Friday, December 8, 2023

Top  5 Ways to Lean Bioinformatics, Computational Biology, Computational Structural Biology, In silico Drug Discovery, Next Generation Sequencing Data Analysis, AI & Machine Learning for Bioinformatics, Data Science using R & Bioconductor, Deep Learning and  Programming for Bioinformatics.

Meet Multiple Protein Profiler: A New Tool for Analyzing Proteomic Datasets

Meet Multiple Protein Profiler: A New Tool for Analyzing Proteomic Datasets

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Dalhousie University, Canada researchers have developed a new web-based tool called Multiple Protein Profiler (MPP) that can efficiently calculate 12 key physicochemical properties of...
French Startup Selling $1,000 DNA Storage Cards Capable of Storing Messages in Genetic Code

French Startup Selling $1,000 DNA Cards Capable of Storing Messages in Genetic Code

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Biomemory, a French digital storage startup, recently unveiled encapsulated DNA storage devices the size of credit cards, holding personalized messages as brief proofs of...
Universal Cell Embeddings - A Revolutionary Foundation Model for Cell Biology

Unlocking the Secrets of Life: Universal Cell Embeddings – A Revolutionary Foundation Model for...

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Universal Cell Embedding (UCE) is a foundation model proposed by a group of scientists from Stanford University. Using a corpus of cell atlas data...
Revolutionizing Molecular Dynamics Analysis with VIAMD: A Unified Approach to Visualization, Property Calculation, and Synergistic Analysis

Revolutionizing Molecular Dynamics Analysis with VIAMD: A Unified Approach to Visualization, Property Calculation, and...

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Many different tools are needed for the standard molecular dynamics (MD) analysis workflow, which frequently leads to a lack of coordination and interaction between...
From Genes to Therapies: How Bioinformatics is Revolutionizing Translational Medicine

From Genes to Therapies: How Bioinformatics is Revolutionizing Translational Medicine

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We live in an era of big data. Advancements in high-throughput sequencing and other omics technologies have led to exponential growth in biological data...