Example of Molecular Systems Biology format
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Example of Molecular Systems Biology format Example of Molecular Systems Biology format Example of Molecular Systems Biology format Example of Molecular Systems Biology format Example of Molecular Systems Biology format Example of Molecular Systems Biology format Example of Molecular Systems Biology format Example of Molecular Systems Biology format Example of Molecular Systems Biology format Example of Molecular Systems Biology format
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Example of Molecular Systems Biology format Example of Molecular Systems Biology format Example of Molecular Systems Biology format Example of Molecular Systems Biology format Example of Molecular Systems Biology format Example of Molecular Systems Biology format Example of Molecular Systems Biology format Example of Molecular Systems Biology format Example of Molecular Systems Biology format Example of Molecular Systems Biology 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
recommended Recommended

Molecular Systems Biology — Template for authors

Publisher: EMBO Press
Categories Rank Trend in last 3 yrs
Applied Mathematics #5 of 548 -
Agricultural and Biological Sciences (all) #3 of 209 -
Biochemistry, Genetics and Molecular Biology (all) #11 of 204 -
Immunology and Microbiology (all) #4 of 45 down down by 1 rank
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 231 Published Papers | 3611 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 17/06/2020
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Related Journals

open access Open Access
recommended Recommended

Elsevier

Quality:  
High
CiteRatio: 4.9
SJR: 0.657
SNIP: 0.944
open access Open Access

Wiley

Quality:  
High
CiteRatio: 3.0
SJR: 2.298
SNIP: 1.501
open access Open Access
recommended Recommended

PLOS

Quality:  
High
CiteRatio: 11.0
SJR: 4.127
SNIP: 2.005

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.

8.991

8% from 2018

Impact factor for Molecular Systems Biology from 2016 - 2019
Year Value
2019 8.991
2018 9.8
2017 8.5
2016 9.75
graph view Graph view
table view Table view

15.6

1% from 2019

CiteRatio for Molecular Systems Biology from 2016 - 2020
Year Value
2020 15.6
2019 15.5
2018 14.5
2017 15.7
2016 19.3
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 8% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 1% 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.

8.523

16% from 2019

SJR for Molecular Systems Biology from 2016 - 2020
Year Value
2020 8.523
2019 7.338
2018 7.04
2017 8.504
2016 8.774
graph view Graph view
table view Table view

2.323

15% from 2019

SNIP for Molecular Systems Biology from 2016 - 2020
Year Value
2020 2.323
2019 2.02
2018 1.919
2017 1.945
2016 2.173
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has increased by 16% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 15% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
Molecular Systems Biology

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EMBO Press

Molecular Systems Biology

Systems biology is an integrative discipline that seeks to explain the properties and behaviour of biological systems in terms of their components and their interactions.... Read More

i
Last updated on
17 Jun 2020
i
Impact Factor
Maximum - 10.5
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
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Bibliography Name
APA
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Citation Type
Numbered
[25]
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Bibliography Example
Beenakker, C.W.J. (2006) Specular andreev reflection in graphene.Phys. Rev. Lett., 97 (6), 067 007. URL 10.1103/PhysRevLett.97.067007.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1038/MSB.2011.75
Fast, scalable generation of high‐quality protein multiple sequence alignments using Clustal Omega

Abstract:

Multiple sequence alignments are fundamental to many sequence analysis methods. Most alignments are computed using the progressive alignment heuristic. These methods are starting to become a bottleneck in some analysis pipelines when faced with data sets of the size of many thousands of sequences. Some methods allow computati... Multiple sequence alignments are fundamental to many sequence analysis methods. Most alignments are computed using the progressive alignment heuristic. These methods are starting to become a bottleneck in some analysis pipelines when faced with data sets of the size of many thousands of sequences. Some methods allow computation of larger data sets while sacrificing quality, and others produce high-quality alignments, but scale badly with the number of sequences. In this paper, we describe a new program called Clustal Omega, which can align virtually any number of protein sequences quickly and that delivers accurate alignments. The accuracy of the package on smaller test cases is similar to that of the high-quality aligners. On larger data sets, Clustal Omega outperforms other packages in terms of execution time and quality. Clustal Omega also has powerful features for adding sequences to and exploiting information in existing alignments, making use of the vast amount of precomputed information in public databases like Pfam. read more read less

Topics:

Multiple sequence alignment (52%)52% related to the paper
View PDF
12,489 Citations
open accessOpen access Journal Article DOI: 10.1038/MSB4100050
Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection.

Abstract:

We have systematically made a set of precisely defined, single-gene deletions of all nonessential genes in Escherichia coli K-12. Open-reading frame coding regions were replaced with a kanamycin cassette flanked by FLP recognition target sites by using a one-step method for inactivation of chromosomal genes and primers design... We have systematically made a set of precisely defined, single-gene deletions of all nonessential genes in Escherichia coli K-12. Open-reading frame coding regions were replaced with a kanamycin cassette flanked by FLP recognition target sites by using a one-step method for inactivation of chromosomal genes and primers designed to create in-frame deletions upon excision of the resistance cassette. Of 4288 genes targeted, mutants were obtained for 3985. To alleviate problems encountered in high-throughput studies, two independent mutants were saved for every deleted gene. These mutants-the 'Keio collection'-provide a new resource not only for systematic analyses of unknown gene functions and gene regulatory networks but also for genome-wide testing of mutational effects in a common strain background, E. coli K-12 BW25113. We were unable to disrupt 303 genes, including 37 of unknown function, which are candidates for essential genes. Distribution is being handled via GenoBase (http://ecoli.aist-nara.ac.jp/). read more read less

Topics:

Essential gene (58%)58% related to the paper, Gene (52%)52% related to the paper
View PDF
7,428 Citations
open accessOpen access Journal Article DOI: 10.1038/MSB4100180
Network-based classification of breast cancer metastasis.
Han-Yu Chuang1, Eunjung Lee1, Eunjung Lee2, Yu-Tsueng Liu1, Doheon Lee2, Trey Ideker1

Abstract:

Mapping the pathways that give rise to metastasis is one of the key challenges of breast cancer research. Recently, several large-scale studies have shed light on this problem through analysis of gene expression profiles to identify markers correlated with metastasis. Here, we apply a protein-network-based approach that ident... Mapping the pathways that give rise to metastasis is one of the key challenges of breast cancer research. Recently, several large-scale studies have shed light on this problem through analysis of gene expression profiles to identify markers correlated with metastasis. Here, we apply a protein-network-based approach that identifies markers not as individual genes but as subnetworks extracted from protein interaction databases. The resulting subnetworks provide novel hypotheses for pathways involved in tumor progression. Although genes with known breast cancer mutations are typically not detected through analysis of differential expression, they play a central role in the protein network by interconnecting many differentially expressed genes. We find that the subnetwork markers are more reproducible than individual marker genes selected without network information, and that they achieve higher accuracy in the classification of metastatic versus non-metastatic tumors. read more read less

Topics:

Metastasis (53%)53% related to the paper, Breast cancer (52%)52% related to the paper
View PDF
1,495 Citations
open accessOpen access Journal Article DOI: 10.1038/MSB4100155
A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information.

Abstract:

An updated genome-scale reconstruction of the metabolic network in Escherichia coli K-12 MG1655 is presented. This updated metabolic reconstruction includes: (1) an alignment with the latest genome annotation and the metabolic content of EcoCyc leading to the inclusion of the activities of 1260 ORFs, (2) characterization and ... An updated genome-scale reconstruction of the metabolic network in Escherichia coli K-12 MG1655 is presented. This updated metabolic reconstruction includes: (1) an alignment with the latest genome annotation and the metabolic content of EcoCyc leading to the inclusion of the activities of 1260 ORFs, (2) characterization and quantification of the biomass components and maintenance requirements associated with growth of E. coli and (3) thermodynamic information for the included chemical reactions. The conversion of this metabolic network reconstruction into an in silico model is detailed. A new step in the metabolic reconstruction process, termed thermodynamic consistency analysis, is introduced, in which reactions were checked for consistency with thermodynamic reversibility estimates. Applications demonstrating the capabilities of the genome-scale metabolic model to predict high-throughput experimental growth and gene deletion phenotypic screens are presented. The increased scope and computational capability using this new reconstruction is expected to broaden the spectrum of both basic biology and applied systems biology studies of E. coli metabolism. read more read less

Topics:

Metabolic network (63%)63% related to the paper, EcoCyc (61%)61% related to the paper, Metabolic network modelling (60%)60% related to the paper, Fluxomics (57%)57% related to the paper, Flux balance analysis (55%)55% related to the paper
View PDF
1,445 Citations
open accessOpen access Journal Article DOI: 10.1038/MSB.2008.61
Selected reaction monitoring for quantitative proteomics: a tutorial
Vinzenz Lange1, Paola Picotti1, Bruno Domon1, Ruedi Aebersold

Abstract:

Systems biology relies on data sets in which the same group of proteins is consistently identified and precisely quantified across multiple samples, a requirement that is only partially achieved by current proteomics approaches. Selected reaction monitoring (SRM)—also called multiple reaction monitoring—is emerging as a techn... Systems biology relies on data sets in which the same group of proteins is consistently identified and precisely quantified across multiple samples, a requirement that is only partially achieved by current proteomics approaches. Selected reaction monitoring (SRM)—also called multiple reaction monitoring—is emerging as a technology that ideally complements the discovery capabilities of shotgun strategies by its unique potential for reliable quantification of analytes of low abundance in complex mixtures. In an SRM experiment, a predefined precursor ion and one of its fragments are selected by the two mass filters of a triple quadrupole instrument and monitored over time for precise quantification. A series of transitions (precursor/fragment ion pairs) in combination with the retention time of the targeted peptide can constitute a definitive assay. Typically, a large number of peptides are quantified during a single LC-MS experiment. This tutorial explains the application of SRM for quantitative proteomics, including the selection of proteotypic peptides and the optimization and validation of transitions. Furthermore, normalization and various factors affecting sensitivity and accuracy are discussed. read more read less

Topics:

Quantitative proteomics (56%)56% related to the paper, Selected reaction monitoring (54%)54% related to the paper
View PDF
1,389 Citations
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Time taken to format a paper and Compliance with guidelines

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Molecular Systems Biology format uses APA citation style.

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Frequently asked questions

1. Can I write Molecular Systems Biology in LaTeX?

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

2. Do you follow the Molecular Systems Biology guidelines?

Yes, the template is compliant with the Molecular Systems Biology 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 Molecular Systems Biology?

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 Molecular Systems Biology citation style.

4. Can I use the Molecular Systems Biology 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 Molecular Systems Biology.

5. Can I use a manuscript in Molecular Systems Biology 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 Molecular Systems Biology that you can download at the end.

6. How long does it usually take you to format my papers in Molecular Systems Biology?

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

7. Where can I find the template for the Molecular Systems Biology?

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 Molecular Systems Biology'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 Molecular Systems Biology'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. Molecular Systems Biology an online tool or is there a desktop version?

SciSpace's Molecular Systems Biology 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 Molecular Systems Biology?

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 Molecular Systems Biology?”

11. What is the output that I would get after using Molecular Systems Biology?

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

12. Is Molecular Systems Biology'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 Molecular Systems Biology?

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 Molecular Systems Biology. 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 Molecular Systems Biology?

The 5 most common citation types in order of usage for Molecular Systems Biology 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 Molecular Systems Biology?

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

16. Can I download Molecular Systems Biology 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 Molecular Systems Biology 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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