Results 31 to 40 of about 10,065,126 (260)

Construction and evaluation of a whole genome microarray of Chlamydomonas reinhardtii [PDF]

open access: yes, 2011
Toepel J, Albaum S, Arvidsson S, et al. Construction and evaluation of a whole genome microarray of Chlamydomonas reinhardtii. BMC Genomics. 2011;12(1): 579.ABSTRACT: BACKGROUND: Chlamydomonas reinhardtii is widely accepted as a model organism regarding ...
La Russa, Marco   +27 more
core   +2 more sources

A parameter-free deep embedded clustering method for single-cell RNA-seq data

open access: yes, 2022
Clustering analysis is widely used in single-cell ribonucleic acid (RNA)-sequencing (scRNA-seq) data to discover cell heterogeneity and cell states. While many clustering methods have been developed for scRNA-seq analysis, most of these methods require ...
Zhong, F   +5 more
core   +1 more source

Enabling Single‐Cell Drug Response Annotations from Bulk RNA‐Seq Using SCAD

open access: yesAdvanced Science, 2023
The single‐cell RNA sequencing (scRNA‐seq) quantifies the gene expression of individual cells, while the bulk RNA sequencing (bulk RNA‐seq) characterizes the mixed transcriptome of cells.
Zetian Zheng   +7 more
doaj   +1 more source

Holo-Seq: single-cell sequencing of holo-transcriptome

open access: yesGenome Biology, 2018
Current single-cell RNA-seq approaches are hindered by preamplification bias, loss of strand of origin information, and the inability to observe small-RNA and mRNA dual transcriptomes.
Zhengyun Xiao   +9 more
doaj   +1 more source

Rainbow-Seq: Combining Cell Lineage Tracing with Single-Cell RNA Sequencing in Preimplantation Embryos

open access: yesiScience, 2018
Summary: We developed the Rainbow-seq technology to trace cell division history and reveal single-cell transcriptomes. With distinct fluorescent protein genes as lineage markers, Rainbow-seq enables each single-cell RNA sequencing (RNA-seq) experiment to
Fernando H. Biase   +6 more
doaj   +1 more source

Deep transfer learning of cancer drug responses by integrating bulk and single-cell RNA-seq data

open access: yesNature Communications, 2022
Single-cell RNA-seq data provide the opportunity to predict drug response in cancer while considering intratumour heterogeneity. Here, the authors develop a deep transfer learning framework - scDEAL - to predict single-cell drug responses in cancer by ...
Junyi Chen   +7 more
doaj   +1 more source

Population and single-cell genomics reveal the Aire dependency, relief from Polycomb silencing, and distribution of self-antigen expression in thymic epithelia. [PDF]

open access: yes, 2014
Promiscuous gene expression (PGE) by thymic epithelial cells (TEC) is essential for generating a diverse T cell antigen receptor repertoire tolerant to self-antigens, and thus for avoiding autoimmunity. Nevertheless, the extent and nature of this unusual
Nusspaumer, G   +18 more
core   +1 more source

Novel endoribonucleases as central players in various pathways of eukaryotic RNA metabolism [PDF]

open access: yes, 2010
For a long time it has been assumed that the decay of RNA in eukaryotes is mainly carried out by exoribonucleases, which is in contrast to bacteria, where endoribonucleases are well documented to initiate RNA degradation.
Tomecki, Rafał, Dziembowski, Andrzej
core   +3 more sources

Single_cell_GRN: gene regulatory network identification based on supervised learning method and Single-cell RNA-seq data

open access: yesBioData Mining, 2022
Single-cell RNA-seq overcomes the shortcomings of conventional transcriptome sequencing technology and could provide a powerful tool for distinguishing the transcriptome characteristics of various cell types in biological tissues, and comprehensively ...
Bin Yang   +3 more
doaj   +1 more source

iamzhangxiaoyu/scRNA-seq: Single cell rna seq

open access: yes, 2021
Single cell rna ...
iamzhangxiaoyu
core   +1 more source

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