Example of International Journal of Bioinformatics Research and Applications format
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Example of International Journal of Bioinformatics Research and Applications format Example of International Journal of Bioinformatics Research and Applications format Example of International Journal of Bioinformatics Research and Applications format Example of International Journal of Bioinformatics Research and Applications format Example of International Journal of Bioinformatics Research and Applications format Example of International Journal of Bioinformatics Research and Applications format Example of International Journal of Bioinformatics Research and Applications format
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Example of International Journal of Bioinformatics Research and Applications format Example of International Journal of Bioinformatics Research and Applications format Example of International Journal of Bioinformatics Research and Applications format Example of International Journal of Bioinformatics Research and Applications format Example of International Journal of Bioinformatics Research and Applications format Example of International Journal of Bioinformatics Research and Applications format Example of International Journal of Bioinformatics Research and Applications format
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This content is only for preview purposes. The original open access content can be found here.
open access Open Access

International Journal of Bioinformatics Research and Applications — Template for authors

Categories Rank Trend in last 3 yrs
Health Information Management #33 of 39 down down by 12 ranks
Health Informatics #87 of 95 down down by 35 ranks
Biomedical Engineering #212 of 229 down down by 47 ranks
Clinical Biochemistry #107 of 113 down down by 3 ranks
journal-quality-icon Journal quality:
Low
calendar-icon Last 4 years overview: 85 Published Papers | 46 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 11/06/2020
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Related Journals

open access Open Access
recommended Recommended

SAGE

Quality:  
High
CiteRatio: 4.3
SJR: 0.603
SNIP: 1.079
open access Open Access

Hindawi

Quality:  
High
CiteRatio: 4.6
SJR: 0.509
SNIP: 1.422
open access Open Access

Hindawi

Quality:  
Good
CiteRatio: 3.1
SJR: 0.363
SNIP: 1.189

Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

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

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.

0.5

38% from 2019

CiteRatio for International Journal of Bioinformatics Research and Applications from 2016 - 2020
Year Value
2020 0.5
2019 0.8
2018 0.9
2017 0.8
2016 0.9
graph view Graph view
table view Table view

0.109

9% from 2019

SJR for International Journal of Bioinformatics Research and Applications from 2016 - 2020
Year Value
2020 0.109
2019 0.12
2018 0.149
2017 0.157
2016 0.179
graph view Graph view
table view Table view

0.203

42% from 2019

SNIP for International Journal of Bioinformatics Research and Applications from 2016 - 2020
Year Value
2020 0.203
2019 0.35
2018 0.27
2017 0.232
2016 0.306
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has decreased by 38% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has decreased by 9% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 42% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

International Journal of Bioinformatics Research and Applications

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Inderscience Publishers

International Journal of Bioinformatics Research and Applications

Bioinformatics is a new scientific discipline that combines biology, computer science, mathematics, and statistics into a broad-based field that will have profound impacts on all fields of biology. Bioinformatics is expected to substantially impact on scientific, engineering a...... Read More

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Last updated on
11 Jun 2020
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ISSN
1744-5485
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Impact Factor
Low - 0.253
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Open Access
No
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Sherpa RoMEO Archiving Policy
Yellow faq
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
plainnat
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Citation Type
Author Year
(Blonder et al., 1982)
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Bibliography Example
Beenakker, C. W. J. (2006). ‘Specular Andreev Reflection in Graphene’. Phys. Rev. Lett., Vol 97, No 6, pp. 067007.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1504/IJBRA.2007.015005
The my Grid ontology: bioinformatics service discovery
Katy Wolstencroft1, Pinar Alper1, Duncan Hull1, C. Wroe2, Phillip Lord3, Robert Stevens1, Carole Goble1

Abstract:

myGrid supports in silico experiments in the life sciences, enabling the design and enactment of workflows as well as providing components to assist service discovery, data and metadata management. The myGrid ontology is one component in a larger semantic discovery framework for the identification of the highly distributed an... myGrid supports in silico experiments in the life sciences, enabling the design and enactment of workflows as well as providing components to assist service discovery, data and metadata management. The myGrid ontology is one component in a larger semantic discovery framework for the identification of the highly distributed and heterogeneous bioinformatics services in the public domain. From an initial model of formal OWL-DL semantics throughout, we now adopt a spectrum of expressivity and reasoning for different tasks in service annotation and discovery. Here, we discuss the development and use of the myGrid ontology and our experiences in semantic service discovery. read more read less

Topics:

Service discovery (62%)62% related to the paper, Ontology (information science) (60%)60% related to the paper, Metadata management (53%)53% related to the paper, Description logic (51%)51% related to the paper, Service (systems architecture) (50%)50% related to the paper
View PDF
96 Citations
Journal Article DOI: 10.1504/IJBRA.2006.009195
A novel approach to medical image compression
Matthew J. Zukoski1, Terrance E. Boult2, Tunç A. Iyriboz3

Abstract:

As medical/biological imaging facilities move towards complete film-less imaging, compression plays a key role. Although lossy compression techniques yield high compression rates, the medical community has been reluctant to adopt these methods, largely for legal reasons, and has instead relied on lossless compression techniqu... As medical/biological imaging facilities move towards complete film-less imaging, compression plays a key role. Although lossy compression techniques yield high compression rates, the medical community has been reluctant to adopt these methods, largely for legal reasons, and has instead relied on lossless compression techniques that yield low compression rates. The true goal is to maximise compression while maintaining clinical relevance and balancing legal risk. This paper proposes a novel model-based compression technique that makes use of clinically relevant regions as defined by radiologists. Lossless compression is used in these clinically relevant regions, and lossy compression is used everywhere else. read more read less

Topics:

Lossless compression (73%)73% related to the paper, Data compression (71%)71% related to the paper, Image compression (68%)68% related to the paper, Lossy compression (68%)68% related to the paper, JPEG (60%)60% related to the paper
View PDF
66 Citations
Journal Article DOI: 10.1504/IJBRA.2010.034072
MEGA biocentric software for sequence and phylogenetic analysis: a review
Vipan Kumar Sohpal, Apurba Dey1, Amarpal Singh

Abstract:

Biocomputing has moved into central position in molecular biology research. Enormous improvements in genetic engineering have led to the accumulation of a vast amount of biological information. With the advent of this extensive repertoire of raw sequence information, the next major challenge for a modern researcher is to inte... Biocomputing has moved into central position in molecular biology research. Enormous improvements in genetic engineering have led to the accumulation of a vast amount of biological information. With the advent of this extensive repertoire of raw sequence information, the next major challenge for a modern researcher is to interpret this biological information. Molecular Evolutionary Genetic Analysis (MEGA) is bio-computational software to fill the vacuum between data development and analysis. In this paper, an attempt to review the evolution of MEGA software, working and application has been made. Moreover, data analysis, implementation and advantages over other bioinformatics software have been discussed systematically. read more read less

Topics:

Mega- (54%)54% related to the paper
55 Citations
Journal Article DOI: 10.1504/IJBRA.2013.052447
Identification of motor imagery tasks through CC-LR algorithm in brain computer interface
Siuly1, Yan Li1, Peng Wen1

Abstract:

This study focuses on the identification of Motor Imagery MI tasks for the development of Brain Computer Interface BCI technologies combining Cross-Correlation and Logistic Regression CC-LR techniques. The proposed method is tested on two benchmark data sets, IVa and IVb of BCI Competition III, and the performance is evaluate... This study focuses on the identification of Motor Imagery MI tasks for the development of Brain Computer Interface BCI technologies combining Cross-Correlation and Logistic Regression CC-LR techniques. The proposed method is tested on two benchmark data sets, IVa and IVb of BCI Competition III, and the performance is evaluated through a 3-fold cross-validation procedure. The experimental outcomes are compared with two recently reported algorithms, R-Common Spatial Pattern CSP with aggregation and Clustering Technique CT-based Least Square Support Vector Machine LS-SVM and also other four algorithms using data set IVa. The results demonstrate that our proposed method results in an improvement of at least 3.47% compared with the existing methods tested. read more read less

Topics:

Cluster analysis (52%)52% related to the paper, Support vector machine (51%)51% related to the paper
53 Citations
Journal Article DOI: 10.1504/IJBRA.2006.010602
Phylogenetic analysis using complete signature information of whole genomes and clustered Neighbour-Joining method
Xiaomeng Wu1, Xiu-Feng Wan2, Gang Wu1, Dong Xu3, Guohui Lin1

Abstract:

A new method called Complete Composition Vector (CCV), which is a collection of Composition Vectors (CV), is described to infer evolutionary relationships between species using their complete genomic sequences. Such a method bypasses the complexity of performing multiple sequence alignments and avoids the ambiguity of choosin... A new method called Complete Composition Vector (CCV), which is a collection of Composition Vectors (CV), is described to infer evolutionary relationships between species using their complete genomic sequences. Such a method bypasses the complexity of performing multiple sequence alignments and avoids the ambiguity of choosing individual genes for species tree construction. It is expected to effectively retain the rich evolutionary information contained in the whole genomic sequence. The method was applied to infer the evolutionary footprints for several datasets that have been previously studied. The final phylogenies were built by an improved clustered Neighbour-Joining method. The generated phylogenetic trees are highly consistent with taxonomy hierarchy and previous studies, with some biologically interesting disagreements. read more read less

Topics:

Phylogenetic network (60%)60% related to the paper, Computational phylogenetics (59%)59% related to the paper, Phylogenetic tree (57%)57% related to the paper
53 Citations
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International Journal of Bioinformatics Research and Applications format uses plainnat citation style.

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Frequently asked questions

1. Can I write International Journal of Bioinformatics Research and Applications in LaTeX?

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

2. Do you follow the International Journal of Bioinformatics Research and Applications guidelines?

Yes, the template is compliant with the International Journal of Bioinformatics Research and Applications 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 International Journal of Bioinformatics Research and Applications?

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 International Journal of Bioinformatics Research and Applications citation style.

4. Can I use the International Journal of Bioinformatics Research and Applications 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 International Journal of Bioinformatics Research and Applications.

5. Can I use a manuscript in International Journal of Bioinformatics Research and Applications 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 International Journal of Bioinformatics Research and Applications that you can download at the end.

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

7. Where can I find the template for the International Journal of Bioinformatics Research and Applications?

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8. Can I reformat my paper to fit the International Journal of Bioinformatics Research and Applications'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. International Journal of Bioinformatics Research and Applications an online tool or is there a desktop version?

SciSpace's International Journal of Bioinformatics Research and Applications 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.

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12. Is International Journal of Bioinformatics Research and Applications'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 International Journal of Bioinformatics Research and Applications?

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 International Journal of Bioinformatics Research and Applications. 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 International Journal of Bioinformatics Research and Applications?

The 5 most common citation types in order of usage for International Journal of Bioinformatics Research and Applications 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 International Journal of Bioinformatics Research and Applications?

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 International Journal of Bioinformatics Research and Applications's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download International Journal of Bioinformatics Research and Applications 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 International Journal of Bioinformatics Research and Applications Endnote style according to Elsevier guidelines.

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