benchmark study

Birth weight discordance, gene expression, and DNA methylation: A review of epigenetic twin studies

This paper reviews epigenetic twin studies linking birth weight discordance to gene expression and DNA methylation, highlighting growth-related genes and epigenetic mechanisms.

TrackRefiner: A tool for refinement of bacillus cell tracking data

TrackRefiner refines bacillus cell tracking data, achieving high accuracy in detecting and correcting tracking errors in time-lapse microscopy datasets.

Seventy-five years of insight: the impact of the Ukulinga very long-term grassland experiments

The paper assesses the impact of two long-term grassland experiments over 75 years, highlighting their contributions to understanding grassland dynamics and the importance of long-term research.

Protein Dimension DB: A Unified Protein Repository for Representation Learning and Functional Analysis

Protein Dimension DB provides precomputed protein embeddings and annotations to enable efficient use of large protein language models in functional analysis.

Comparative Evaluation of Assumption Lean Community Detection Methods for Human Connectome Networks

This study evaluates community detection methods for human connectome networks, finding that likelihood-based criteria outperform other strategies in selecting the number of communities.

A comparison shopper's guide to forest datasets

The paper evaluates 27 forest cover datasets to identify differences in their estimates of forest extent and change, highlighting the importance of careful dataset selection.

Emergence of Dual-Risk Klebsiella pneumoniae: Global Hotspots of Convergence Between Resistance and Hypervirulence

The paper analyzes K. pneumoniae genomes to show convergence between antimicrobial resistance and hypervirulence, identifying dual-risk clones and geographic hotspots.

Trisomy 21 Drives ADARB1 Overexpression and Premature RNA Recoding in the Developing Fetal Brain

This study identifies ADARB1 overexpression in T21 fetal brain due to trisomy 21, leading to increased A-to-I RNA editing and altered GRIA gene recoding.

MitoEM 2.0: A Benchmark for Challenging 3D MitochondriaInstance Segmentation from EM Images

MitoEM 2.0 provides a benchmark for 3D mitochondria segmentation in EM images with diverse datasets and standardized labels for model evaluation and comparison.

RNA-SeqEZPZ: A Point-and-Click Pipeline for Comprehensive Transcriptomics Analysis with Interactive Visualizations

RNA-SeqEZPZ is a user-friendly pipeline for RNA-Seq analysis with interactive visualizations, offering both point-and-click and command-line interfaces for reproducible and customizable transcriptomics workflows.

metaboprep v2: Broadening the application of the metaboprep beyond metabolomics

The paper updates the metaboprep R package to support proteomics data, enhancing its utility for multi-omics preprocessing in epidemiological research.

Image Analysis for Non-Neoplastic Kidney Disease: Utilizing Morphological Segmentation to Improve Quantification of Interstitial Fibrosis

This paper improves quantification of interstitial fibrosis in kidney biopsies by using morphological segmentation, showing better correlation with expert grading and reduced bias.

The long-standing relationship between replication timing, gene expression, and chromatin accessibility is maintained in early mouse embryogenesis

The paper re-analyzes replication timing data from early mouse embryos and shows that the relationship between replication timing, gene expression, and chromatin accessibility is maintained, contradicting previous conflicting conclusions.

Leveraging genomic biobanks to enhance genetic testing outcomes for kidney disease

This study evaluates genetic testing outcomes for kidney disease, finding 34% of patients had pathogenic variants, 52% had variants of uncertain significance (VUS), and multidisciplinary review with biobank data helped reclassify some VUS.

A Unified Framework for Systematic Curation and Evaluation of Aging Biomarkers

The paper develops Biolearn, an open-source framework for curating and evaluating aging biomarkers across datasets, finding that harmonization and standardization improve their performance and generalizability.

ConsensusMetaDA: an R Package for consensus-based differential abundance analysis of metagenomic data.

ConsensusMetaDA integrates multiple differential abundance tools to improve sensitivity and specificity in metagenomic analysis by identifying consensus across methods.

Benchmarking Real-World Applicability of Molecular Generative Models from De novo Design to Lead Optimization with MolGenBench

This paper introduces MolGenBench, a benchmark for evaluating molecular generative models in drug discovery, highlighting gaps between current models and real-world pharmaceutical workflows.

Strategies for robust, accurate, and generalizable benchmarking of drug discovery platforms

The paper benchmarks a drug discovery platform, finding that performance correlates with chemical similarity and dataset source.

Systematic evaluation of de novo mutation calling tools using whole genome sequencing data

This study evaluates five de novo mutation calling tools on real and simulated whole genome sequencing trio data, finding low concordance and tool-specific performance.

Benchmarking of Human ReadRemoval Strategies for Viral andMicrobial Metagenomics

The paper benchmarks human read removal methods in metagenomics, finding that high-sensitivity Bowtie2 with T2T-CHM13 reference improves removal while preserving microbial data.

Circling in on plasmids: benchmarking plasmid detection and reconstruction tools for short-read data from diverse species

This study benchmarks plasmid detection and reconstruction tools on short-read assemblies from diverse bacterial species, finding performance varies with database coverage and assembly quality.

Comprehensive OrgDb Packages for Fungal Comparative Genomics: MycoCosm-Derived Standardized GO and InterPro Annotations Across Five Major Phyla

The paper introduces five standardized OrgDb packages for fungal comparative genomics, providing comprehensive GO and InterPro annotations across five fungal phyla to enable rigorous functional analysis.

SpaTM: Topic Models for Inferring Spatially Informed Transcriptional Programs

SpaTM is a topic modeling framework for spatial transcriptomics data that supports both annotation-guided and annotation-free analysis, showing competitiveness in spatial label prediction and clustering.

A Benchmarking Study of Random Projections and Principal Components for Dimensionality Reduction Strategies in Single Cell Analysis

This study benchmarks PCA and Random Projection methods for dimensionality reduction in scRNA-seq, showing RP's superior computational speed and comparable clustering quality.

From Lab to Industry: Awareness of the translational potential of Extracellular Vesicles by the ISEV Translation, Regulation and Advocacy Committee (ISEV-TRA).

The paper surveys awareness of extracellular vesicles' translational potential across academia and industry, highlighting growing interest and spin-out efforts in EV-based products.

Empirical Evaluation of Single-Cell Foundation Models for Predicting Cancer Outcomes

This study evaluates twelve single-cell foundation models for cancer-related tasks and finds they offer limited clinical outcome prediction advantages over simpler models.

Frequent functional orthology of long noncoding RNAs and genomic loci associated with complex traits and disorders

The paper links GWAS-associated haplotype blocks to lncRNAs and their mammalian orthologs, showing strong functional associations with complex traits.

Which pLM to choose?

This study benchmarks fourteen protein-language models (pLMs) to determine which best captures biological properties, finding that mid-scale models often outperform larger ones for general tasks.

Development of self-phenotyping tools to empower patients and improve diagnostics

The paper evaluates two self-phenotyping tools, showing that GenomeConnect provides more accurate phenotype profiles while Phenotypr offers greater precision and user preference for its autocomplete format.

Assessment of Nucleic Acid Structure Prediction in CASP16

Across 42 CASP16 nucleic acid targets, accuracy stayed tied to template availability; human experts (Vfold first) led servers and AlphaFold 3, though servers now improve on templates on average.