@@ -88,7 +88,7 @@ <h2 class="section-title fade-up">Research</h2>
8888 < div class ="research-card-detail ">
8989 < p class ="research-card-desc ">
9090 < em > CDKN2A</ em > is a remarkable dual-coding locus encoding two structurally unrelated
91- tumour suppressors — p16< sup > INK4A</ sup > and p14< sup > ARF</ sup > — through overlapping
91+ tumour suppressors ( p16< sup > INK4A</ sup > and p14< sup > ARF</ sup > ) through overlapping
9292 reading frames driven by distinct promoters. p16 inhibits CDK4/6 and is a well-established
9393 marker of cellular senescence; ARF stabilises p53 by restraining MDM2. Despite their
9494 centrality to cell cycle control, tumour suppression, and oncogene-induced senescence,
@@ -238,7 +238,7 @@ <h2 class="section-title fade-up">Research</h2>
238238 < p class ="research-card-desc ">
239239 Identifying behavioural markers of disease risk associated with circadian disruption
240240 is challenging due to reproducibility concerns in under-powered human studies.
241- Submarines provide an extreme model of circadian disruption — depriving crew of
241+ Submarines provide an extreme model of circadian disruption, depriving crew of
242242 natural light–dark cycles and limiting physical activity. We developed an effect
243243 size-based method to screen potential actigraphy-derived markers of the submarine
244244 environment, collecting data across pre-mission, mission, and post-mission periods.
@@ -328,7 +328,7 @@ <h2 class="section-title fade-up">Research</h2>
328328 integrating circadian models from the Arcascope < em > circadian</ em > package, it
329329 provides flexible preprocessing tools, support for multiple actigraphy file
330330 formats, standalone functions for commonly used actigraphy metrics, and
331- implementations of several mathematical models of circadian rhythms — enabling
331+ implementations of several mathematical models of circadian rhythms, enabling
332332 users to move efficiently from raw wearable data to physiologically interpretable
333333 circadian outputs.
334334 </ p >
@@ -363,16 +363,16 @@ <h2 class="section-title fade-up">Research</h2>
363363 </ div >
364364 < div class ="research-card-detail ">
365365 < p class ="research-card-desc ">
366- Single-cell RNA sequencing (scRNA-seq) has revolutionised our understanding of
367- cellular heterogeneity, yet the complexity of its analysis poses challenges for
368- researchers without computational expertise. scStudio is a user-friendly,
369- comprehensive, and modular web-based application designed to democratise
370- scRNA-seq data analysis. It supports automated dataset retrieval from the Gene
371- Expression Omnibus, user-uploaded datasets in a variety of formats, multi-dataset
372- integration, and flexible parameter optimisation. The application covers all
373- essential steps — quality control, normalisation, dimensionality reduction,
374- clustering, differential expression , and functional enrichment analysis — and
375- includes analysis history tracking, session export, and data sharing features.
366+ Single-cell RNA sequencing (scRNA-seq) has transformed our understanding of
367+ cellular heterogeneity, yet its analysis remains challenging for researchers
368+ without computational expertise. scStudio is a user-friendly, modular web-based
369+ application designed to democratise scRNA-seq data analysis. It supports automated
370+ dataset retrieval from the Gene Expression Omnibus, user-uploaded datasets in a
371+ variety of formats, multi-dataset integration, and flexible parameter optimisation.
372+ The application covers all essential steps: quality control, normalisation,
373+ dimensionality reduction, clustering, differential expression, and functional
374+ enrichment analysis , and includes analysis history tracking, session export, and
375+ data sharing features.
376376 scStudio is being applied to characterise immunosenescence at single-cell
377377 resolution.
378378 </ p >
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