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A Perspective on the open-source and open-development software project Bioconductor provides an overview for prospective users and developers dealing with high-throughput data in genomics and molecular biology.
Pareto task inference (ParTI) computes a polytype that encloses a data set and determines the enrichment of features around the vertices (archetypes) of the polytype, which allows the identification of the task the archetype represents.
Ribose-seq allows ribose nucleotide (rNMP) incorporation to be detected genome-wide in DNA at single-base resolution and is demonstrated on budding yeast.
A simple and general chemical structure change to a panel of cell-permeable small-molecule fluorophores increases their brightness and photostability, which will enable improved single-molecule studies and super-resolution imaging.
The combination of molecularly tagging bacteria prior to infection and high-throughput sequencing of infected sites allows the quantitative assessment of the founding population size and analysis of bacterial migration patterns.
The computational workflow of DIA-Umpire allows untargeted peptide identificationdirectly from DIA (data-independent acquisition) proteomics data without dependence on a spectral library for data extraction