Skip to main content

COVID-19 and impact on peer review

As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times.  Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.

Multiple approaches for SARS-CoV-2 sequencing

Yanyan Zhang, Weijun Chen, Yimin Li, Junhua Li and colleagues present a comparative analysis of sequencing approaches for SARS-CoV-2.

Epigenetic mitotic-like clocks for cancer

Andrew Teschendorff presents a newly developed epigenetic mitotic clock model, epiTOC2, for cancer risk prediction.

Fecal microbiota transplantation

Nicolas Benech and Harry Sokol discuss recent treatment advances of fecal microbiota transplantation.

Review on polygenic risk scores

Cathryn Lewis and Evangelos Vassos discuss recent advances in the field of polygenic risk scores.

Reviews, Research Highlights and Commentaries

Read authoritative Reviews, Opinions and other content commissioned by the Genome Medicine Editors from leading researchers:

Reviews

Research Highlights

Commentaries (including Editorials, Comments, Opinions, Q&As and Meeting reports)

Articles

Focus: Approaches to Data Analysis

Read the latest papers on the approaches to data analysis across BMC flagship journals.

The challenges of colposcopy for cervical cancer screening in LMICs and solutions by artificial intelligence
Peng Xue et al.

Published in BMC Medicine 03 June 2020

ImageJ SurfCut: a user-friendly pipeline for high-throughput extraction of cell contours from 3D image stacks
Özer Erguvan et al.

Published in BMC Biology 09 May 2019

An unsupervised learning approach to identify novel signatures of health and disease from multimodal data​​​​​​​
Ilan Shomorony et al.

Published in Genome Medicine 10 January 2020

DISC: a highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning​​​​​​​
Yao He et al.

Published in Genome Biology 10 July 2020

Aims and scope

Genome Medicine publishes important advances of broad interest in the application of genetics, genomics and multi-omics to understand, diagnose and treat disease. The Journal aims to bridge the basic science and clinical research communities in areas that include, but are not limited to: cancer genomics, immuno-oncology, immunogenomics, infectious disease, microbiome, neurogenomics, systems medicine, clinical genomics, gene therapies, precision medicine, and clinical trials. The Journal content includes original research, method, software, database and guideline articles as well as reviews, opinions and commentaries. 

Article collections

Special issue
Clinical interpretation of genome variation
Guest editors: Heidi Rehm and Douglas Fowler

Collection
A decade of Genome Medicine

Special issue
Tumor immune microenvironment and immunotherapy
Guest editors: Zlatko Trajanoski and Noel de Miranda

Special issue
From genome integrity to cancer
Guest editor: Serena Nik-Zainal

See all article collections

Latest Tweets

  • Editorial Board
  • Editorial Team
  • Sign up for article alerts and news from this journal
  • Contact us
  • Announcements

    Portable peer review

    To reduce time spent on serial submissions and iterative reviewing, Genome Medicine offers to consider manuscripts on the basis of reviews received at other journals. We also support transfers of reviews obtained at Genome Medicine to other journals, including those outside of BMC and Springer Nature. Learn more from our peer review policy page.

    COVID-19 submissions

    In response to the current SARS-CoV-2 pandemic Genome Medicine editors will treat relevant submissions with high priority.