Bioinformatics and Genomics

Editors' Picks

Transcriptome analysis reveals a reprogramming energy metabolism-related signature to improve prognosis in colon cancer
Michael Hallett –– Energy metabolism is a key prognostic marker in colon cancer; good biomarker panels are therefore important for polling the state of this process in tumors.
Forecasting Bitcoin closing price series using linear regression and neural networks models
Anwitaman Datta –– Cryptocurrency price prediction is of interest for making investment decisions; and is an active area of research. The presented work furthers the current understanding to certain extent. It is thus a topic and contribution of reasonable but limited interest.
Analysis of deubiquitinase OTUD5 as a biomarker and therapeutic target for cervical cancer by bioinformatic analysis
Walter de Azevedo Jr. –– In this research paper, the authors analyzed the expression of (ovarian tumor protease) deubiquitinase 5 (OTUD5) in cervical cancer and its relationship with clinical characteristics. This study provided new insights for further research on its regulatory mechanism in tumors.
A game-theoretic model of Monkeypox to assess vaccination strategies
Hiroshi Nishiura –– Excellent application study
Identification of SPRR3 as a novel diagnostic/prognostic biomarker for oral squamous cell carcinoma via RNA sequencing and bioinformatic analyses
Xuehui Huang –– The work may provide important biomarkers in clinical test.
GISA: using Gauss Integrals to identify rare conformations in protein structures
Elena Papaleo –– The identification of rare conformations in protein structures is a challenging and important task. These conformations are often critical for protein function. This work provide an interesting different way to tackle this problem.
DiscoSnp-RAD: de novo detection of small variants for RAD-Seq population genomics
Tomas Hrbek –– A rapid, efficient and robust tool for analyzing RADseq and other related data. Has the potential to be widely used by the scientific community.
Host transcriptome-guided drug repurposing for COVID-19 treatment: a meta-analysis based approach
David Tollervey –– In the race to develop effective strategies to counter COVID-19, a promising approach is to re-target drugs, for which regulatory approval has already been obtained in a different context. Here the authors re-analyze transcriptomic data to predict candidate targets and potentially therapeutic compounds.
Contributions of Latin American researchers in the understanding of the novel coronavirus outbreak: a literature review
Robert Winkler –– The review demonstrates the general performance of scientific research in Latin America in response to a critical threat. Thus, it might influence political decision-makers.
Adaptive divergence for rapid adversarial optimization
Charles Elkan –– Generative adversarial networks (GANs) are an exciting development in machine learning, but it is hard to make them work in practice, and they can require a lot of training data. This research is a significant step towards making GANs more usable.
Bioinformatics and Genomics
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Section discussions

New in @thePeerJ Universality vs experience: a cross-cultural pilot study on the consonance effect in music at different altitudes https://t.co/SRUJ7Gi4y2 Spoiler - No effect of altitude :)

Rodents’ responses to manipulated plant litter and seed densities: implications for restoration https://t.co/viisNiiU84 @thePeerJ https://t.co/X5Ael3Hkg6

Predicting the effect of variants on splicing using Convolutional Neural Networks https://t.co/ielnRY6con @thePeerJ https://t.co/TCMoK4mYSd