The Cancer Genome Anatomy Project (CGAP) xProfiler and cDNA Digital Gene Expression Displayer (DGED) have been made available to the scientific community over a decade ago and since then were used widely to find genes which are differentially expressed between cancer and normal tissues. The tissue types are usually chosen according to the ontology hierarchy developed by NCBI. The xProfiler uses an internally available flat file database to determine the presence or absence of genes in the chosen libraries, while cDNA DGED uses the publicly available UniGene Expression and Gene relational databases to count the sequences found for each gene in the presented libraries
Microarray technology has transformed the field of cancer biology by enabling the simultaneous evalu...
BACKGROUND: Improvements in genome sequence annotation revealed discrepancies in the original probes...
AbstractSequence tag count-based gene expression analysis is potent for the identification of candid...
The Cancer Genome Anatomy Project (CGAP) xProfiler and cDNA Digital Gene Expression Displayer (DGED)...
There are currently a few bioinformatics tools, such as dbEST, DDD and GEPIS to name a few, which ha...
Quantitative gene expression analysis plays an important role in identifying differentially expresse...
Quantitative gene expression analysis plays an important role in identifying differentially expresse...
EST expression profiling provides an attractive tool for studying differential gene expression, but ...
The search for human genes specifically expressed in different tumours is one of the major challenge...
MOTIVATION: Due to the development of high-throughput technologies such as microarrays, it has becom...
Abstract: The Cancer Genome Atlas (TCGA) was a large-scale collaborative project initiated by the N...
Cataloged from PDF version of article.Transcriptome experiments are performed to assess protein abun...
AbstractThe strikingly wide and bimodal gene distribution exhibited by the human genome has prompted...
Cancer is a comparatively well-studied disease, yet despite decades of intense focus, we demonstrate...
Transcriptome experiments are performed to assess protein abundance through mRNA expression analysis...
Microarray technology has transformed the field of cancer biology by enabling the simultaneous evalu...
BACKGROUND: Improvements in genome sequence annotation revealed discrepancies in the original probes...
AbstractSequence tag count-based gene expression analysis is potent for the identification of candid...
The Cancer Genome Anatomy Project (CGAP) xProfiler and cDNA Digital Gene Expression Displayer (DGED)...
There are currently a few bioinformatics tools, such as dbEST, DDD and GEPIS to name a few, which ha...
Quantitative gene expression analysis plays an important role in identifying differentially expresse...
Quantitative gene expression analysis plays an important role in identifying differentially expresse...
EST expression profiling provides an attractive tool for studying differential gene expression, but ...
The search for human genes specifically expressed in different tumours is one of the major challenge...
MOTIVATION: Due to the development of high-throughput technologies such as microarrays, it has becom...
Abstract: The Cancer Genome Atlas (TCGA) was a large-scale collaborative project initiated by the N...
Cataloged from PDF version of article.Transcriptome experiments are performed to assess protein abun...
AbstractThe strikingly wide and bimodal gene distribution exhibited by the human genome has prompted...
Cancer is a comparatively well-studied disease, yet despite decades of intense focus, we demonstrate...
Transcriptome experiments are performed to assess protein abundance through mRNA expression analysis...
Microarray technology has transformed the field of cancer biology by enabling the simultaneous evalu...
BACKGROUND: Improvements in genome sequence annotation revealed discrepancies in the original probes...
AbstractSequence tag count-based gene expression analysis is potent for the identification of candid...