Bioinformatics and Genomics

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.
Spirometric traits show quantile-dependent heritability, which may contribute to their gene-environment interactions with smoking and pollution
Andrew Gray –– This article addresses an important question about the heritability of pulmonary function, namely whether this is constant or varies by level of function. This could provide further insight into gene-environment interactions and potentially inform interventions aimed at reducing declines in pulmonary function.
Bioinformatics and Genomics
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Section discussions

Medial knee cartilage is unlikely to withstand a lifetime of running without positive adaptation: a theoretical biomechanical model of failure phenomena https://t.co/5FZQA3ApDS

Spatial distribution and feeding substrate of butterflyfishes (family Chaetodontidae) on an Okinawan coral reef https://t.co/l9TJt0I8FH @thePeerJ https://t.co/ArgUJWEkbb

Convolutional neural networks to automate the screening of malaria in low-resource countries https://t.co/cAftWCdwjJ @thePeerJ https://t.co/OpdJPzX0Fx

My article has been published today in @thePeerJ https://t.co/6HhUsVUpSd #Anthropology #Biodiversity #Ecology #PlantScience #NaturalResourceManagement

New paper may be of interest, "Identifying agricultural pesticides that may pose a risk for birds". Open access at https://t.co/6jGEVULBGk