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Abstract

Statistical parameters When statistical analyses are reported, confirm that the following items are present in the relevant location (e.g. figure legend, table legend, main text, or Methods section). n/a Confirmed ] The exact sample size (r?) for each experimental group/condition, given as a discrete number and unit of measurement ] An indication of whether measurements were taken from distinct samples or whether the same sample was measured repeatedly □ The statistical test(s) used AND whether they are one- or two-sided Only common tests should be described solely by name; describe more complex techniques in the Methods section. ] A description of all covariates tested A description of any assumptions or corrections, such as tests of normality and adjustment for multiple comparisons □ A full description of the statistics including central tendency (e.g. means) or other basic estimates (e.g. regression coefficient) AND variation (e.g. standard deviation) or associated estimates of uncertainty (e.g. confidence intervals) □ □ □ □ □ For null hypothesis testing, the test statistic (e.g. F, t, r) with confidence intervals, effect sizes, degrees of freedom and P value noted Give P values as exact values whenever suitable. For Bayesian analysis, information on the choice of priors and Markov chain Monte Carlo settings For hierarchical and complex designs, identification of the appropriate level for tests and full reporting of outcomes Estimates of effect sizes (e.g. Cohen's d, Pearson's r), indicating how they were calculated Clearly defined error bars State explicitly what error bars represent (e.g. SD, SE, Cl) Our web collection on statistics for biologists may be useful. Software and code Policy information about availability of computer code Data collection n/a Data analysis Maq (Version: 0.7.1), R (version 3.4.1) For manuscripts utilizing custom algorithms or software that are central to the research but not yet described in published literature/ software must be made available to editors/reviewers upon request. If you are not sure, read the appropriate sections before making your selection. ¾ Life sciences Q Behavioural & social sciences Q Ecological, evolutionary & environmental sciences Life sciences study design Reporting for specific materials, systems and methods Acknowledgements This work was supported by the UK Biotechnology and Biological Sciences Research Council (BB/L002124/1, BB/ L011751/1), including work carried out within the ERACAPS Research Program (BB/L027844/1).

Details

Business indexing term
Title
Organization of the genome sequence of the polyploid crop species Brassica juncea/Reply
Publication title
Nature Genetics; New York
Volume
50
Issue
11
Pages
1496-2
Publication year
2018
Publication date
Nov 2018
Section
correspondence
Publisher
Nature Publishing Group
Place of publication
New York
Country of publication
United States
Publication subject
ISSN
10614036
e-ISSN
15461718
Source type
Scholarly Journal
Language of publication
English
Document type
Letter To The Editor
ProQuest document ID
2131783570
Document URL
https://www.proquest.com/scholarly-journals/organization-genome-sequence-polyploid-crop/docview/2131783570/se-2?accountid=208611
Copyright
Copyright Nature Publishing Group Nov 2018
Last updated
2025-03-20
Database
ProQuest One Academic