Example of Bioinformatics and Biology Insights format
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Example of Bioinformatics and Biology Insights format Example of Bioinformatics and Biology Insights format Example of Bioinformatics and Biology Insights format Example of Bioinformatics and Biology Insights format Example of Bioinformatics and Biology Insights format Example of Bioinformatics and Biology Insights format Example of Bioinformatics and Biology Insights format Example of Bioinformatics and Biology Insights format Example of Bioinformatics and Biology Insights format Example of Bioinformatics and Biology Insights format Example of Bioinformatics and Biology Insights format
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Example of Bioinformatics and Biology Insights format Example of Bioinformatics and Biology Insights format Example of Bioinformatics and Biology Insights format Example of Bioinformatics and Biology Insights format Example of Bioinformatics and Biology Insights format Example of Bioinformatics and Biology Insights format Example of Bioinformatics and Biology Insights format Example of Bioinformatics and Biology Insights format Example of Bioinformatics and Biology Insights format Example of Bioinformatics and Biology Insights format Example of Bioinformatics and Biology Insights format
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open access Open Access

Bioinformatics and Biology Insights — Template for authors

Publisher: SAGE
Categories Rank Trend in last 3 yrs
Applied Mathematics #165 of 548 down down by 102 ranks
Computational Mathematics #55 of 152 down down by 34 ranks
Computer Science Applications #314 of 693 down down by 146 ranks
Biochemistry #284 of 415 down down by 54 ranks
Molecular Biology #296 of 382 down down by 51 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 63 Published Papers | 181 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 14/07/2020
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Related Journals

open access Open Access
recommended Recommended

Oxford University Press

Quality:  
High
CiteRatio: 9.9
SJR: 3.599
SNIP: 2.056
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Elsevier

Quality:  
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CiteRatio: 6.1
SJR: 1.882
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Bentham Science

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CiteRatio: 2.7
SJR: 0.306
SNIP: 0.383
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recommended Recommended

Taylor and Francis

Quality:  
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CiteRatio: 13.9
SJR: 4.634
SNIP: 2.046

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.

2.9

17% from 2019

CiteRatio for Bioinformatics and Biology Insights from 2016 - 2020
Year Value
2020 2.9
2019 3.5
2018 4.8
2017 3.6
2016 3.5
graph view Graph view
table view Table view

0.556

43% from 2019

SJR for Bioinformatics and Biology Insights from 2016 - 2020
Year Value
2020 0.556
2019 0.973
2018 0.705
2017 1.141
2016 0.846
graph view Graph view
table view Table view

0.503

39% from 2019

SNIP for Bioinformatics and Biology Insights from 2016 - 2020
Year Value
2020 0.503
2019 0.83
2018 0.486
2017 0.677
2016 0.489
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has decreased by 17% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has decreased by 43% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 39% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Bioinformatics and Biology Insights

Guideline source: View

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SAGE

Bioinformatics and Biology Insights

Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap b...... Read More

Gene expression

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Last updated on
14 Jul 2020
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ISSN
1177-9322
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Acceptance Rate
Not Provided
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Frequency
Not Provided
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Open Access
Not Provided
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Sherpa RoMEO Archiving Policy
Green faq
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Endnote Style
Download Available
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Bibliography Name
SageV
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Citation Type
Numbered (Superscripted)
25
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Bibliography Example
Blonder GE, Tinkham M and Klapwijk TM. Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion. Phys. Rev. B 1982; 25(7): 4515–4532. URL 10.1103/PhysRevB.25.4515.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1177/1177932219899051
Multi-omics Data Integration, Interpretation, and Its Application.

Abstract:

To study complex biological processes holistically, it is imperative to take an integrative approach that combines multi-omics data to highlight the interrelationships of the involved biomolecules and their functions. With the advent of high-throughput techniques and availability of multi-omics data generated from a large set... To study complex biological processes holistically, it is imperative to take an integrative approach that combines multi-omics data to highlight the interrelationships of the involved biomolecules and their functions. With the advent of high-throughput techniques and availability of multi-omics data generated from a large set of samples, several promising tools and methods have been developed for data integration and interpretation. In this review, we collected the tools and methods that adopt integrative approach to analyze multiple omics data and summarized their ability to address applications such as disease subtyping, biomarker prediction, and deriving insights into the data. We provide the methodology, use-cases, and limitations of these tools; brief account of multi-omics data repositories and visualization portals; and challenges associated with multi-omics data integration. read more read less
View PDF
1,070 Citations
open accessOpen access Journal Article DOI: 10.4137/BBI.S34610
Use of Metatranscriptomics in Microbiome Research
Stavros Bashiardes1, Gili Zilberman-Schapira1, Eran Elinav1

Abstract:

The human intestinal microbiome is a microbial ecosystem that expresses as many as 100 times more genes than the human host, thereby constituting an important component of the human holobiome, which contributes to multiple health and disease processes. As most commensal species are difficult or impossible to culture, genomic ... The human intestinal microbiome is a microbial ecosystem that expresses as many as 100 times more genes than the human host, thereby constituting an important component of the human holobiome, which contributes to multiple health and disease processes. As most commensal species are difficult or impossible to culture, genomic characterization of microbiome composition and function, under various environmental conditions, comprises a central tool in understanding its roles in health and disease. The first decade of microbiome research was mainly characterized by usage of DNA sequencing-based 16S rDNA and shotgun metagenome sequencing, allowing for the elucidation of microbial composition and genome structure. Technological advances in RNA-seq have recently provided us with an ability to gain insight into the genes that are actively expressed in complex bacterial communities, enabling the elucidation of the functional changes that dictate the microbiome functions at given contexts, its interactions with the host, and functional alterations that accompany the conversion of a healthy microbiome toward a disease-driving configuration. Here, we highlight some of the key metatranscriptomics strategies that are implemented to determine microbiota gene expression and its regulation and discuss the advantages and potential challenges associated with these approaches. read more read less
419 Citations
open accessOpen access Journal Article DOI: 10.4137/BBI.S12462
Metagenomics: Tools and Insights for Analyzing Next-Generation Sequencing Data Derived from Biodiversity Studies

Abstract:

Advances in next-generation sequencing (NGS) have allowed significant breakthroughs in microbial ecology studies. This has led to the rapid expansion of research in the field and the establishment of “metagenomics”, often defined as the analysis of DNA from microbial communities in environmental samples without prior need for... Advances in next-generation sequencing (NGS) have allowed significant breakthroughs in microbial ecology studies. This has led to the rapid expansion of research in the field and the establishment of “metagenomics”, often defined as the analysis of DNA from microbial communities in environmental samples without prior need for culturing. Many metagenomics statistical/computational tools and databases have been developed in order to allow the exploitation of the huge influx of data. In this review article, we provide an overview of the sequencing technologies and how they are uniquely suited to various types of metagenomic studies. We focus on the currently available bioinformatics techniques, tools, and methodologies for performing each individual step of a typical metagenomic dataset analysis. We also provide future trends in the field with respect to tools and technologies currently under development. Moreover, we discuss data management, distribution, and integration tools that are capable of performing comparative metagenomic analyses of multiple datasets using well-established databases, as well as commonly used annotation standards. read more read less
View PDF
408 Citations
open accessOpen access Journal Article DOI: 10.4137/BBI.S7003
Gene Networks Driving Bovine Mammary Protein Synthesis during the Lactation cycle
Massimo Bionaz1, Juan J. Loor1

Abstract:

A crucial role for both insulin and mTOR in the regulation of milk protein synthesis is emerging Bovine mammary biopsies harvested during late-pregnancy through end of subsequent lactation were used to evaluate via quantitative PCR the expression of 44 genes involved in pathways of insulin, mTOR, AMPK, and Jak2-Stat5 signalli... A crucial role for both insulin and mTOR in the regulation of milk protein synthesis is emerging Bovine mammary biopsies harvested during late-pregnancy through end of subsequent lactation were used to evaluate via quantitative PCR the expression of 44 genes involved in pathways of insulin, mTOR, AMPK, and Jak2-Stat5 signalling and also glucose and amino acid (AA) transporters We observed an increased expression during lactation of ELF5, AA and glucose transporters, insulin signaling pathway components, MAPK14, FRAP1, EIF4EBP2, GSK3A and TSC1 among mTOR signaling-related genes Among ribosomal components RPL22 was down-regulated The overall data support a central role of AA and glucose transporters and insulin signaling through mTOR for the regulation of protein synthesis in bovine mammary gland Furthermore, the existence of translational competition favoring the translation of milk protein transcripts was inferred from the combined dataset read more read less
View PDF
302 Citations
open accessOpen access Journal Article DOI: 10.4137/BBI.S28991
Advanced Applications of RNA Sequencing and Challenges
Yixing Han1, Shouguo Gao1, Kathrin Muegge1, Wei Zhang2, Bing Zhou2

Abstract:

Next-generation sequencing technologies have revolutionarily advanced sequence-based research with the advantages of high-throughput, high-sensitivity, and high-speed. RNA-seq is now being used widely for uncovering multiple facets of transcriptome to facilitate the biological applications. However, the large-scale data analy... Next-generation sequencing technologies have revolutionarily advanced sequence-based research with the advantages of high-throughput, high-sensitivity, and high-speed. RNA-seq is now being used widely for uncovering multiple facets of transcriptome to facilitate the biological applications. However, the large-scale data analyses associated with RNA-seq harbors challenges. In this study, we present a detailed overview of the applications of this technology and the challenges that need to be addressed, including data preprocessing, differential gene expression analysis, alternative splicing analysis, variants detection and allele-specific expression, pathway analysis, co-expression network analysis, and applications combining various experimental procedures beyond the achievements that have been made. Specifically, we discuss essential principles of computational methods that are required to meet the key challenges of the RNA-seq data analyses, development of various bioinformatics tools, challenges associated with the RNA-seq applications, and examples that represent the advances made so far in the characterization of the transcriptome. read more read less
View PDF
276 Citations
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Bioinformatics and Biology Insights format uses SageV citation style.

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Frequently asked questions

1. Can I write Bioinformatics and Biology Insights in LaTeX?

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

2. Do you follow the Bioinformatics and Biology Insights guidelines?

Yes, the template is compliant with the Bioinformatics and Biology Insights 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 Bioinformatics and Biology Insights?

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 Bioinformatics and Biology Insights citation style.

4. Can I use the Bioinformatics and Biology Insights 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 Bioinformatics and Biology Insights.

5. Can I use a manuscript in Bioinformatics and Biology Insights 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 Bioinformatics and Biology Insights that you can download at the end.

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

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

7. Where can I find the template for the Bioinformatics and Biology Insights?

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 Bioinformatics and Biology Insights'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 Bioinformatics and Biology Insights'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. Bioinformatics and Biology Insights an online tool or is there a desktop version?

SciSpace's Bioinformatics and Biology Insights 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 Bioinformatics and Biology Insights?

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 Bioinformatics and Biology Insights?”

11. What is the output that I would get after using Bioinformatics and Biology Insights?

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

12. Is Bioinformatics and Biology Insights'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 Bioinformatics and Biology Insights?

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 Bioinformatics and Biology Insights. 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 Bioinformatics and Biology Insights?

The 5 most common citation types in order of usage for Bioinformatics and Biology Insights 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 Bioinformatics and Biology Insights?

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 Bioinformatics and Biology Insights's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Bioinformatics and Biology Insights 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 Bioinformatics and Biology Insights Endnote style according to Elsevier guidelines.

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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.

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