نتایج جستجو برای: transcriptome analysis

تعداد نتایج: 2842830  

Milad Ashrafizadeh, Sedighe Abdollahzadeh, Vahab Asemani,

Precise interpretation of the transcriptome sequences in the several species showed that the major part of genome has been transcribed; however, just a few amounts of the transcription sequences have open-reading frames which are conversed during the evolution. So, it is unlikely that many of the transcribed sequences code the proteins. Among the all human non-coding transcripts, at least 10000...

2017
Jason L Weirather Mariateresa de Cesare Yunhao Wang Paolo Piazza Vittorio Sebastiano Xiu-Jie Wang David Buck Kin Fai Au

Background: Given the demonstrated utility of Third Generation Sequencing [Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT)] long reads in many studies, a comprehensive analysis and comparison of their data quality and applications is in high demand. Methods: Based on the transcriptome sequencing data from human embryonic stem cells, we analyzed multiple data features of PacB...

2017
Jingyi Jessica Li

Given the demonstrated utility of Third Generation Sequencing Background: [Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT)] long reads in many studies, a comprehensive analysis and comparison of their data quality and applications is in high demand. Based on the Methods: transcriptome sequencing data from human embryonic stem cells, we analyzed multiple data features of PacB...

Journal: :Plant physiology 2003
David Honys David Twell

We present a genome-wide view of the male gametophytic transcriptome in Arabidopsis based on microarray analysis. In comparison with the transcriptome of the sporophyte throughout development, the pollen transcriptome showed reduced complexity and a unique composition. We identified 992 pollen-expressed mRNAs, nearly 40% of which were detected specifically in pollen. Analysis of the functional ...

2017
Jingyi Jessica Li

Given the demonstrated utility of Third Generation Sequencing Background: [Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT)] long reads in many studies, a comprehensive analysis and comparison of their data quality and applications is in high demand. Based on the Methods: transcriptome sequencing data from human embryonic stem cells, we analyzed multiple data features of PacB...

2017
Jin Huang Nana Jin Hao Qin Xiao Shi Yingyu Liu Wingching Cheung Chi Chiu Wang Ting Fung Chan Tin Chiu Li

AIM To study the transcriptome profiles in the blood of recurrent implantation failure (RIF), recurrent miscarriage (RM) and fertile women during the window of implantation, and further analysis the correlation of transcriptome profiles between blood and endometrium. METHODS This is an observational prospective study. In total 9 subjects were recruited, 3 RIF, 3 RM, and 3 controls. Paired sam...

2003
HANQING XIE RAVEH GILL-MORE Pinchas Rosen Hanqing Xie

1. Transcriptome Analysis Recent advances in sequencing, computational biology, and information science have brought great new opportunities in biological research. One of the opportunities is that researchers are able to apply a systematic approach towards understanding some of the objects or phenomena in molecular biology/genetics and modern medicine. Not long ago, such a systematic approach ...

Journal: :The Journal of physiology 2006
Stefano Gustincich Albin Sandelin Charles Plessy Shintaro Katayama Roberto Simone Dejan Lazarevic Yoshihide Hayashizaki Piero Carninci

A comprehensive understanding of protein and regulatory networks is strictly dependent on the complete description of the transcriptome of cells. After the determination of the genome sequence of several mammalian species, gene identification is based on in silico predictions followed by evidence of transcription. Conservative estimates suggest that there are about 20,000 protein-encoding genes...

2014
Marco Mignardi Albert Einstein

It is well known that cells in tissues display a large heterogeneity in gene expression due to differences in cell lineage origin and variation in the local environment at different sites in the tissue, a heterogeneity that is difficult to study by analyzing bulk RNA extracts from tissue. Recently, genome-wide transcriptome analysis technologies have enabled the analysis of this variation with ...

2011
Jacqueline Morris Jennifer M. Singh James H. Eberwine

Many gene expression analysis techniques rely on material isolated from heterogeneous populations of cells from tissue homogenates or cells in culture. In the case of the brain, regions such as the hippocampus contain a complex arrangement of different cell types, each with distinct mRNA profiles. The ability to harvest single cells allows for a more in depth investigation into the molecular di...

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