Social Media Ideas for Bioinformatics

Latest updates for Bioinformatics

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genengnews.com /1 week ago

Illumina Combines Multiomics Informatics Applications in New BioInsight Platform

Illumina is bringing its software, AI, and data offerings together in the new BioInsight platform, designed to help scientists analyze genomic and multiomic datasets. It will be sh...

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medium.com /1 week ago

AI Meets Biology: How Machine Learning Is Transforming Bioinformatics and Microbiology in 2026

From genomic foundation models to intelligent microbiome analysis, artificial intelligence is reshaping how scientists understand life.Continue reading on Medium »

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genengnews.com /1 week ago

Multiomics in 2026 and Beyond

Multiomics analysis combines data from two or more omics layers—such as genomics, transcriptomics, proteomics, and epigenomics. However, published criticisms of multiomics approach...

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nanowerk.com /1 month ago

A Google-like search engine for single-cell RNA

Scientists have built a search engine that can scan data from millions of single cells from thousands of experiments worldwide in seconds. The tool makes it possible to answer prev...

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journals.plos.org /1 month ago

PanDelos-plus: A parallel algorithm for computing sequence homology in pangenomic analysis

by Simone Colli, Emiliano Maresi, Vincenzo Bonnici The identification of homologous gene families across multiple genomes is a central task in bacterial pangenomics traditionally...

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bioengineer.org /1 month ago

New Computational Framework Tracks Cell Migration Across Space and Time

Scientists have unveiled a new computational framework that brings together two of the most powerful technologies in modern biology—single-cell RNA sequencing and spatial transcrip...

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journals.plos.org /2 weeks ago

DyME: An MD-based engine exploiting HTP mutagenesis for protein engineering and recognition mimicry

by Pedro M. Guillem-Gloria, Gloria Ruiz-Gómez, M. Teresa Pisabarro Protein recognition mimicry is of great interest in the field of molecular bioengineering and rational design, w...

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legaltechmonitor.com /3 weeks ago

Beyond the Wet Lab Bottleneck: The Race to Build Biology’s Generative Engine

Cambridge, MA – MIT Media Lab – EmTech Future. Nature has spent roughly 3.8 billion years conducting the most sprawling, creative research and development campaign in history. Evol...

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phys.org /1 month ago

Uniting sequence and structure to map the protein universe across billions of years of evolution

An international team of researchers, including those at the Earth-Life Science Institute (ELSI) at the Institute of Science Tokyo, has developed a protein language model that brin...

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rna-seqblog.com /1 month ago

An end-to-end computational framework for “Record-seq” transcriptional recording data

A new framework adapts RNA sequencing analysis for Record-seq, improving spacer extraction, transcription-unit quantification, normalization, differential expression, and modeling...

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bioengineer.org /2 weeks ago

AI Reads Protein Sequences to Find Domain Boundaries Without Any Structural Data

A new machine learning framework called Seq2DomML predicts residue-level protein domain boundaries in bacterial proteins directly from sequence, outperforming established annotatio...

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journals.plos.org /1 month ago

Balanced DNA interpolation improves learning of genetic distance-informed embeddings in plants

by Lara M. Kösters, Kevin Karbstein, Ladislav Hodač, Laura Albreht, Elvira Sahuquillo Balbuena, Daniel Botello, Olivier Hardy, Phebian Odufuwa, Eva Pardo Otero, Aireen Phang, Manue...

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rna-seqblog.com /1 week ago

Lexogen and Mithrl connect RNA-Seq library prep to AI-powered biological interpretation

Lexogen and Mithrl integrate RNA sequencing with AI-driven biological interpretation, enabling researchers to analyze gene expression data faster and connect results with existing...

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timesofindia.indiatimes.com /1 week ago

Why Google DeepMind is watermarking ‘Biology’

Google DeepMind has launched SynthID Bio to bolster biosecurity measures by encoding watermarks into AI-generated proteins. This innovative approach enables users to trace the orig...

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journals.plos.org /2 weeks ago

Omics data discovery agents: Agent-supported retrieval, reanalysis, and synthesis of published omics data

by Alexandre Hutton, Jesse G. Meyer The biomedical literature contains a vast collection of omics studies, yet most published data remain functionally inaccessible for computation...

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news.mit.edu /1 month ago

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

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scienceandculture.com /3 weeks ago

Information in Biology: A Mystery for Naturalism

Biology was giving us computer programming and symbolic codes which, by mapping functional structures to functional structures, exhibited a tacit semantics. Source

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rna-seqblog.com /1 month ago

New AI approaches to help understand complex biological data

RNA sequencing combined with new AI models helps researchers analyze cellular relationships and biological patterns across scales, improving interpretation of complex single-cell a...

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genengnews.com /2 weeks ago

Big Data Opportunities in Biomanufacturing

Industry-wide standardization and collaboration leverage big data in ways that help companies unleash optimizations enterprise-wide while simultaneously advancing industry knowledg...

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businesstoday.in /1 month ago

AI-driven drug discovery race: Anthropic quietly opens biology laboratory in major push

While many AI companies rely exclusively on public datasets and external academic partnerships to train computational models, running an in-house laboratory allows researchers to p...

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genengnews.com /1 month ago

From Images to Data

This eBook introduces the latest trends in quantitative spatial biology and how IMC is accelerating their adoption and success. The post From Images to Data appeared first on GEN -...

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rna-seqblog.com /1 day ago

PhD position in RNA structure computational analysis neural sublocalization of transcripts

The University of Copenhagen seeks a PhD researcher to develop machine learning models integrating RNA sequencing, RNA structure and protein interactions to predict neuronal RNA lo...

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bioengineer.org /1 month ago

Scientists characterize genetic variants across the human intrinsically disordered proteome

Variant effect prediction has entered a new phase, but one of biology’s largest blind spots remains stubbornly difficult to resolve. Computational tools have become increasingly ef...

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marktechpost.com /1 month ago

NVIDIA Details BioNeMo Inference Runtime (BioIR): 2.90x Higher Boltz-2 Folding Throughput and 58.5K Residues per GPU-Hou...

NVIDIA has detailed BioNeMo Inference Runtime (BioIR), a Python library that accelerates biomolecular structure-prediction models on NVIDIA GPUs while staying in plain PyTorch. In...

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