Results 1 to 10 of about 397,925 (266)

Generation and Analysis of Transcriptomics Data

2010
Transcript profiling ("Transcriptomics") is a widely used technique that obtains information on the abundance of multiple mRNA transcripts within a biological sample simultaneously. Therefore, when a number of such samples are analysed, as in a scientific experiment, large and complex data sets are gene-rated.
Philip D, Glaves, Jonathan D, Tugwood
openaire   +2 more sources

Large-Scale Transcriptome Analysis

2017
Genomic variants identified to be linked with complex traits such as blood pressure are fewer in coding sequences compared to noncoding sequences. This being the case, there is an increasing need to query the expression of genes at a genome scale to then correlate the cause of alteration in expression to the function of variants regardless of where ...
David, Weaver, Kathirvel, Gopalakrishnan, Bina, Joe   +2 more
openaire   +2 more sources

Transcriptomic analysis of TGCT

Nature Reviews Urology, 2022
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Transcriptome Coexpression Analysis Using ATTED-II for Integrated Transcriptomic/Metabolomic Analysis

2013
Transcriptome coexpression analysis is an excellent tool for predicting the physiological functions of genes. It is based on the "guilt-by-association" principle. Generally, genes involved in certain metabolic processes are coordinately regulated. In other words, coexpressed genes tend to be involved in common or closely related biological processes ...
Keiko, Yonekura-Sakakibara, Kazuki, Saito   +1 more
openaire   +2 more sources

Transcriptome Assembly and Alternative Splicing Analysis

2014
Alternative Splicing (AS) is the molecular phenomenon whereby multiple transcripts are produced from the same gene locus. As a consequence, it is responsible for the expansion of eukaryotic transcriptomes. Aberrant AS is involved in the onset and progression of several human diseases.
BONIZZONI, PAOLA, DELLA VEDOVA, GIANLUCA, Pesole, G, Picardi, E, PIROLA, YURI, RIZZI, RAFFAELLA   +5 more
openaire   +4 more sources

Bioinformatics Pipeline for Transcriptome Sequencing Analysis

2016
The development of High Throughput Sequencing (HTS) for RNA profiling (RNA-seq) has shed light on the diversity of transcriptomes. While RNA-seq is becoming a de facto standard for monitoring the population of expressed transcripts in a given condition at a specific time, processing the huge amount of data it generates requires dedicated bioinformatics
Djebali, Sarah, Wucher, Valentin, Foissac, Sylvain, Hitte, Christophe, Corre, Erwan, Derrien, Thomas   +5 more
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Transcriptome analysis

2023
Mudassar Anisoddin Kazi, Kanchan Sambhwani, Avinash Mishra, Vaibhav A. Mantri   +3 more
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Analysis of human transcriptomes

Nature Genetics, 1999
Victor E Velculescu, Stephen L Madden, Lin Zhang, Alex E Lash, Jian Yu, Carlo Rago, Anita Lal, Clarence J Wang, Gary A Beaudry, Kristin M Ciriello, Brian P Cook, Michael R Dufault, Anne T Ferguson, Yuhong Gao, Tong-Chuan He, Heiko Hermeking, Siewleng K Hiraldo, Paul M Hwang, Marissa A Lopez, Hilary F Luderer, Brynna Mathews, Joseph M Petroziello, Kornelia Polyak, Leigh Zawel, Wen Zhang, Xiaoming Zhang, Wei Zhou, Frank G Haluska, Jin Jen, Saraswati Sukumar, Gregory M Landes, Gregory J Riggins, Bert Vogelstein, Kenneth W Kinzler   +33 more
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Distinct transcriptome architectures underlying lupus establishment and exacerbation

Cell, 2022
Hiroaki Hatano, Haruka Takahashi, Kazuyoshi Ishigaki   +2 more
exaly  

Transcriptome Analysis

2008
Jen-Tsan Ashley Chi, Joseph R. Nevins, Phillip G. Febbo   +2 more
openaire   +2 more sources