Mathematical Chemistry: the area of research engaged in novel applications of mathematics to chemistry; it concerns itself principally with the mathematical modeling of chemical phenomena. The basic models for mathematical chemistry are molecular graph and topological index.
In this session we will use a set of reads enriched for viral sequences and sequences from wastewater treatment plants. Specifically the aim is to assemble whole SARS-CoV-2 genomes from such...
As ‘omics research advances, separations data such as chromatograms and nuclear magnetic resonance (NMR) spectra are being used as direct inputs to machine-learning algorithms ranging...
Current cancer management follows a multipronged approach that include surgery, radiation, and chemotherapy. There is a pressing need for a platform technology to provide precision chemother...
Current cancer management follows a multipronged approach that include surgery, radiation, and chemotherapy. There is a pressing need for a platform technology to provide precision chemother...
DATE: June 16, 2020 TIME: 8:00am PT Multi-wavelength analysis of hydrodynamic data collected on the latest analytical ultracentrifugation instruments provides additional resolution and insig...
Analytical Method Validation work is based on a variety of guidelines and requirements hence being time-consuming and stressful. Reducing this work and improving efficiency while ensuring th...
Bioreactor modeling can inform understanding of cellular metabolism—including aspects of growth kinetics, productivity, media consumption, and metabolite secretion—and can be use...
As the most common female malignancy, breast cancer is the most likely reason that a woman will die of cancer around the world. Breast cancer mortality has dropped in the U.S. by 35% since 19...
Lung cancer is the leading cause of cancer-related mortality worldwide. Large-scale sequencing studies have revealed the complex genomic landscape of NSCLC and genomic differences between lun...
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...
 Within the field of bioinformatics, scientists and organizations struggle with multiple problems. Key problems are the large amount of data and that the people who understand biology (or che...
In this session we will use a set of reads enriched for viral sequences and sequences from wastewater treatment plants. Specifically the aim is to assemble whole SARS-CoV-2 genomes from such...
As ‘omics research advances, separations data such as chromatograms and nuclear magnetic resonance (NMR) spectra are being used as direct inputs to machine-learning algorithms ranging...
Current cancer management follows a multipronged approach that include surgery, radiation, and chemotherapy. There is a pressing need for a platform technology to provide precision chemother...
Current cancer management follows a multipronged approach that include surgery, radiation, and chemotherapy. There is a pressing need for a platform technology to provide precision chemother...
DATE: June 16, 2020 TIME: 8:00am PT Multi-wavelength analysis of hydrodynamic data collected on the latest analytical ultracentrifugation instruments provides additional resolution and insig...
Analytical Method Validation work is based on a variety of guidelines and requirements hence being time-consuming and stressful. Reducing this work and improving efficiency while ensuring th...
Bioreactor modeling can inform understanding of cellular metabolism—including aspects of growth kinetics, productivity, media consumption, and metabolite secretion—and can be use...
As the most common female malignancy, breast cancer is the most likely reason that a woman will die of cancer around the world. Breast cancer mortality has dropped in the U.S. by 35% since 19...
Lung cancer is the leading cause of cancer-related mortality worldwide. Large-scale sequencing studies have revealed the complex genomic landscape of NSCLC and genomic differences between lun...
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...
 Within the field of bioinformatics, scientists and organizations struggle with multiple problems. Key problems are the large amount of data and that the people who understand biology (or che...
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