🔬 New in Bioinformatics Advances: "m6AnetAnalyzer: An R toolkit for post-processing of m6A sites detected by m6Anet"  Read more at https://doi.org/10.1093/bioadv/vbag089  Authors include: @allegra-petti.bsky.social

🛠️ Now in Bioinformatics Advances: "BLIT: An R package for seamless integration of command-line bioinformatics tool universe"  Full text at https://doi.org/10.1093/bioadv/vbag088

🧫 Now published in Bioinformatics Advances: "MPore: Database-driven identification of active methyltransferases in prokaryotic genomes from Nanopore sequencing" Explore the full study: https://doi.org/10.1093/bioadv/vbag077

🧬 Just out in Bioinformatics Advances: "Machine learning improves SNP microarray performance in challenged samples"  Full article available: https://doi.org/10.1093/bioadv/vbag086

🔬 Explore the latest from Bioinformatics Advances: "Bioinformatic analysis of metastasis-associated metabolic landscape reveals an oncogenic role for the transsulfuration pathway"  Explore the full study: https://doi.org/10.1093/bioadv/vbag084

📊 Now published in Bioinformatics Advances: "scellop: A scalable redesign of cell population plots for single-cell data" Full article available:  https://doi.org/10.1093/bioadv/vbag083

🔬 Explore the latest from Bioinformatics Advances: "Benchmarking antigen-aware inverse folding methods for antibody design"  Read the full paper here: https://doi.org/10.1093/bioadv/vbag081

🧩 Just out in Bioinformatics Advances: "Deciphering cis-regulatory elements using REgulamentary"  Read the full paper here: https://doi.org/10.1093/bioadv/vbag079

🧪 Recently published in Bioinformatics Advances: "Peakprime: A peak-guided primer design pipeline for target enrichment in 3′-end RNA-seq"  Access the article: https://doi.org/10.1093/bioadv/vbag080 Authors include: @jvdesomp.bsky.social

⚙️ New in Bioinformatics Advances: "Rapid2: A parallel scalable framework for identity-by-descent segment detection via parallel pbwt"  Explore the study: https://doi.org/10.1093/bioadv/vbag078

🧬 Recently published in Bioinformatics Advances:"Siren: Suite for intelligent RNAi design and evaluation of nucleotide sequences"  Explore the study: https://doi.org/10.1093/bioadv/vbag075

🧪 Just published in Bioinformatics Advances: "sctrimclust: A fast approach to robust scRNA-seq analysis using trimmed cell clusters"  Find the paper here: https://doi.org/10.1093/bioadv/vbag082

🧬 New in Bioinformatics Advances: "Leveraging single-cell foundation models for accurate survival outcome prediction"  Read the paper: https://doi.org/10.1093/bioadv/vbag076

🧬 New in Bioinformatics Advances: "Panalyze: Automated virus pangenome variation graph construction, analysis and annotation"  Read the paper:  https://doi.org/10.1093/bioadv/vbag071 Authors include: @downingtim.bsky.social

🧬 New in Bioinformatics Advances: "Memod-s: A standardised workflow to explore and analyse prokaryotic methylation patterns for Nanopore sequencing data"  Explore the study: https://doi.org/10.1093/bioadv/vbag072  Authors include: @alessiome.bsky.social, @jaimemurtaza.bsky.social

🧬 New in Bioinformatics Advances: "Mirinter-Trans: A transformer-based framework for microRNA interaction prediction"  Read the article: https://doi.org/10.1093/bioadv/vbag073

🧫 New in Bioinformatics Advances: "OmniBio: An easy-to-use web app for kinetic growth parameter calculation from microplate reader data"  Read the paper: https://doi.org/10.1093/bioadv/vbag074

🧩 Now published in Bioinformatics Advances: "Vector semantics of multidomain protein architectures"  Read the full paper here: https://doi.org/10.1093/bioadv/vbag037

🧫 Explore the latest from Bioinformatics Advances: "Love-thy-neighbor: Neural networks for tracking and lineage tracing in budding yeast"  Full article available: https://doi.org/10.1093/bioadv/vbag067 Authors include: @sophiemartinlab.bsky.social

🧬 Just out in Bioinformatics Advances: "Classification of driver and passenger mutations in different cancer types using deep neural networks"  Read the full paper here: https://doi.org/10.1093/bioadv/vbag068

🧪 Now published in Bioinformatics Advances: "TCRLens: Structure-aware equivariant graph learning for TCR-pMHC-I recognition and immunogenic epitope discovery"  Read the full paper here: https://doi.org/10.1093/bioadv/vbag066

🧬 Explore the latest from Bioinformatics Advances: "THe Biom: A platform for visualization and exploration of cancer transcriptomic biomarkers identified by robust feature selection"  Full article available: https://doi.org/10.1093/bioadv/vbag065 Authors include: @drarno.bsky.social

🧪 Explore the latest from Bioinformatics Advances: "AxioSAFE: An accessible, semi-automatic filtering tool for the curation of genotyping datasets".  Full article available: https://doi.org/10.1093/bioadv/vbag062

🦋 Now published in Bioinformatics Advances: "BarcodeBERT: Transformers for biodiversity analyses"  Full article available: https://doi.org/10.1093/bioadv/vbag054 Authors include: @jbhaurum.bsky.social

🧫 Just out in Bioinformatics Advances: "AssiST: Convolutional neural network for analysis of antibiotic susceptibility testing"  Read the full paper here:  https://doi.org/10.1093/bioadv/vbag063 Authors include: @carmenli.bsky.social, @amitchell.bsky.social

🧬 Now published in Bioinformatics Advances: "Scaling the profile of life by function with SPIN"  Read the full paper here: https://doi.org/10.1093/bioadv/vbag064 Authors include: @alecarbone.bsky.social

🧪 Now published in Bioinformatics Advances: "Covariate balanced allocation of samples to batches to mitigate the impacts of technical variability"  Read the full paper here: https://doi.org/10.1093/bioadv/vbag048

🧬 Explore the latest from Bioinformatics Advances: "Structome-TM: Complementing dataset assembly for structural phylogenetics by addressing size-based biases"   Full article available: https://doi.org/10.1093/bioadv/vbag035

💉 Now published in Bioinformatics Advances: "LinearCDSfold: A tool for co-optimizing secondary structure stability and codon usage in coding sequence design"  Read the full paper here: https://doi.org/10.1093/bioadv/vbag060

🧫 Just out in Bioinformatics Advances: "Omnicorr: An R-package for visualizing putative host-microbiome interactions using multi-omics data"  Read the full paper here: https://doi.org/10.1093/bioadv/vbag057 Authors include: @cmkobel.bsky.social, @sabinallarosa.bsky.social, @trhvidsten.bsky.social

📚 Now published in Bioinformatics Advances: "Hermes: An open-source mining tool for open-access literature"  Read the full paper here: 

🌳 Just out in Bioinformatics Advances: "TAGINE: Fast taxonomy-based feature engineering for microbiome analysis"  Read the full paper here:  https://doi.org/10.1093/bioadv/vbag056

🧬 Explore the latest from Bioinformatics Advances: "MotifPeeker: Benchmarking epigenomic profiling methods using motifs"  Read the full paper here: https://doi.org/10.1093/bioadv/vbag023

🗂️ Explore the latest from Bioinformatics Advances: "parsomics: A data-driven framework for metagenomics data integration powered by a local relational database"  Read the full paper here: https://doi.org/10.1093/bioadv/vbag049

🧬 Explore the latest from Bioinformatics Advances: "Multi-output learning for systematic missing value imputation in DNA methylation arrays"  Full article available: https://doi.org/10.1093/bioadv/vbag052

🧠 Explore the latest from Bioinformatics Advances: "Stratified signaling network remodeling of kinase-transcription factors’ interactions in Parkinson’s disease"  Full article available: https://doi.org/10.1093/bioadv/vbag059

🧠 Explore the latest from Bioinformatics Advances: "Advancing understanding of Long COVID pathophysiology through quantum walk-based network analysis"  Full article available: https://doi.org/10.1093/bioadv/vbag050  Authors include: @namshik.bsky.social

📈 Now published in Bioinformatics Advances: "Protein abundance inference via expectation-maximization in fluorosequencing"  Read the full paper here: https://doi.org/10.1093/bioadv/vbag053

🧬 Just out in Bioinformatics Advances: "isoespy: an integrated long-read transcriptome workflow for isoform resolution and visualization"  Read the full paper here: https://doi.org/10.1093/bioadv/vbag044

🧪 Now published in Bioinformatics Advances: "A kernel density estimation-based approach for quantifying O-GlcNAcylation dysregulation in cancer from gene expression data"  Explore the full study: https://doi.org/10.1093/bioadv/vbag045

🦠 Just out in Bioinformatics Advances: "rMAP 2.0: A modular, reproducible and scalable WDL-Cromwell-Docker workflow for genomic analysis of ESKAPEE pathogens"  Read the full paper here: https://doi.org/10.1093/bioadv/vbag046

🧬 Now published in Bioinformatics Advances: "MIRit: An integrative R framework for the identification of impaired miRNA–mRNA regulatory networks in complex diseases"  Full article available: https://doi.org/10.1093/bioadv/vbag042

🧬 Explore the latest from Bioinformatics Advances: "AmalgaMo: flexible DNA motif merging"  Read the full paper here: https://doi.org/10.1093/bioadv/vbag043

From Editor-in-Chief @alexbateman1.bsky.social : “Amos Bairoch (1957–2025): Pioneer of bioinformatics and founder of Swiss-Prot"   Read the full article at https://doi.org/10.1093/bioadv/vbag009

🧬 Just out in Bioinformatics Advances: "BCGLMs: Bayesian modeling for disease prediction using compositional microbiome features"  Read the full paper here: https://doi.org/10.1093/bioadv/vbag041

🌱 Now published in Bioinformatics Advances: "Challenges and opportunities: Computational biology and the future of agriculture"  Explore the full study: https://doi.org/10.1093/bioadv/vbag003 Authors include: @noahfahlgren.bsky.social

📊 Explore the latest from Bioinformatics Advances: "Fast phenotype simulation for genotype representation graphs"  Read the full paper here: https://doi.org/10.1093/bioadv/vbag040 Authors include: @aprilwei.bsky.social

🧬 Just out in Bioinformatics Advances: "GeneSNAKE: A Python package for simulation of gene regulatory networks and perturbation-induced expression data" Full article available: https://doi.org/10.1093/bioadv/vbag039

📊 Explore the latest from Bioinformatics Advances: "A network-guided penalized regression with application to proteomics data"  Full article available: https://doi.org/10.1093/bioadv/vbag038

🧬 Explore the latest from Bioinformatics Advances: "DeepCE: a deep learning framework for correlation-enhanced gene regulatory network inference in single-cell RNA sequencing data".  Full article available: https://doi.org/10.1093/bioadv/vbag033 Authors include: @thaddeuswu.bsky.social