AIMC Topic: Species Specificity
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Model-enabled gene search (MEGS) allows fast and direct discovery of enzymatic and transport gene functions in the marine bacterium .
The Journal of biological chemistry
Apr 26, 2017
Whereas genomes can be rapidly sequenced, the functions of many genes are incompletely or erroneously annotated because of a lack of experimental evidence or prior functional knowledge in sequence databases. To address this weakness, we describe here...
Decapodiformes
Expert Systems
Hawaii
Species Specificity
Bacterial Proteins
Aquatic Organisms
High-Throughput Nucleotide Sequencing
Gene Deletion
Open Reading Frames
Genomic Library
Genetic Complementation Test
Aliivibrio fischeri
Molecular Sequence Annotation
Pacific Ocean
Reproducibility of Results
Animals
Genomics
Escherichia coli
Aquaculture
Recombinant Proteins
Models, Genetic
Computer Simulation
Differential transcriptome analysis supports Rhodnius montenegrensis and Rhodnius robustus (Hemiptera, Reduviidae, Triatominae) as distinct species.
PloS one
Apr 13, 2017
Chagas disease is one of the main parasitic diseases found in Latin America and it is estimated that between six and seven million people are infected worldwide. Its etiologic agent, the protozoan Trypanosoma cruzi, is transmitted by triatomines, som...
Ontogeny and the process of biomineralization in the trichomes of Loasaceae.
American journal of botany
Mar 8, 2017
PREMISE OF THE STUDY: South American Loasaceae have a morphologically complex trichome cover, which is characterized by multiple biomineralization. The current study investigates the ontogeny of these complex trichomes and the process of their biomin...
Ontogenetic Shifts in Brain Organization in the Bluespotted Stingray Neotrygon kuhlii (Chondrichthyes: Dasyatidae).
Brain, behavior and evolution
Feb 28, 2017
Fishes exhibit lifelong neurogenesis and continual brain growth. One consequence of this continual growth is that the nervous system has the potential to respond with enhanced plasticity to changes in ecological conditions that occur during ontogeny....
Interspecies gene function prediction using semantic similarity.
BMC systems biology
Dec 23, 2016
BACKGROUND: Gene Ontology (GO) is a collaborative project that maintains and develops controlled vocabulary (or terms) to describe the molecular function, biological roles and cellular location of gene products in a hierarchical ontology. GO also pro...
Artificial neural networks and geometric morphometric methods as a means for classification: A case-study using teeth from Carcharhinus sp. (Carcharhinidae).
Journal of morphology
Nov 28, 2016
Over the past few decades, geometric morphometric methods have become increasingly popular and powerful tools to describe morphological data while over the same period artificial neural networks have had a similar rise in the classification of specim...
BP Neural Network Could Help Improve Pre-miRNA Identification in Various Species.
BioMed research international
Aug 22, 2016
MicroRNAs (miRNAs) are a set of short (21-24 nt) noncoding RNAs that play significant regulatory roles in cells. In the past few years, research on miRNA-related problems has become a hot field of bioinformatics because of miRNAs' essential biologica...
Eliciting the Functional Taxonomy from protein annotations and taxa.
Scientific reports
Aug 18, 2016
The advances of omics technologies have triggered the production of an enormous volume of data coming from thousands of species. Meanwhile, joint international efforts like the Gene Ontology (GO) consortium have worked to provide functional informati...
The Disease Portals, disease-gene annotation and the RGD disease ontology at the Rat Genome Database.
Database : the journal of biological databases and curation
Mar 23, 2016
The Rat Genome Database (RGD;http://rgd.mcw.edu/) provides critical datasets and software tools to a diverse community of rat and non-rat researchers worldwide. To meet the needs of the many users whose research is disease oriented, RGD has created a...
EffectorP: predicting fungal effector proteins from secretomes using machine learning.
The New phytologist
Dec 17, 2015
Eukaryotic filamentous plant pathogens secrete effector proteins that modulate the host cell to facilitate infection. Computational effector candidate identification and subsequent functional characterization delivers valuable insights into plant-pat...
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