Editorial Policy

J. Exp. Molec. Biol. is a primary research journal, but also publishes in-silico studies and review articles in all areas of Biology. J. Exp. Molec. Biol. also publishes book reviews and invited commentaries solicited by the Editor-in-Chief.

Manuscripts are considered for publication in J. Exp. Molec. Biol. on the understanding that authors have complied with all ethical and privacy guidelines and/or legislation covering the work being reported. Manuscripts comprising a part or parts that have previously been published or are under consideration for publication elsewhere should not be submitted to J. Exp. Molec. Biol. All manuscripts submitted to J. Exp. Molec. Biol. are checked for plagiarism using iThenticate. Manuscripts with levels over 30% similarity are returned to the authors. 

Authors submitting to J. Exp. Molec. Biol. must agree to make available upon request, free of charge, any alignment data, strains, cell lines, or clones used in reported experiments, computer code essential to the analysis, and any other material or information necessary for the assessment and verification of findings or interpretations presented in the publication. Substantial computer software essential to the publication that has not previously been published must be provided as Supplementary Material or made available through a publicly accessible repository.

Newly reported nucleic acid and amino acid sequences, microarray data, structural coordinates, and all other essential information must be submitted to appropriate public databases such as:
GenBank http://www.ncbi.nlm.nih.gov/;
the EMBL Nucleotide Sequence Database http://www.ebi.ac.uk/embl/index.html;
the Protein Data Bank http://www.rcsb.org/pdb/;
Swiss-Prot http://www.ebi.ac.uk/swissprot/;
GEO http://www.ncbi.nlm.nih.gov/geo;
Array-Express http://www.ebi.ac.uk/arrayexpress.

Methods must be described in sufficient detail to permit independent replication. Standard procedures can be referenced, provided that significant variations are adequately described. Large-scale data sets necessary for peer review must be made available to reviewers at the time of submission.