inference in sequence-based mycological research. The region is known to show certain variability even within species, although its intraspecific variability is often held to be limited and clearly separated from interspecific variability.…

A RESTful API for Access to Phylogenetic Tools via the CIPRES Science Gateway

Mark A. Miller, Terri Schwartz, Brett E Pickett et al. · 1 Jan 2015

The CIPRES Science Gateway is a community web application that provides public access to a set of parallel tree inference and multiple sequence alignment codes run on large computational resources. These resources are made available at no charge to users by the NSF Extreme Science and Engineering Discovery Environment (XSEDE) project. Here we describe the…

Metagenomics, Metatranscriptomics, and Metabolomics Approaches for Microbiome Analysis

Vanessa Aguiar‐Pulido, Wenrui Huang, Victoria Suárez-Ulloa et al. · 1 Jan 2016

Microbiomes are ubiquitous and are found in the ocean, the soil, and in/on other living organisms. Changes in the microbiome can impact the health of the environmental niche in which they reside. In order to learn more about these communities, different approaches based on data from multiple omics have been pursued. Metagenomics produces a taxonomical…

LASER: A Maximum Likelihood Toolkit for Detecting Temporal Shifts in Diversification Rates from Molecular Phylogenies

Daniel L. Rabosky · 1 Jan 2006

Rates of species origination and extinction can vary over time during evolutionary radiations, and it is possible to reconstruct the history of diversification using molecular phylogenies of extant taxa only. Maximum likelihood methods provide a useful framework for inferring temporal variation in diversification rates. LASER is a package for the R programming environment that implements…

Evolutionary Bioinformatics template — frequently asked questions

How do I write a paper in the Evolutionary Bioinformatics format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Evolutionary Bioinformatics template. When you export, DocuGuru compiles the paper into the official SAGE format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Evolutionary Bioinformatics use?
Evolutionary Bioinformatics uses Numbered (Vancouver) references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: 1. Smith A, Jones B, Lee C. A representative article title. Evolutionary Bioinformatics. 2023;12(3):45–58.
Do I need to know LaTeX to submit to Evolutionary Bioinformatics?
No. DocuGuru generates the sagej LaTeX class and compiles the PDF for you in the background, so you get a SAGE-ready Evolutionary Bioinformatics document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Evolutionary Bioinformatics template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Evolutionary Bioinformatics format with correct headings, figures, tables, and numbered citations.
Who publishes Evolutionary Bioinformatics?
Evolutionary Bioinformatics is a multidisciplinary journal published by SAGE. DocuGuru's Evolutionary Bioinformatics template matches SAGE's official submission format.
Can I export a submission-ready Evolutionary Bioinformatics PDF?
Yes — DocuGuru produces a PDF built with the official Evolutionary Bioinformatics template (the sagej class) that is ready to submit to SAGE, together with the matching LaTeX source files.
How much does the Evolutionary Bioinformatics template cost?
You can start writing in the Evolutionary Bioinformatics template for free. Exporting the final submission-ready Evolutionary Bioinformatics PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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