Computational Model: is a mathematical model in computational science that requires extensive computational resources to study the behavior of a complex system by computer simulation. The system under study is often a complex nonlinear system for which simple, intuitive analytical solutions are not readily available.
Everyone that uses titration in their lab knows how simple and fast the technique can be. However, uncertainty around when to replace electrodes creates confusion. Reagent quality, tubi...
This intensive workshop will introduce infrared spectroscopy, outline the various sample handling methods and provide guidance on the numerous transmission and reflectance methods available f...
Solid phase microextraction (SPME) is a versatile, non-exhaustive sample preparation tool that has been demonstrated to be well-suited for facile and effective analysis of a broad range of co...
In the postgenomic era, one expects the suite of chemical players in a brain region to be known and their functions uncovered. Perhaps surprisingly, many neurochemicals remain poorly characte...
A fast, reliable and low cost characterization of materials/ products as fed to a process, and/or resulting from different processing actions, represents one of the most challenging targets i...
Two projects looking at novel approaches to targeting inflammatory breast cancer will be presented. Inflammatory breast cancer (IBC) is a unique, understudied, and most lethal subtype account...
The oncogenic transcription factor c-MYC (MYC) is deregulated, and often overexpressed, in more than 50% of cancers. MYC deregulation is associated with poor prognosis and aggressive disease,...
In the past two decades a small number of infrequently dividing cells have been proposed as the source of multi-drug resistance during cancer treatment. These cells identified by their expres...
PacBio Sequencing simultaneously provides long sequence reads, high consensus accuracy, minimal sequence bias, and methylation detection. I will highlight new advances and updates on applying...
To date the anatomic extent of tumor (TNM-classification) has been by far the most important factors to predict the prognosis of cancer patients. However, this classification provides limited...
RNA sequencing unlocks the mysteries hidden in the transcriptome. Whether your goal is gene expression analysis, gene fusion analysis, SNP analysis or miRNA expression analysis, achieving hig...
High-throughput screening is widely useful in identifying genes and pathways that drive changes in cell behavior such as cell cycle regulation, metastasis, and drug resistance. Millipor...
In prior work, we have pursued how tumor reactive monoclonal antibody (mAb), together with activators of innate immune cells, like NK cells, can augment antibody dependent cell-mediated cytot...
Molecular analyses of cancer biology have tended to segregate between a focus on nucleic acids – DNA, RNA and their modifications – and a focus on proteins and protein function. P...
Understanding the immune repertoire is an important aspect of immuno-oncology research, which can be used to gather insights into the function and overall status of the immune system. We have...
Gene editing using CRISPR is a very promising technology, and it has already had a significant impact on a number of research fields. However, while CRISPR makes targeted modifications easier...
Decoding human genetic disease allows us to develop models of the pathology that can be directly tested with gene correction or targeted drug therapy. Dominant negative mutations are pa...
We introduce a differential abundance analysis method for the analysis of sparse high-throughput data from large-scale surveys of marker genes for microbial communities. Our approach relies o...
Tumors are often categorized into standard molecular subtypes. However, largescale studies have demonstrated that patient heterogeneity in the regulatory make-up of tumors remain. At the tran...
In this presentation I will describe results from a family study designed to identify the genetic cause for familial clustering of several early onset cancers. Data from next generatio...
Complex disease phenotypes - obesity, type II diabetes, and cancer challenge simple models in both evolution and biology. Examination of molecular networks and their dynamic behavior o...
DATE: March 21, 2018TIME: 8:00AM PST, 11:00AM ESTMass cytometry, or cytometry by time-of-flight (the basis of the CyTOF® system), enables quantification of the abundance and fu...
Machine learning approaches to pattern discovery in protein-protein interaction networks of Huntington’s disease brain and model organisms are revealing novel connections of the disease...
Everyone that uses titration in their lab knows how simple and fast the technique can be. However, uncertainty around when to replace electrodes creates confusion. Reagent quality, tubi...
This intensive workshop will introduce infrared spectroscopy, outline the various sample handling methods and provide guidance on the numerous transmission and reflectance methods available f...
Solid phase microextraction (SPME) is a versatile, non-exhaustive sample preparation tool that has been demonstrated to be well-suited for facile and effective analysis of a broad range of co...
In the postgenomic era, one expects the suite of chemical players in a brain region to be known and their functions uncovered. Perhaps surprisingly, many neurochemicals remain poorly characte...
A fast, reliable and low cost characterization of materials/ products as fed to a process, and/or resulting from different processing actions, represents one of the most challenging targets i...
Two projects looking at novel approaches to targeting inflammatory breast cancer will be presented. Inflammatory breast cancer (IBC) is a unique, understudied, and most lethal subtype account...
The oncogenic transcription factor c-MYC (MYC) is deregulated, and often overexpressed, in more than 50% of cancers. MYC deregulation is associated with poor prognosis and aggressive disease,...
In the past two decades a small number of infrequently dividing cells have been proposed as the source of multi-drug resistance during cancer treatment. These cells identified by their expres...
PacBio Sequencing simultaneously provides long sequence reads, high consensus accuracy, minimal sequence bias, and methylation detection. I will highlight new advances and updates on applying...
To date the anatomic extent of tumor (TNM-classification) has been by far the most important factors to predict the prognosis of cancer patients. However, this classification provides limited...
RNA sequencing unlocks the mysteries hidden in the transcriptome. Whether your goal is gene expression analysis, gene fusion analysis, SNP analysis or miRNA expression analysis, achieving hig...
High-throughput screening is widely useful in identifying genes and pathways that drive changes in cell behavior such as cell cycle regulation, metastasis, and drug resistance. Millipor...
In prior work, we have pursued how tumor reactive monoclonal antibody (mAb), together with activators of innate immune cells, like NK cells, can augment antibody dependent cell-mediated cytot...
Molecular analyses of cancer biology have tended to segregate between a focus on nucleic acids – DNA, RNA and their modifications – and a focus on proteins and protein function. P...
Understanding the immune repertoire is an important aspect of immuno-oncology research, which can be used to gather insights into the function and overall status of the immune system. We have...
Gene editing using CRISPR is a very promising technology, and it has already had a significant impact on a number of research fields. However, while CRISPR makes targeted modifications easier...
Decoding human genetic disease allows us to develop models of the pathology that can be directly tested with gene correction or targeted drug therapy. Dominant negative mutations are pa...
We introduce a differential abundance analysis method for the analysis of sparse high-throughput data from large-scale surveys of marker genes for microbial communities. Our approach relies o...
Tumors are often categorized into standard molecular subtypes. However, largescale studies have demonstrated that patient heterogeneity in the regulatory make-up of tumors remain. At the tran...
In this presentation I will describe results from a family study designed to identify the genetic cause for familial clustering of several early onset cancers. Data from next generatio...
Complex disease phenotypes - obesity, type II diabetes, and cancer challenge simple models in both evolution and biology. Examination of molecular networks and their dynamic behavior o...
DATE: March 21, 2018TIME: 8:00AM PST, 11:00AM ESTMass cytometry, or cytometry by time-of-flight (the basis of the CyTOF® system), enables quantification of the abundance and fu...
Machine learning approaches to pattern discovery in protein-protein interaction networks of Huntington’s disease brain and model organisms are revealing novel connections of the disease...
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