Results 301 to 310 of about 547,402 (323)
Factors for Rituximab Refractoriness in AQP4‐IgG+ NMOSD: A Cohort Study
ABSTRACT Objective Neuromyelitis optica spectrum disorder (NMOSD) is a severe autoimmune condition of the central nervous system (CNS), often associated with aquaporin‐4 antibodies (AQP4‐IgG). Rituximab, a CD20+ B‐cell depleting monoclonal antibody, is widely used as first‐line therapy.
Mariano Marrodan+8 more
wiley +1 more source
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Complexity of automated gene annotation
Biosystems, 2011Integration of high-throughput data with functional annotation by graph-theoretic methods has been postulated as promising way to unravel the function of unannotated genes. Here, we first review the existing graph-theoretic approaches for automated gene function annotation and classify them into two categories with respect to their relation to two ...
Nikoloski, Zoran (Prof. Dr.)+3 more
openaire +4 more sources
Methods for Gene Ontology Annotation [PDF]
The Gene Ontology (GO) is an established dynamic and structured vocabulary that has been successfully used in gene and protein annotation. Designed by biologists to improve data integration, GO attempts to replace the multiple nomenclatures used by specialised and large biological knowledgebases.
Emily Dimmer+3 more
openaire +2 more sources
Visual annotation of the gene database
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009The genes in NCBI databases are currently annotated with itemized text (Gene Reference Into Function, or GeneRIF). A previous work suggests that the visual presentation can be more effective when time and space are under heavy constraints. Here we report a novel annotation of the genome information using Web 2.0 technologies: GeneGIF (Gene Graphics ...
Xishu Wang+4 more
openaire +3 more sources
Gene Annotation: Prediction and Testing
Annual Review of Genomics and Human Genetics, 2003Fifty years after the publication of DNA structure, the whole human genome sequence will be officially finished. This achievement marks the beginning of the task to catalogue every human gene and identify each of their function expression patterns. Currently, researchers estimate that there are about 30,000 human genes and approximately 70% of these ...
Jennifer L. Ashurst, John E. Collins
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Annotating Noncoding RNA Genes
Annual Review of Genomics and Human Genetics, 2007Noncoding RNA genes produce a functional RNA product rather than a translated protein. More than 1500 homologs of known “classical” RNA genes can be annotated in the human genome sequence, and automatic homology-based methods predict up to 5000 related sequences.
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A Dictionary-Based Approach for Gene Annotation
Journal of Computational Biology, 1999This paper describes a fast and fully automated dictionary-based approach to gene annotation and exon prediction. Two dictionaries are constructed, one from the nonredundant protein OWL database and the other from the dbEST database. These dictionaries are used to obtain O (1) time lookups of tuples in the dictionaries (4 tuples for the OWL database ...
Pachter, Lior+6 more
openaire +6 more sources
2009
Gene annotation used to refer to the prediction and annotation of a coding transcript on a region of the genome, but as the complexity of the functional features on the genome increases, users require prediction of noncoding RNAs, alternatively spliced transcripts, pseudogenes, and conserved elements. Eight years after the initial draft sequence of the
Jennifer Harrow, Laurens G. Wilming
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Gene annotation used to refer to the prediction and annotation of a coding transcript on a region of the genome, but as the complexity of the functional features on the genome increases, users require prediction of noncoding RNAs, alternatively spliced transcripts, pseudogenes, and conserved elements. Eight years after the initial draft sequence of the
Jennifer Harrow, Laurens G. Wilming
openaire +2 more sources
Bioinformatics: Databasing and Gene Annotation
2008"Omics" experiments amass large amounts of data requiring integration of several data sources for data interpretation. For instance, microarray, metabolomic, and proteomic experiments may at most yield a list of active genes, metabolites, or proteins, respectively. More generally, the experiments yield active features that represent subsequences of the
Lyle D. Burgoon, Timothy R. Zacharewski
openaire +3 more sources