Results 41 to 50 of about 2,190,860 (309)
Ribovore: ribosomal RNA sequence analysis for GenBank submissions and database curation
BMC Bioinformatics, 2021 Background The DNA sequences encoding ribosomal RNA genes (rRNAs) are commonly used as markers to identify species, including in metagenomics samples that may combine many organismal communities.
Alejandro A. Schäffer +7 more
doaj +1 more source
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
Tracking Cryptosporidium parvum by Sequence Analysis of Small Double-Stranded RNA
Emerging Infectious Diseases, 2001 We sequenced a 173-nucleotide fragment of the small double-stranded viruslike RNA of Cryptosporidium parvum isolates from 23 calves and 38 humans. Sequence diversity was detected at 17 sites.
Lihua Xiao +3 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
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
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
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
Metagenomic Analysis of Marigold: Mixed Infection Including Two New Viruses
Viruses, 2021 Marigold plants with symptoms of mosaic, crinkle, leaf curl and necrosis were observed and small RNA and ribo-depleted total RNA deep sequencing were conducted to identify the associated viruses.
Hang Yin +7 more
doaj +1 more source
PLIT: An alignment-free computational tool for identification of long non-coding RNAs in plant transcriptomic datasets [PDF]
Computers in Biology and Medicine, 105, pp. 169 - 181, Elevier,
2019, 2019 Long non-coding RNAs (lncRNAs) are a class of non-coding RNAs which play a significant role in several biological processes. RNA-seq based transcriptome sequencing has been extensively used for identification of lncRNAs. However, accurate identification of lncRNAs in RNA-seq datasets is crucial for exploring their characteristic functions in the genome
arxiv +1 more source