1)- Zi Hao Liu, João M C Teixeira, Oufan Zhang, Thomas E Tsangaris, Jie Li, Claudiu C Gradinaru, Teresa Head-Gordon, Julie D Forman-Kay. Local Disordered Region Sampling (LDRS) for ensemble modeling of proteins with experimentally undetermined or low confidence prediction segments.Bioinformatics (Oxford, England). 2023, 39 (12):
2)- Marcos Díaz-Gay, Raviteja Vangara, Mark Barnes, Xi Wang, S M Ashiqul Islam, Ian Vermes, Stephen Duke, Nithish Bharadhwaj Narasimman, Ting Yang, Zichen Jiang, Sarah Moody, Sergey Senkin, Paul Brennan, Michael R Stratton, Ludmil B Alexandrov. Assigning mutational signatures to individual samples and individual somatic mutations with SigProfilerAssignment.Bioinformatics (Oxford, England). 2023, 39 (12):
6)- Herui Liao, Jiayu Shang, Yanni Sun. GDmicro: classifying host disease status with GCN and deep adaptation network based on the human gut microbiome data.Bioinformatics (Oxford, England). 2023, 39 (12):
7)- Cuifang Xu, Jiating Huang, Yongqiang Gao, Weixing Zhao, Yiqi Shen, Feihong Luo, Gang Yu, Feng Zhu, Yan Ni. OBMeta: a comprehensive web server to analyze and validate gut microbial features and biomarkers for obesity-associated metabolic diseases.Bioinformatics (Oxford, England). 2023, 39 (12):
9)- Dani Korpela, Emmi Jokinen, Alexandru Dumitrescu, Jani Huuhtanen, Satu Mustjoki, Harri Lähdesmäki. EPIC-TRACE: predicting TCR binding to unseen epitopes using attention and contextualized embeddings.Bioinformatics (Oxford, England). 2023, 39 (12):
10)- Hikmet Emre Kaya, Kevin J Naidoo. CytoCopasi: a chemical systems biology target and drug discovery visual data analytics platform.Bioinformatics (Oxford, England). 2023, 39 (12):
11)- Herve Emissah, Bengt Ljungquist, Giorgio A Ascoli. Bibliometric analysis of neuroscience publications quantifies the impact of data sharing.Bioinformatics (Oxford, England). 2023, 39 (12):
14)- Susan L Hoops, Dan Knights. LMdist: Local Manifold distance accurately measures beta diversity in ecological gradients.Bioinformatics (Oxford, England). 2023, 39 (12):
15)- Rui Ren, Kuangnan Fang, Qingzhao Zhang, Shuangge Ma. FunctanSNP: an R package for functional analysis of dense SNP data (with interactions).Bioinformatics (Oxford, England). 2023, 39 (12):
20)- Jose Espejo Valle-Inclán, Isidro Cortés-Ciriano. ReConPlot: an R package for the visualization and interpretation of genomic rearrangements.Bioinformatics (Oxford, England). 2023, 39 (12):
22)- Brendan S McConnell, Matthew W Parker. Protein intrinsically disordered regions have a non-random, modular architecture.Bioinformatics (Oxford, England). 2023, 39 (12):
23)- Duy T Pham, Kenneth E Westerman, Cong Pan, Ling Chen, Shylaja Srinivasan, Elvira Isganaitis, Mary Ellen Vajravelu, Fida Bacha, Steve Chernausek, Rose Gubitosi-Klug, Jasmin Divers, Catherine Pihoker, Santica M Marcovina, Alisa K Manning, Han Chen. Re-analysis and meta-analysis of summary statistics from gene-environment interaction studies.Bioinformatics (Oxford, England). 2023, 39 (12):
25)- . Correction to: Prediction of gene co-expression from chromatin contacts with graph attention network.Bioinformatics (Oxford, England). 2023, 39 (12):
26)- . Correction to: Snapper: high-sensitive detection of methylation motifs based on Oxford Nanopore reads.Bioinformatics (Oxford, England). 2023, 39 (12):
29)- . Correction to: DeepFold: enhancing protein structure prediction through optimized loss functions, improved template features, and re-optimized energy function.Bioinformatics (Oxford, England). 2023, 39 (12):
31)- Wunna Kyaw, Ryan C Chai, Weng Hua Khoo, Leonard D Goldstein, Peter I Croucher, John M Murray, Tri Giang Phan. ENTRAIN: integrating trajectory inference and gene regulatory networks with spatial data to co-localize the receptor-ligand interactions that specify cell fate.Bioinformatics (Oxford, England). 2023, 39 (12):
32)- Steve Ma, Longxuan Fan, Sai Anish Konanki, Eva Liu, John H Gennari, Lucian P Smith, Joseph L Hellerstein, Herbert M Sauro. VSCode-Antimony: a source editor for building, analyzing, and translating antimony models.Bioinformatics (Oxford, England). 2023, 39 (12):
33)- Nima Nouri, Andre H Kurlovs, Giorgio Gaglia, Emanuele de Rinaldis, Virginia Savova. Scaling up single-cell RNA-seq data analysis with CellBridge workflow.Bioinformatics (Oxford, England). 2023, 39 (12):
34)- Anisha Haldar, Vishal H Oza, Nathaniel S DeVoss, Amanda D Clark, Brittany N Lasseigne. CoSIA: an R Bioconductor package for CrOss Species Investigation and Analysis.Bioinformatics (Oxford, England). 2023, 39 (12):
35)- Min Zeng, Yifan Wu, Yiming Li, Rui Yin, Chengqian Lu, Junwen Duan, Min Li. LncLocFormer: a Transformer-based deep learning model for multi-label lncRNA subcellular localization prediction by using localization-specific attention mechanism.Bioinformatics (Oxford, England). 2023, 39 (12):
36)- Eric Lee, Dongkyu Lee, Wayne Fan, Andrew Lytle, Yuxiang Fu, , David W Scott, Christian Steidl, Samuel Aparicio, Andrew Roth. ESQmodel: biologically informed evaluation of 2-D cell segmentation quality in multiplexed tissue images.Bioinformatics (Oxford, England). 2023, :
37)- Ting Liu, K Anton Feenstra, Jaap Heringa, Zhisheng Huang. Mining literature and pathway data to explore the relations of ketamine with neurotransmitters and gut microbiota using a knowledge-graph.Bioinformatics (Oxford, England). 2023, :
38)- Xiran Liu, Naama M Kopelman, Noah A Rosenberg. Clumppling: cluster matching and permutation program with integer linear programming.Bioinformatics (Oxford, England). 2023, :
43)- Uxía Veleiro, Jesús de la Fuente, Guillermo Serrano, Marija Pizurica, Mikel Casals, Antonio Pineda-Lucena, Silve Vicent, Idoia Ochoa, Olivier Gevaert, Mikel Hernaez. GeNNius: An ultrafast drug-target interaction inference method based on graph neural networks.Bioinformatics (Oxford, England). 2023, :
44)- Seungjun Ahn, Somnath Datta. SOHPIE: Statistical Approach via Pseudo-Value Information and Estimation for Differential Network Analysis of Microbiome Data.Bioinformatics (Oxford, England). 2023, :
47)- Sebastian Staab, Anny Cardénas, Raquel S Peixoto, Falk Schreiber, Christian R Voolstra. Coracle-A Machine Learning Framework to Identify Bacteria Associated with Continuous Variables.Bioinformatics (Oxford, England). 2023, :
50)- Colin Brown, Anuradha Agarwal, Antoni Luque. pyCapsid: Identifying dominant dynamics and quasi-rigid mechanical units in protein shells.Bioinformatics (Oxford, England). 2023, :