CONFERENCE PROCEEDING Proceedings of the PDA/FDA Adventitious Viruses in Biologics: Detection and Mitigation Strategies Workshop in Bethesda, MD, USA; December 1-3, 2010 Guest Editors: Arifa Khan (Bethesda, MD), Patricia Hughes (Bethesda, MD) and Michael Wiebe (San Francisco, CA) The rate at which unknown adventitious agents are being discovered is accelerating. The ability to mitigate this risk begins with detection. Several molecular technologies for the detection of adventitious agent genomic signatures are reviewed here. Massively parallel sequencing (MP-Seq) is distinguished by its breadth of coverage. Supported by trained virologists and as part of a quality system, MP-Seq can be an early detection method for safe production of biologics.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.5731/pdajpst.2011.00836 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Determining whether an ipsilateral breast carcinoma recurrence is a true recurrence or a new primary remains challenging based solely on clinicopathologic features. Algorithms based on these features have estimated that up to 68% of recurrences might be new primaries. However, few studies have analyzed the clonal relationship between primary and secondary carcinomas to establish the true nature of recurrences.
View Article and Find Full Text PDFA foundation model of transcription across human cell types.
Nature
January 2025
Program of Mathematical Genomics, Department of Systems Biology, Columbia University, New York, NY, USA.
Transcriptional regulation, which involves a complex interplay between regulatory sequences and proteins, directs all biological processes. Computational models of transcription lack generalizability to accurately extrapolate to unseen cell types and conditions. Here we introduce GET (general expression transformer), an interpretable foundation model designed to uncover regulatory grammars across 213 human fetal and adult cell types.
View Article and Find Full Text PDFActive learning of enhancers and silencers in the developing neural retina.
Cell Syst
December 2024
The Edison Family Center for Genome Sciences & Systems Biology, Saint Louis, MO 63110, USA; Department of Genetics, Saint Louis, MO 63110, USA. Electronic address:
Deep learning is a promising strategy for modeling cis-regulatory elements. However, models trained on genomic sequences often fail to explain why the same transcription factor can activate or repress transcription in different contexts. To address this limitation, we developed an active learning approach to train models that distinguish between enhancers and silencers composed of binding sites for the photoreceptor transcription factor cone-rod homeobox (CRX).
View Article and Find Full Text PDFMutation impact on mRNA versus protein expression across human cancers.
Gigascience
January 2025
Department of Genetics and Genomic Sciences, Department of Artificial Intelligence and Human Health, Center for Transformative Disease Modeling, Tisch Cancer Institute, Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Background: Cancer mutations are often assumed to alter proteins, thus promoting tumorigenesis. However, how mutations affect protein expression-in addition to gene expression-has rarely been systematically investigated. This is significant as mRNA and protein levels frequently show only moderate correlation, driven by factors such as translation efficiency and protein degradation.
View Article and Find Full Text PDFProperties of Maxentropic DNA Synthesis Codes.
Entropy (Basel)
November 2024
Science, Mathematics and Technology Cluster, Singapore University of Technology and Design (SUTD), 8 Somapah Rd, Singapore 487372, Singapore.
Low-weight codes have been proposed for efficiently synthesizing deoxyribonucleic acid (DNA) for massive data storage, where a multiple of DNA strands are synthesized in parallel. We report on the redundancy and information rate of maxentropic low-weight codes for asymptotically large codeword length. We compare the performance of low-complexity nibble replacement (NR) codes, which are designed to minimize the synthesis time, with the performance of maxentropic low-weight codes.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!