Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
The genetic network of BTB zinc finger transcription factors and Eip93F is crucial for Kenyon cell identity regulation and neuronal function acquisition in the construction of Drosophila mushroom ...
The Department of Bioengineering at the Indian Institute of Science has invited organisations to host MTech Bioengineering ...
Background Gut microbiota dysbiosis is linked to autism spectrum disorder (ASD) in children. However, the role of bacterial ...
EAE-induced neuroinflammation. Using immuohistochemistry, flow cytometry, and single-cell RNAseq of doublets to interrogate cell-cell interactions, the authors provide solid evidence that macrophages, ...
This article takes a deep dive into the history of proteomics from the conception of the term “proteome” up to modern-day advances in bioinformatics and single-cell protein analysis.
Figure 1: Probability of alignment for the sequences flanking the 5′ end of the first exon of natriuretic propeptide (NPPA). To explore the usefulness of human-rodent sequence comparison using this ...
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