Example of Briefings in Bioinformatics format
Recent searches

Example of Briefings in Bioinformatics format Example of Briefings in Bioinformatics format Example of Briefings in Bioinformatics format Example of Briefings in Bioinformatics format Example of Briefings in Bioinformatics format Example of Briefings in Bioinformatics format Example of Briefings in Bioinformatics format Example of Briefings in Bioinformatics format Example of Briefings in Bioinformatics format Example of Briefings in Bioinformatics format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
Look Inside
Example of Briefings in Bioinformatics format Example of Briefings in Bioinformatics format Example of Briefings in Bioinformatics format Example of Briefings in Bioinformatics format Example of Briefings in Bioinformatics format Example of Briefings in Bioinformatics format Example of Briefings in Bioinformatics format Example of Briefings in Bioinformatics format Example of Briefings in Bioinformatics format Example of Briefings in Bioinformatics format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
open access Open Access
recommended Recommended

Briefings in Bioinformatics — Template for authors

Categories Rank Trend in last 3 yrs
Medicine (all) #10 of 793 down down by None rank
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 568 Published Papers | 9455 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 08/06/2020
Related journals
Insights
General info
Top papers
Popular templates
Get started guide
Why choose from SciSpace
FAQ

Related Journals

open access Open Access

Taylor and Francis

Quality:  
High
CiteRatio: 2.8
SJR: 0.806
SNIP: 1.28
open access Open Access

Springer

Quality:  
High
CiteRatio: 3.1
SJR: 0.859
SNIP: 1.433
open access Open Access

SAGE

Quality:  
High
CiteRatio: 4.5
SJR: 0.914
SNIP: 1.191
open access Open Access
recommended Recommended

SAGE

Quality:  
High
CiteRatio: 8.6
SJR: 1.669
SNIP: 1.889

Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

8.99

1% from 2018

Impact factor for Briefings in Bioinformatics from 2016 - 2019
Year Value
2019 8.99
2018 9.101
2017 6.302
2016 5.134
graph view Graph view
table view Table view

16.6

30% from 2019

CiteRatio for Briefings in Bioinformatics from 2016 - 2020
Year Value
2020 16.6
2019 12.8
2018 9.5
2017 9.1
2016 15.6
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 1% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 30% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

3.204

3% from 2019

SJR for Briefings in Bioinformatics from 2016 - 2020
Year Value
2020 3.204
2019 3.109
2018 2.748
2017 2.505
2016 4.372
graph view Graph view
table view Table view

2.598

22% from 2019

SNIP for Briefings in Bioinformatics from 2016 - 2020
Year Value
2020 2.598
2019 2.126
2018 1.512
2017 1.674
2016 2.324
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has increased by 3% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 22% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
Briefings in Bioinformatics

Guideline source: View

All company, product and service names used in this website are for identification purposes only. All product names, trademarks and registered trademarks are property of their respective owners.

Use of these names, trademarks and brands does not imply endorsement or affiliation. Disclaimer Notice

Oxford University Press

Briefings in Bioinformatics

Briefings in Bioinformatics is a review journal and does not publish original research. The aim of Briefings in Bioinformatics is to provide an indispensable resource for the experimental practitioner seeking awareness of the disparate sources of data and analytical tools of c...... Read More

Information Systems

Molecular Biology

Computer Science

i
Last updated on
08 Jun 2020
i
ISSN
1467-5463
i
Acceptance Rate
Not provided
i
Frequency
Not provided
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
unsrt
i
Citation Type
Numbered
(25)
i
Bibliography Example
Blonder, G. E., Tinkham, M., and Klapwijk, T. M. (1982). Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion. Phys. Rev. B, 25(7), 4515–4532.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1093/BIB/5.2.150
MEGA3: Integrated software for Molecular Evolutionary Genetics Analysis and sequence alignment
Sudhir Kumar1, Koichiro Tamura2, Masatoshi Nei3

Abstract:

With its theoretical basis firmly established in molecular evolutionary and population genetics, the comparative DNA and protein sequence analysis plays a central role in reconstructing the evolutionary histories of species and multigene families, estimating rates of molecular evolution, and inferring the nature and extent of... With its theoretical basis firmly established in molecular evolutionary and population genetics, the comparative DNA and protein sequence analysis plays a central role in reconstructing the evolutionary histories of species and multigene families, estimating rates of molecular evolution, and inferring the nature and extent of selective forces shaping the evolution of genes and genomes. The scope of these investigations has now expanded greatly owing to the development of high-throughput sequencing techniques and novel statistical and computational methods. These methods require easy-to-use computer programs. One such effort has been to produce Molecular Evolutionary Genetics Analysis (MEGA) software, with its focus on facilitating the exploration and analysis of the DNA and protein sequence variation from an evolutionary perspective. Currently in its third major release, MEGA3 contains facilities for automatic and manual sequence alignment, web-based mining of databases, inference of the phylogenetic trees, estimation of evolutionary distances and testing evolutionary hypotheses. This paper provides an overview of the statistical methods, computational tools, and visual exploration modules for data input and the results obtainable in MEGA. read more read less

Topics:

Computational phylogenetics (57%)57% related to the paper, Alignment-free sequence analysis (56%)56% related to the paper, Molecular evolution (55%)55% related to the paper, Human evolutionary genetics (52%)52% related to the paper, Phylogenetics (50%)50% related to the paper
View PDF
12,124 Citations
open accessOpen access Journal Article DOI: 10.1093/BIB/BBS017
Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration
Helga Thorvaldsdottir1, James T. Robinson, Jill P. Mesirov

Abstract:

Data visualization is an essential component of genomic data analysis. However, the size and diversity of the data sets produced by today’s sequencing and array-based profiling methods present major challenges to visualization tools. The Integrative Genomics Viewer (IGV) is a high-performance viewer that efficiently handles l... Data visualization is an essential component of genomic data analysis. However, the size and diversity of the data sets produced by today’s sequencing and array-based profiling methods present major challenges to visualization tools. The Integrative Genomics Viewer (IGV) is a high-performance viewer that efficiently handles large heterogeneous data sets, while providing a smooth and intuitive user experience at all levels of genome resolution. A key characteristic of IGV is its focus on the integrative nature of genomic studies, with support for both array-based and next-generation sequencing data, and the integration of clinical and phenotypic data. Although IGV is often used to view genomic data from public sources, its primary emphasis is to support researchers who wish to visualize and explore their own data sets or those from colleagues. To that end, IGV supports flexible loading of local and remote data sets, and is optimized to provide high-performance data visualization and exploration on standard desktop systems. IGV is freely available for download from http://www.broadinstitute.org/igv, under a GNU LGPL open-source license. read more read less

Topics:

Data visualization (52%)52% related to the paper
View PDF
6,930 Citations
open accessOpen access Journal Article DOI: 10.1093/BIB/BBX108
MAFFT online service: Multiple sequence alignment, interactive sequence choice and visualization
Kazutaka Katoh1, John Rozewicki1, Kazunori D. Yamada

Abstract:

This article describes several features in the MAFFT online service for multiple sequence alignment (MSA). As a result of recent advances in sequencing technologies, huge numbers of biological sequences are available and the need for MSAs with large numbers of sequences is increasing. To extract biologically relevant informat... This article describes several features in the MAFFT online service for multiple sequence alignment (MSA). As a result of recent advances in sequencing technologies, huge numbers of biological sequences are available and the need for MSAs with large numbers of sequences is increasing. To extract biologically relevant information from such data, sophistication of algorithms is necessary but not sufficient. Intuitive and interactive tools for experimental biologists to semiautomatically handle large data are becoming important. We are working on development of MAFFT toward these two directions. Here, we explain (i) the Web interface for recently developed options for large data and (ii) interactive usage to refine sequence data sets and MSAs. read more read less

Topics:

Multiple sequence alignment (55%)55% related to the paper
View PDF
4,135 Citations
open accessOpen access Journal Article DOI: 10.1093/BIB/BBN017
MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences
Sudhir Kumar1, Masatoshi Nei2, Joel T. Dudley3, Koichiro Tamura4

Abstract:

The Molecular Evolutionary Genetics Analysis (MEGA) software is a desktop application designed for comparative analysis of homologous gene sequences either from multigene families or from different species with a special emphasis on inferring evolutionary relationships and patterns of DNA and protein evolution. In addition to... The Molecular Evolutionary Genetics Analysis (MEGA) software is a desktop application designed for comparative analysis of homologous gene sequences either from multigene families or from different species with a special emphasis on inferring evolutionary relationships and patterns of DNA and protein evolution. In addition to the tools for statistical analysis of data, MEGA provides many convenient facilities for the assembly of sequence data sets from files or web-based repositories, and it includes tools for visual presentation of the results obtained in the form of interactive phylogenetic trees and evolutionary distance matrices. Here we discuss the motivation, design principles and priorities that have shaped the development of MEGA. We also discuss how MEGA might evolve in the future to assist researchers in their growing need to analyze large data set using new computational methods. read more read less

Topics:

Mega- (61%)61% related to the paper
View PDF
3,290 Citations
open accessOpen access Journal Article DOI: 10.1093/BIB/BBN013
Recent developments in the MAFFT multiple sequence alignment program
Kazutaka Katoh1, Hiroyuki Toh

Abstract:

The accuracy and scalability of multiple sequence alignment (MSA) of DNAs and proteins have long been and are still important issues in bioinformatics. To rapidly construct a reasonable MSA, we developed the initial version of the MAFFT program in 2002. MSA software is now facing greater challenges in both scalability and acc... The accuracy and scalability of multiple sequence alignment (MSA) of DNAs and proteins have long been and are still important issues in bioinformatics. To rapidly construct a reasonable MSA, we developed the initial version of the MAFFT program in 2002. MSA software is now facing greater challenges in both scalability and accuracy than those of 5 years ago. As increasing amounts of sequence data are being generated by large-scale sequencing projects, scalability is now critical in many situations. The requirement of accuracy has also entered a new stage since the discovery of functional noncoding RNAs (ncRNAs); the secondary structure should be considered for constructing a high-quality alignment of distantly related ncRNAs. To deal with these problems, in 2007, we updated MAFFT to Version 6 with two new techniques: the PartTree algorithm and the Four-way consistency objective function. The former improved the scalability of progressive alignment and the latter improved the accuracy of ncRNA alignment. We review these and other techniques that MAFFTuses and suggest possible future directions of MSA software as a basis of comparative analyses. MAFFT is available at http://align.bmr.kyushu-u.ac.jp/mafft/software/. read more read less

Topics:

Multiple sequence alignment (56%)56% related to the paper
View PDF
3,278 Citations
Author Pic

SciSpace is a very innovative solution to the formatting problem and existing providers, such as Mendeley or Word did not really evolve in recent years.

- Andreas Frutiger, Researcher, ETH Zurich, Institute for Biomedical Engineering

Get MS-Word and LaTeX output to any Journal within seconds
1
Choose a template
Select a template from a library of 40,000+ templates
2
Import a MS-Word file or start fresh
It takes only few seconds to import
3
View and edit your final output
SciSpace will automatically format your output to meet journal guidelines
4
Submit directly or Download
Submit to journal directly or Download in PDF, MS Word or LaTeX

(Before submission check for plagiarism via Turnitin)

clock Less than 3 minutes

What to expect from SciSpace?

Speed and accuracy over MS Word

''

With SciSpace, you do not need a word template for Briefings in Bioinformatics.

It automatically formats your research paper to Oxford University Press formatting guidelines and citation style.

You can download a submission ready research paper in pdf, LaTeX and docx formats.

Time comparison

Time taken to format a paper and Compliance with guidelines

Plagiarism Reports via Turnitin

SciSpace has partnered with Turnitin, the leading provider of Plagiarism Check software.

Using this service, researchers can compare submissions against more than 170 million scholarly articles, a database of 70+ billion current and archived web pages. How Turnitin Integration works?

Turnitin Stats
Publisher Logos

Freedom from formatting guidelines

One editor, 100K journal formats – world's largest collection of journal templates

With such a huge verified library, what you need is already there.

publisher-logos

Easy support from all your favorite tools

Briefings in Bioinformatics format uses unsrt citation style.

Automatically format and order your citations and bibliography in a click.

SciSpace allows imports from all reference managers like Mendeley, Zotero, Endnote, Google Scholar etc.

Frequently asked questions

1. Can I write Briefings in Bioinformatics in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Briefings in Bioinformatics guidelines and auto format it.

2. Do you follow the Briefings in Bioinformatics guidelines?

Yes, the template is compliant with the Briefings in Bioinformatics guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Briefings in Bioinformatics?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Briefings in Bioinformatics citation style.

4. Can I use the Briefings in Bioinformatics templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Briefings in Bioinformatics.

5. Can I use a manuscript in Briefings in Bioinformatics that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Briefings in Bioinformatics that you can download at the end.

6. How long does it usually take you to format my papers in Briefings in Bioinformatics?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Briefings in Bioinformatics.

7. Where can I find the template for the Briefings in Bioinformatics?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Briefings in Bioinformatics's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Briefings in Bioinformatics's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. Briefings in Bioinformatics an online tool or is there a desktop version?

SciSpace's Briefings in Bioinformatics is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like Briefings in Bioinformatics?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like Briefings in Bioinformatics?”

11. What is the output that I would get after using Briefings in Bioinformatics?

After writing your paper autoformatting in Briefings in Bioinformatics, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Briefings in Bioinformatics's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Briefings in Bioinformatics?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Briefings in Bioinformatics. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Briefings in Bioinformatics?

The 5 most common citation types in order of usage for Briefings in Bioinformatics are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the Briefings in Bioinformatics?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Briefings in Bioinformatics's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Briefings in Bioinformatics in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Briefings in Bioinformatics Endnote style according to Elsevier guidelines.

Fast and reliable,
built for complaince.

Instant formatting to 100% publisher guidelines on - SciSpace.

Available only on desktops 🖥

No word template required

Typset automatically formats your research paper to Briefings in Bioinformatics formatting guidelines and citation style.

Verifed journal formats

One editor, 100K journal formats.
With the largest collection of verified journal formats, what you need is already there.

Trusted by academicians

I spent hours with MS word for reformatting. It was frustrating - plain and simple. With SciSpace, I can draft my manuscripts and once it is finished I can just submit. In case, I have to submit to another journal it is really just a button click instead of an afternoon of reformatting.

Andreas Frutiger
Researcher & Ex MS Word user
Use this template