Results 71 to 80 of about 1,215,495 (340)
Comprehensive profiling of rhizome-associated alternative splicing and alternative polyadenylation in moso bamboo (Phyllostachys edulis). [PDF]
, 2017 Moso bamboo (Phyllostachys edulis) represents one of the fastest-spreading plants in the world, due in part to its well-developed rhizome system. However, the post-transcriptional mechanism for the development of the rhizome system in bamboo has not been
Cai, Dawei +8 more
core +1 more source
Meta-analysis of honey bee neurogenomic response links deformed wing virus type A to precocious behavioral maturation [PDF]
, 2020 Crop pollination by the western honey bee Apis mellifera is vital to agriculture but threatened by alarmingly high levels of colony mortality, especially in Europe and North America.
Ahmed, Amy Cash +7 more
core +1 more source
bioRxiv, 2020 The new coronavirus (2019-nCoV) outbreak from December 2019 in Wuhan, Hubei, China, has been declared a global public health emergency. Angiotensin I converting enzyme 2 (ACE2), is the host receptor by 2019-nCov to infect human cells.
Furong Qi +3 more
semanticscholar +1 more source
Comparative Analysis of Single-Cell RNA Sequencing Methods [PDF]
Molecular Cell, 2017 Single-cell RNA sequencing (scRNA-seq) offers new possibilities to address biological and medical questions. However, systematic comparisons of the performance of diverse scRNA-seq protocols are lacking. We generated data from 583 mouse embryonic stem cells to evaluate six prominent scRNA-seq methods: CEL-seq2, Drop-seq, MARS-seq, SCRB-seq, Smart-seq ...
Ziegenhain, Christoph +9 more
openaire +3 more sources
Single-Cell RNA-Sequencing: Assessment of Differential Expression Analysis Methods
Frontiers in Genetics, 2017 The sequencing of the transcriptomes of single-cells, or single-cell RNA-sequencing, has now become the dominant technology for the identification of novel cell types and for the study of stochastic gene expression.
Alessandra Dal Molin +2 more
doaj +1 more source
Inferring spatial and signaling relationships between cells from single cell transcriptomic data. [PDF]
, 2020 Single-cell RNA sequencing (scRNA-seq) provides details for individual cells; however, crucial spatial information is often lost. We present SpaOTsc, a method relying on structured optimal transport to recover spatial properties of scRNA-seq data by ...
Cang, Zixuan, Nie, Qing
core
Pooling across cells to normalize single-cell RNA sequencing data with many zero counts
Genome Biology, 2016 Normalization of single-cell RNA sequencing data is necessary to eliminate cell-specific biases prior to downstream analyses. However, this is not straightforward for noisy single-cell data where many counts are zero.
Aaron T. L. Lun, K. Bach, J. Marioni
semanticscholar +1 more source
Power Analysis of Single Cell RNA-Sequencing Experiments [PDF]
Nature Methods, 2016 AbstractHigh-throughput single cell RNA sequencing (scRNA-seq) has become an established and powerful method to investigate transcriptomic cell-to-cell variation, and has revealed new cell types, and new insights into developmental process and stochasticity in gene expression.
Svensson, Valentine +7 more
openaire +4 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács +8 more
wiley +1 more source
Ophthalmology Science, 2023 Purpose: Proliferative vitreoretinopathy (PVR) is the most common cause of failure of retinal reattachment surgery, and the molecular changes leading to this aberrant wound healing process are currently unknown.
Clayton P. Santiago, PhD, MS +8 more
doaj +1 more source