Results 51 to 60 of about 3,346,579 (352)
Annotating Protein Functional Residues by Coupling High-Throughput Fitness Profile and Homologous-Structure Analysis. [PDF]
, 2016 Identification and annotation of functional residues are fundamental questions in protein sequence analysis. Sequence and structure conservation provides valuable information to tackle these questions.
Du, Yushen +7 more
core +2 more sources
The First Complete Genome Sequence of a Novel Tetrastichus brontispae RNA Virus-1 (TbRV-1)
Viruses, 2019 The complete sequence of a novel RNA virus isolated from Tetrastichus brontispae (TbRV-1) was determined to be 12,239 nucleotides in length with five non-overlapping, linearly arranged coding sequences (CDS), potentially encoding nucleoproteins ...
E Meng +8 more
doaj +1 more source
Statistical Modeling of RNA-Seq Data [PDF]
Statistical Science 2011, Vol. 26, No. 1, 62-83, 2011 Recently, ultra high-throughput sequencing of RNA (RNA-Seq) has been developed as an approach for analysis of gene expression. By obtaining tens or even hundreds of millions of reads of transcribed sequences, an RNA-Seq experiment can offer a comprehensive survey of the population of genes (transcripts) in any sample of interest.
arxiv +1 more source
The EVcouplings Python framework for coevolutionary sequence analysis
bioRxiv, 2018 Summary Coevolutionary sequence analysis has become a commonly used technique for de novo prediction of the structure and function of proteins, RNA, and protein complexes.
Thomas A. Hopf +15 more
semanticscholar +1 more source
Sequence analysis of L RNA of Lassa virus
Virology, 2004 The L RNA of three Lassa virus strains originating from Nigeria, Ghana/Ivory Coast, and Sierra Leone was sequenced and the data subjected to structure predictions and phylogenetic analyses. The L gene products had 2218-2221 residues, diverged by 18% at the amino acid level, and contained several conserved regions.
Stephan Günther +4 more
openaire +3 more sources
Statistical Design and Analysis of RNA Sequencing Data [PDF]
Genetics, 2010 AbstractNext-generation sequencing technologies are quickly becoming the preferred approach for characterizing and quantifying entire genomes. Even though data produced from these technologies are proving to be the most informative of any thus far, very little attention has been paid to fundamental design aspects of data collection and analysis, namely
Paul L. Auer, Rebecca W. Doerge
openaire +3 more sources
Frontiers in Neuroscience, 2020 Potential pathogenic factors, other than well-known APP, APOE4, and PSEN, can be further identified from transcriptomics studies of differentially expressed genes (DEGs) that are specific for Alzheimer’s disease (AD), but findings are often inconsistent ...
Sze Chung Yuen +3 more
doaj +1 more source
DNApi: A De Novo Adapter Prediction Algorithm for Small RNA Sequencing Data. [PDF]
PLoS ONE, 2016 With the rapid accumulation of publicly available small RNA sequencing datasets, third-party meta-analysis across many datasets is becoming increasingly powerful.
Junko Tsuji, Zhiping Weng
doaj +1 more source
Nucleic Acids Research, 2019 As the first web server to analyze various biological sequences at sequence level based on machine learning approaches, many powerful predictors in the field of computational biology have been developed with the assistance of the BioSeq-Analysis. However,
B. Liu, Xin Gao, Han Zhang
semanticscholar +1 more source
A computational method for estimating the PCR duplication rate in DNA and RNA-seq experiments. [PDF]
, 2017 BackgroundPCR amplification is an important step in the preparation of DNA sequencing libraries prior to high-throughput sequencing. PCR amplification introduces redundant reads in the sequence data and estimating the PCR duplication rate is important to
Bansal, Vikas
core +2 more sources