Results 1 to 10 of about 240,068 (314)
Interpreting Viral Deep Sequencing Data with GLUE [PDF]
Viruses, 2019 Using deep sequencing technologies such as Illumina’s platform, it is possible to obtain reads from the viral RNA population revealing the viral genome diversity within a single host.
Joshua B. Singer +15 more
doaj +5 more sources
Whole-Genome Deep Sequencing of the Healthy Adult Nasal Microbiome [PDF]
MicroorganismsThis study aimed to determine shifts in microbial populations regarding richness and diversity from the daily use of a popular over-the-counter nasal spray.
Mark Cannon +3 more
doaj +2 more sources
Correction to "Use of Deep Sequencing to Evaluate Transitions in Microbial Communities in Stranded <i>Sargassum</i>". [PDF]
Int J Microbioleuropepmc +3 more sources
Proteome sequencing goes deep [PDF]
Current Opinion in Chemical Biology, 2015 Advances in mass spectrometry (MS) have transformed the scope and impact of protein characterization efforts. Identifying hundreds of proteins from rather simple biological matrices, such as yeast, was a daunting task just a few decades ago. Now, expression of more than half of the estimated ∼20,000 human protein coding genes can be confirmed in record
Alicia L, Richards +2 more
openaire +2 more sources
Deep Reinforcement Learning for Sequence-to-Sequence Models [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2019 In recent times, sequence-to-sequence (seq2seq) models have gained a lot of popularity and provide state-of-the-art performance in a wide variety of tasks such as machine translation, headline generation, text summarization, speech to text conversion, and image caption generation.
Yaser Keneshloo +3 more
openaire +3 more sources
Making sense of deep sequencing [PDF]
The International Journal of Neuropsychopharmacology, 2014 This review, the first of an occasional series, tries to make sense of the concepts and uses of deep sequencing of polynucleic acids (DNA and RNA). Deep sequencing, synonymous with next-generation sequencing, high-throughput sequencing and massively parallel sequencing, includes whole genome sequencing but is more often and diversely applied to ...
D, Goldman, K, Domschke
openaire +2 more sources
Predicting antibody binders and generating synthetic antibodies using deep learning
mAbs, 2022 The antibody drug field has continually sought improvements to methods for candidate discovery and engineering. Historically, most such methods have been laboratory-based, but informatics methods have recently started to make an impact.
Yoong Wearn Lim +2 more
doaj +1 more source
Deep Sequencing of Chicken microRNAs [PDF]
BMC Genomics, 2008 The use of new, deep sequencing technologies has greatly accelerated microRNA discovery. We have applied this approach to the identification of chicken microRNAs and to the comparison of microRNAs in chicken embryo fibroblasts (CEF) infected with Marek's disease virus (MDV) to those present in uninfected CEF.We obtained 125,463 high quality reads that ...
Isaacs Grace +10 more
openaire +3 more sources
RNA Editing and Its Roles in Plant Organelles
Frontiers in Genetics, 2021 RNA editing, a vital supplement to the central dogma, yields genetic information on RNA products that are different from their DNA templates. The conversion of C-to-U in mitochondria and plastids is the main kind of RNA editing in plants. Various factors
Wei Hao +12 more
doaj +1 more source
Deep Sequencing of 10,000 Human Genomes [PDF]
Proceedings of the National Academy of Sciences, 2016 AbstractWe report on the sequencing of 10,545 human genomes at 30-40x coverage with an emphasis on quality metrics and novel variant and sequence discovery. We find that 84% of an individual human genome can be sequenced confidently. This high confidence region includes 91.5% of exon sequence and 95.2% of known pathogenic variant positions.
Telenti, Amalio +18 more
openaire +2 more sources