Transcriptomics: is the study of the transcriptome-the complete set of RNA transcripts that are produced by the genome, under specific circumstances or in a specific cell-using high-throughput methods, such as microarray analysis.
DNASTAR offers an integrated suite of software for assembling and analyzing data from all major next-generation sequencing platforms. The software supports a variety of reference guided and d...
The widespread adoption of precision medicine in oncology requires: a compendium of therapies targeting the genetic vulnerabilities of cancer; the diagnostic tools capable of generating a pr...
The effective implementation of personalised cancer therapeutic regimens depends on the successful identification and translation of informative biomarkers to aid clinical decision making. Th...
The next generation sequencing technologies are profoundly influencing our way to study biology. We have previously developed cap-analysis gene expression (CAGE) to simultaneously mRNA/noncod...
In this presentation, exome data from individuals with prostate cancer will be aligned against an annotated reference human genome and SNPs will be identified using DNASTARs SeqMan NGen softw...
High throughput transcriptomic analyses have shown that most of the human genome is dynamically transcribed to produce an extraordinary range of overlapping and interlacing intronic, intergen...
RNASeq has become the primary method for studying changes in gene expression in modern genomics research. By directly sequencing the various types of RNA molecules, including mRNA, ncRNA, an...
Personalized medicine is expected to benefit from the combination of genomic information with the global monitoring of molecular components and physiological states. To ascertain whether this...
DNASTAR offers an integrated suite of software for assembling and analyzing data from all major next-generation sequencing platforms. The software supports a variety of reference guided and d...
The widespread adoption of precision medicine in oncology requires: a compendium of therapies targeting the genetic vulnerabilities of cancer; the diagnostic tools capable of generating a pr...
The effective implementation of personalised cancer therapeutic regimens depends on the successful identification and translation of informative biomarkers to aid clinical decision making. Th...
The next generation sequencing technologies are profoundly influencing our way to study biology. We have previously developed cap-analysis gene expression (CAGE) to simultaneously mRNA/noncod...
In this presentation, exome data from individuals with prostate cancer will be aligned against an annotated reference human genome and SNPs will be identified using DNASTARs SeqMan NGen softw...
High throughput transcriptomic analyses have shown that most of the human genome is dynamically transcribed to produce an extraordinary range of overlapping and interlacing intronic, intergen...
RNASeq has become the primary method for studying changes in gene expression in modern genomics research. By directly sequencing the various types of RNA molecules, including mRNA, ncRNA, an...
Personalized medicine is expected to benefit from the combination of genomic information with the global monitoring of molecular components and physiological states. To ascertain whether this...