KidneyGPS: a user-friendly web application to help prioritize kidney function genes and variants based on evidence from genome-wide association studies
Genome-wide association studies (GWAS) have identified hundreds of genetic loci associated with kidney function. By combining these findings with post-GWAS information (e.g., statistical fine-mapping to identi... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - September 21, 2023 Category: Bioinformatics Authors: Kira J. Stanzick, Klaus J. Stark, Mathias Gorski, Johannes Sch ödel, René Krüger, Florian Kronenberg, Richard Warth, Iris M. Heid and Thomas W. Winkler Tags: Database Source Type: research
TIPred: a novel stacked ensemble approach for the accelerated discovery of tyrosinase inhibitory peptides
Tyrosinase is an enzyme involved in melanin production in the skin. Several hyperpigmentation disorders involve the overproduction of melanin and instability of tyrosinase activity resulting in darker, discolo... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - September 21, 2023 Category: Bioinformatics Authors: Phasit Charoenkwan, Sasikarn Kongsompong, Nalini Schaduangrat, Pramote Chumnanpuen and Watshara Shoombuatong Tags: Research Source Type: research
Reply: Correspondence on NanoVar ’s performance outlined by Jiang T. et al. in ‘Long-read sequencing settings for efficient structural variation detection based on comprehensive evaluation’
We published a paper in BMC Bioinformatics comprehensively evaluating the performance of structural variation (SV) calling with long-read SV detection methods based on simulated error-prone long-read data unde... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - September 20, 2023 Category: Bioinformatics Authors: Tao Jiang, Shiqi Liu and Hongzhe Guo Tags: Matters Arising Source Type: research
Correspondence on NanoVar ’s performance outlined by Jiang T. et al. in “Long-read sequencing settings for efficient structural variation detection based on comprehensive evaluation”
A recent paper by Jiang et al. in BMC Bioinformatics presented guidelines on long-read sequencing settings for structural variation (SV) calling, and benchmarked the performance of various SV calling tools, inclu... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - September 20, 2023 Category: Bioinformatics Authors: Cheng Yong Tham and Touati Benoukraf Tags: Correspondence Source Type: research
Prediction of plant secondary metabolic pathways using deep transfer learning
Plant secondary metabolites are highly valued for their applications in pharmaceuticals, nutrition, flavors, and aesthetics. It is of great importance to elucidate plant secondary metabolic pathways due to the... (Source: BMC Bioinformatics)
Source: BMC Bioinformatics - September 19, 2023 Category: Bioinformatics Authors: Han Bao, Jinhui Zhao, Xinjie Zhao, Chunxia Zhao, Xin Lu and Guowang Xu Tags: Research Source Type: research
