This article clarifies the critical distinction between reproducibility (obtaining consistent results using the same data and code) and replicability (obtaining consistent results across studies with new data) in scientific research.
This article provides a systematic assessment of reproducibility in robotic synthesis platforms, a critical challenge for researchers and drug development professionals.
This article provides researchers, scientists, and drug development professionals with a comprehensive guide to navigating the complexities of interoperability in modern laboratory automation systems.
This article explores the transformative impact of autonomous laboratories, or self-driving labs, which integrate robotic platforms with artificial intelligence (AI) to execute multi-step chemical synthesis.
This article explores the transformative potential of closed-loop autonomous laboratories, or self-driving labs (SDLs), for researchers and professionals in materials science and drug development.
This article provides a definitive comparison between full-length and partial 16S rRNA gene sequencing for researchers and drug development professionals.
This article provides a comprehensive analysis of how the selection of 16S rRNA hypervariable regions significantly impacts sequencing results, influencing taxonomic resolution, diversity metrics, and downstream statistical analyses.
This article provides a detailed guide for researchers and drug development professionals on conducting robust 16S rRNA gene sequencing of fecal samples.
This article provides a comprehensive analysis for researchers and drug development professionals on the critical task of predicting off-target effects, a major challenge in drug discovery and CRISPR-based genome editing.
This article provides a comprehensive comparison between the T7 Endonuclease I (T7E1) assay and Next-Generation Sequencing (NGS) for detecting insertions and deletions (indels) in CRISPR-Cas9 genome editing.