Scientists at Karolinska Institutet in collaboration with Estonian Competence Centre on Health Technologies have developed a new gene expression analysis method to widen the usage of blood in biomarker discovery and analysis. Their paper is published in the journal Scientific ...
Read More »Recommendations for differential expression analysis and biomarker discovery small RNA-Seq experiments in an age of liquid biopsies
Small RNA-Seq has emerged as a powerful tool in transcriptomics, gene expression profiling and biomarker discovery. Sequencing cell-free nucleic acids, particularly microRNA (miRNA), from liquid biopsies additionally provides exciting possibilities for molecular diagnostics, and might help establish disease-specific biomarker signatures. ...
Read More »SNV-DA – Multivariate models from RNA-Seq SNVs yield candidate molecular targets for biomarker discovery
It has recently been shown that significant and accurate single nucleotide variants (SNVs) can be reliably called from RNA-Seq data. These may provide another source of features for multivariate predictive modeling of disease phenotype for the prioritization of candidate biomarkers. ...
Read More »Latest version of Qlucore Omics Explorer aids data exploration and biomarker discovery
Qlucore, a world leader in the development of bioinformatics software, has today unveiled Qlucore Omics Explorer 3.2, the latest version of its advanced data analysis software. Researchers will be able to undertake deeper data exploration and biomarker discovery using the ...
Read More »A probabilistic approach for automated discovery of perturbed genes using expression data from microarray or RNA-Seq
In complex diseases, alterations of multiple molecular and cellular components in response to perturbations are indicative of disease physiology. While expression level of genes from high-throughput analysis can vary among patients, the common path among disease progression suggests that the ...
Read More »Tools for small RNA biomarker discovery using RNA-Seq
Small ncRNAs (sncRNAs) offer great hope as biomarkers of disease and response to treatment. This has been highlighted in the context of several medical conditions such as cancer, liver disease, cardiovascular disease, and central nervous system disorders, among many others. ...
Read More »Disease Biomarker Query from RNA-Seq Data
As a revolutionary way to unveil transcription, RNA-Seq technologies are challenging bioinformatics for its large data volumes and complexities. A large number of computational models have been proposed for differential expression (DE) analysis and normalization from different standing points. However, ...
Read More »Estimation of “sufficient” diversity for learning a molecular signature that is likely to translate to clinical settings
The biomarker discovery field is replete with molecular signatures that have not translated into the clinic despite ostensibly promising performance in predicting disease phenotypes. One widely cited reason is lack of classification consistency, largely due to failure to maintain performance ...
Read More »Next Generation Sequencing (NGS) Market – Global Forecast to 2020
Next Generation Sequencing (NGS) Market by Platforms (Illumina HiSeq, MiSeq, HiSeqX Ten, NextSeq 500,Thermo Fisher Ion Proton/PGM), Bioinformatics (Exome Sequencing, RNA-Seq, ChIP-Seq), Technology (SBS, SMRT) & by Application (Diagnostics, Personalized Medicine) – Global Forecast to 2020 The next generation sequencing ...
Read More »Upcoming Webinar – Next-Generation Sequencing Lessons in Translational Diagnostics
Title – NGS Lessons in Translational Diagnostics: Mining and Migrating Robust Cancer Biomarkers to Unified DNA and RNA NGS Panels Date – September 10, 2014 Time – 1:00pm Eastern Time In this webinar, a comprehensive approach for NGS-based biomarker discovery ...
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