生物信息学整合了计算方法和统计技术，用于分析和解读生物数据，特别是大规模基因组、转录组、蛋白质组和代谢组数据集。该领域涵盖序列比对、基因组组装、基因表达谱分析、蛋白质结构预测和分子相互作用网络，从而有助于深入了解分子功能、进化关系和疾病机制。算法开发、机器学习应用和高通量数据处理的进步使得全面的注释、变异解读和系统级建模成为可能。以下合集汇集了最新的科学出版物和专利创新成果，重点关注计算工具、数据库管理、分析流程和整合方法，这些对于推进生物学研究和精准医学至关重要。
转录组学、元基因组学、蛋白质组学数据分析、分子对接、生物数据库、结构生物信息学、基因组注释、变异调用、表观基因组学、系统生物学、比较基因组学、功能基因组学、RNA-Seq 分析、生物统计学、计算生物学、生物标志物发现、通路分析和代谢组学。.
Products and methods for full-length smchd1 expression using split inteins
Patent published on the 2026-05-21 in WO under Ref WO2026107323 by RESEARCH INST AT NATIONWIDE CHILDRENS HOSPITAL [US] (Harper Scott Q [us], Thangaraj Merlin Premalatha [us])
Abstract: Nucleic acids, vectors, compositions, systems, and methods for expressing a structural maintenance of chromosomes hinge domain containing 1 (SMCHD1) polypeptide to epigenetically silence double homeobox 4 (DUX4) for the treatment of a disease or disorder associated with DUX4 are provided. DUX4 regulates gene expression and plays a role in development, muscular dystrophy (including, but not limited to, facioscapulohumeral dystrophy (FSHD)), a cancer, or Bosma arhinia microphthalmia syndrome (BAMS[...]
Our summary: This content discusses products and methods for expressing the SMCHD1 polypeptide using split inteins. It highlights the role of DUX4 in diseases like muscular dystrophy and cancer. The approach aims to downregulate DUX4 expression for therapeutic purposes.
SMCHD1, split inteins, gene expression, DUX4
Patent
Gene expression elements and systems and use thereof
Patent published on the 2026-05-14 in AU under Ref AU2026202953 by GENENEER LTD (Shefer Kinneret)
Abstract: Abstract The present invention relates to an expression control element and expression system comprising same, particularly to an expression control element regulated by a polyamine or polyamine analogue, host cells and eukaryotic organisms comprising same and methods of use thereof. Abstract same and methods of use thereof. pr p r s a m e a n d m e t h o d s o f u s e t h e r e o f[...]
Our summary: The invention involves an expression control element regulated by polyamines. It includes an expression system and host cells utilizing this element. Methods for using these systems in eukaryotic organisms are also described.
gene expression, expression control element, polyamine regulation, eukaryotic systems
Patent
Photomics analysis of samples
Patent published on the 2026-05-14 in AU under Ref AU2024378765 by ALTOS LABS INC (Angeles Albores David, Arbelo-gonzalez Wilmer, Pedoia Valentina, Riehs Nina)
Abstract: The present invention sets for a technique for determining a transcriptomic profile of a sample comprising one or more cells. The disclosed techniques include obtaining one or more single cell images of the sample. The techniques also include predicting a transcriptomic profile for one or more cells of the sample using a machine learning model configured to take as input one or more single cell images and produce as output a predicted transcriptomic profile for the one or more cells in the singl[...]
Our summary: The invention describes a method for determining the transcriptomic profile of a sample using single cell images. It employs a machine learning model to predict transcriptomic profiles based on these images. The approach yields both measured and predicted expression levels for various transcripts.
Transcriptomics, Photomics, Machine Learning, Single Cell
Patent
Automated multi-omics assay development system for high-throughput proteomic and metabolomic quantification
Patent published on the 2026-05-07 in US under Ref US20260128132 by COMPLETE OMICS INT INC [US] (Wang Qing [us], Chaerkady Raghothama [us], Kashyap Anirudh [us], Fair Morgan [us], Zhao Liang [us])
Abstract: Disclosed are systems and methods for automated chromatographic peak detection and refinement in high-throughput LC-MS/MS datasets, applicable to both proteomics and metabolomics. The invention integrates signal smoothing, apex detection, boundary assignment, and machine learning-based quality scoring into a fully automated pipeline. The system supports multiple acquisition modes (e.g., DIA-PASEF, Orbitrap), chromatographic strategies (C18, C30, HILIC), and biological matrices. Detected peaks ar[...]
Our summary: The system automates multi-omics assay development for proteomic and metabolomic quantification. It integrates peak detection, refinement, and quality scoring using machine learning. The invention enhances reproducibility and reduces manual curation time in high-throughput datasets.
multi-omics, high-throughput, LC-MS/MS, machine learning
Patent
Plants having improved traits
Patent published on the 2026-05-06 in GB under Ref GB2701582 by WILD BIOSCIENCE LTD [GB] (Ross Hendron [gb], Rona Costello [gb], Steven Kelly [gb])
Abstract: A method for generating a plant having improved growth and/or yield. The method comprises increasing the size of one or more guard cells in a plant compared to a guard cell size in an independent wildtype control plant of the same species under the same environmental conditions, wherein the ratio of guard cell size to leaf epidermal cell size in the plant is increased as compared to the ratio in the control plant. The guard cell can have increased cell volume, increased nuclear cell content, inc[...]
Our summary: The method generates plants with improved growth and yield by increasing guard cell size. This involves modifying the expression of factors that promote endoreduplication in guard cells. A gene construct is also described, which includes a regulatory element for guard cell-specific expression.
Guard cells, Endoreduplication, Gene expression, Plant traits
Patent
Gas pipeline pathway analysis, control and communication
Patent published on the 2026-04-23 in US under Ref US20260110405 by FLORIDA POWER & LIGHT COMPANY [US] (Sudhakar Rahul [us], Kaufman Richard E [us], Gorman Lisa F [us], Macon Max R [us], Acosta Manuel P [us])
Abstract: [0000] Some embodiments provide systems and methods for gas pipeline pathway analysis, control and communication. In some embodiments, a physical pipeline scheduling and control system comprises a server or computer-based computing system configured to receive a user input corresponding to a request for a gaseous resource, automatically obtain data from a plurality of data sources, automatically simulate a plurality of potential pathways of the gas pipeline network, automatically output a pathwa[...]
Our summary: The system automates gas pipeline pathway analysis and control. It receives user requests and simulates potential pathways. The selected pathway is formatted and submitted electronically for execution.
pipeline analysis, control systems, gas pathways, data simulation
Patent
ReaxFF molecular dynamics investigation of co-combustion between Zhundong coal and lignin
Published on 2026-02-25 by @OXFORD
Abstract: AbstractCo-combustion of coal and biomass offers a promising solution to reduce fossil fuel dependency. This study employs reactive force-field molecular dynamics (ReaxFF MD) to investigate the microscopic effects of temperature and mixing ratio on Zhundong coal–lignin co-combustion. Elevated temperatures significantly enhance the conversion from large molecules to smaller gaseous products (CO2, H2O), suppressing tar formation. Higher coal ratios (3:1, 2:1) favor reduced tar yield and increase[...]
Our summary: This study uses ReaxFF molecular dynamics to analyze the co-combustion of Zhundong coal and lignin. Elevated temperatures and higher coal ratios improve gaseous product yields while reducing tar formation. Reaction pathways indicate distinct contributions from coal oxidation, lignin pyrolysis, and the behavior of nitrogen and sulfur during combustion.
ReaxFF, molecular dynamics, co-combustion, Zhundong coal
Publication
A Comparative Study of CNN, BiLSTM, and GRU Architectures
Published on 2026-02-03 by Elias Tabane, Ernest Mnkandla, Zenghui Wang @MDPI
Abstract: DNA sequence classification is a fundamental problem in bioinformatics, playing an indispensable role in gene annotation and disease prediction. Whereas most deep learning models, such as CNNs, BiLSTM networks, and GRUs, have been found individually optimal, each of these methods excels in modeling a specific aspect of sequence data: local motifs, long-range dependencies, and efficient temporal modeling of the sequences. Here, we present and evaluate an ensemble model that integrates CNN, BiLSTM[...]
Our summary: This study evaluates CNN, BiLSTM, and GRU architectures for DNA sequence classification. An ensemble model combining these methods achieved a classification accuracy of 90.6%, outperforming individual models. The research highlights the effectiveness of hybrid deep learning in genomic data analysis.
CNN, BiLSTM, GRU, ensemble
Publication
