Bioinformatics

SlytheRINs: using graph parameters and residue interaction networks to analyze protein dynamics and structural ensembles
Laura Shimohara Bradaschia, Matheus Caetano Epifane-de-Assunçao, Marilia Viana Albuquerque de Almeida, Ândrea Kelly Ribeiro dos Santos, Umberto Laino Fulco, Ivanovitch Silva, Gustavo A de Souza, Diego Marques Coelho, Gilderlanio Santana Araujo Sr., Joao Paulo M S Lima

bioRxiv 2026.02.26.708270; doi: https://doi.org/10.64898/2026.02.26.708270 New Results

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Nanopore sequencing reaches amplicon sequence variant (ASV) resolution
Marie Riisgaard-Jensen, Stefania Andrea Rosso Villanelo, Kasper Skytte Andersen, Rasmus Kirkegaard, Susan Hove Hansen, Chenjing Jiang, Albert Vejlin Stefansen, Jakob Holm Dalsgaard Thomsen, Per H Nielsen, Morten Kam Dahl Dueholm

bioRxiv 2026.02.26.708165; doi: https://doi.org/10.64898/2026.02.26.708165 New Results

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Identifying Convergent Therapeutic Targets and Pathways for Post-Traumatic Stress Disorder, Schizophrenia And Bipolar Disorder via In Silico Approaches
Mahfuj Khan, Fahida Rahman, Nabilah Anzoom Nishu, Md. Arju Hossain

bioRxiv 2026.02.26.708243; doi: https://doi.org/10.64898/2026.02.26.708243 New Results

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Eubiota: Modular Agentic AI for Autonomous Discovery in the Gut Microbiome
Pan Lu, Yifan Gao, William G. Peng, Haoxiang Zhang, Kunlun Zhu, Elektra K. Robinson, Qixin Xu, Masakazu Kotaka, Harrison G. Zhang, Bingxuan Li, Anthony L. Shiver, Yejin Choi, Kerwyn Casey Huang, Justin Sonnenburg, James Zou

bioRxiv 2026.02.27.708412; doi: https://doi.org/10.64898/2026.02.27.708412 New Results

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LRSomatic: a highly scalable and robust pipeline for somatic variant calling in long-read sequencing data
Robert Alexander Forsyth, Luuk Harbers, Amber Verhasselt, Ana-Lucía Rocha Iraizós, Sidi Yang, Joris Vande Velde, Christopher Davies, Nischalan Pillay, Laurens Lambrechts, Jonas Demeulemeester

bioRxiv 2026.02.26.707772; doi: https://doi.org/10.64898/2026.02.26.707772 New Results

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Benchmarking computational tools for locus-specific analysis of transposable elements in single-cell RNA-seq datasets
Veronica Finazzi, Catalina A. Vallejos, Antonio Scialdone

bioRxiv 2026.02.26.708244; doi: https://doi.org/10.64898/2026.02.26.708244 New Results

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Arborist: Prioritizing Bulk DNA Inferred Tumor Phylogenies via Low-pass Single-cell DNA Sequencing Data
Leah L Weber, Chi Yin Ching, Christopher Ly, Yidan Pan, Yixiao Cheng, Chunxu Gao, Peter Van Loo

bioRxiv 2026.02.26.707773; doi: https://doi.org/10.64898/2026.02.26.707773 New Results

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Random Matrix Theory-guided sparse PCA for single-cell RNA-seq data
Victor Chardes

bioRxiv 2026.02.26.708218; doi: https://doi.org/10.64898/2026.02.26.708218 New Results

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scProfiterole: Clustering of Single-Cell Proteomic Data Using Graph Contrastive Learning via Spectral Filters
Mustafa Coskun, Filipa Blasco Lopes, Pinar Kubilay Tolunay, Mark R. Chance, Mehmet Koyuturk

bioRxiv 2026.02.26.708196; doi: https://doi.org/10.64898/2026.02.26.708196 New Results

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SpatialCompassV (SCOMV): De novo cell and gene spatial pattern classification and spatially differential gene identification
Ryosuke Nomura, Shunsuke A. Sakai, Shun-Ichiro Kageyama, Katsuya Tsuchihara, Riu Yamashita

bioRxiv 2026.02.26.707418; doi: https://doi.org/10.64898/2026.02.26.707418 New Results

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Bioinformatics

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