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Animal Behaviour SPECIAL ISSUE: KIN SELECTION
Animal Behaviour SPECIAL ISSUE: KIN SELECTION

... Geschwind, 2006). For instance, using whole-brain gene expression data in the honeybee, Chandrasekaran et al. (2011) built a brain transcription regulatory network to model and hypothesize hierarchical relationships between genes that encode transcription factors and their putative regulatory target ...
Getting Started
Getting Started

... annotation relies on computational methods (rapid)  functional literature exists for many genes/proteins prior to genome sequencing  GO annotation does not rely on a completed genome sequence! ...
Combination of Neuro-Fuzzy Network Models with Biological
Combination of Neuro-Fuzzy Network Models with Biological

... microarray data which is retrieved from such biological experiments as Boolean networks[6], differential equations[7], linear combination and weighted model[8], Bayesian networks[9] and neural networks[10]. But all the existing regulatory network models have some inevitable drawbacks. For example, B ...
Supplementary Methods, Figure Legends, Table
Supplementary Methods, Figure Legends, Table

lecture05_09
lecture05_09

... • When searching for a motif in a genome using PSSM or other methods – the motif is usually found all over the place ->The motif is considered real if found in the vicinity of a gene. • Checking experimentally for the binding sites of a specific TF (location analysis) – the sites that bind the motif ...
Epilepsy Advanced Sequencing Evaluation
Epilepsy Advanced Sequencing Evaluation

... responsiveness to pyridoxine in some patients.6 Results may also be useful in assessing the prognosis and in counseling of family members. Chromosomal microarray analysis (CMA), which detects chromosomal rearrangements and subtle microdeletions/ duplications, is often the first-tier genetic test for ...
Description 1. Identifying differentially expressed genes using t-test
Description 1. Identifying differentially expressed genes using t-test

... a) “./data/TN_normalized_gene_exp.txt” TN-normalized gene expression data. b) “./data/TN_normalized_miRNA_exp.txt”: TN-normalized miRNA expression data. c) “./data/gene_list.txt” The list of every genes in gene expression data. d) “./data/mirna_list.txt” The list of every miRNA in miRNA expression d ...
Télécharger - Options Méditerranéennes
Télécharger - Options Méditerranéennes

... applied MAS, some technologies may not be appropriate for all applications (e.g. genome-wide genotyping chips would be an expensive way to follow a few key loci in a segregating population). In addition, new techniques such as TILLING (Target Induced Local Lesions In Genomes; Till et al., 2003) will ...
Controlling complexity: the clinical relevance of mouse complex
Controlling complexity: the clinical relevance of mouse complex

... an orthologous gene in the mouse results in the same phenotype observed in humans. But even in these cases, one will obtain important insights into its biological functions. On the other hand, the expectations are different in drug research and development. In this case, a model should approximate a ...
Single nucleotide polymorphisms and the future of genetic
Single nucleotide polymorphisms and the future of genetic

... Large insertion/deletion polymorphism such as Alu insertions are easy to identify and genotype given the large differences in resulting amplified fragments. The traditional uses of polymorphism in gene mapping ...
synthesis Gene Cluster of Streptomyces clavuligerus
synthesis Gene Cluster of Streptomyces clavuligerus

... tuberculosis and Mycobacterium leprae, DNA sequences for a argCJBDFRGH cluster have been deposited in EMBL database (Accession numbers Z85982 and L78811, respectively). Arginine biosynthesis genes in Bacillus subtilis are organized in two operons, one is argCJBDcarAB-argF for early steps in the argi ...
Dian Yang - A Critical Review of Gene Set Enrichment Analysis: Development and Improvement
Dian Yang - A Critical Review of Gene Set Enrichment Analysis: Development and Improvement

... Genome-­‐wide   expression   analysis   by   microarrays   has   been   one   of   the   most   widely  used  as  measurement  tools  in  biological  research.  Currently,  the  challenge  of   microarray  is  no  longer  to  get  enough  g ...
Bioinfo_Course_Rotterdam
Bioinfo_Course_Rotterdam

... characterised by the development of high throughput techniques such as genome sequencing, and genomic databases such as Ensembl and UCSC appeared. In the 2000s, gene expression arrays enter mainstream biology, and require databases that are hosting and presenting results from those experiments, such ...
Web API In addition to the web interface, one can access Cas
Web API In addition to the web interface, one can access Cas

... melanogaster (BDGP6) - Fruit fly"}, {"type": "other", "id": 10, "name": "Caenorhabditis elegans (WBcel235)"}, {"type": "plant", "id": 11, "name": "Glycine max (JGI v1.0) - Soybean"}, {"type": "vertebrate", "id": 12, "name": "Sus scrofa (Ensembl v10.2) - Pig"}]} ...
PHYCOCYANIN ALPHA AND BETA SUBUNITS OF Anabaena
PHYCOCYANIN ALPHA AND BETA SUBUNITS OF Anabaena

... activating the caspase activities that are associated with the extrinsic cell death pathway ...
Molecular Marker Technology for Cotton Plant Improvement
Molecular Marker Technology for Cotton Plant Improvement

A spectrum of genes expressed during early stages of rice... flower development
A spectrum of genes expressed during early stages of rice... flower development

... similarity, function can be hypothesized from RNA and protein synthesis patterns and can be further tested through phenotypic analysis of plants with gain-of-function or lossof-function alleles. These latter molecular-genetic tools are available for both these plant species. Genes expressed in a dev ...
Identification and Clustering of Genes Expressed In Circadian
Identification and Clustering of Genes Expressed In Circadian

... called Mop3 has been identified as a key regulator of circadian rhythms in mammals (Bunger et al., 2000). It would be useful to understand these regulatory networks because they may yield insight into the regulation of circadian behaviors in humans, and may help develop ...
Paper  - Ran Blekhman
Paper - Ran Blekhman

... Furthermore, although sites such as TFBSs can be computationally predicted using evolutionary conservation as a criterion, estimates of the true level of selective constraint (defined as the fraction of strongly deleterious mutations occurring at a locus) in regulatory regions will, by definition, b ...
`Candidatus Midichloria mitochondrii`, an endosymbiont of the tick
`Candidatus Midichloria mitochondrii`, an endosymbiont of the tick

The MetaCyc database of metabolic pathways
The MetaCyc database of metabolic pathways

... (PGDBs), each containing the full genome and predicted metabolic network of one organism, including metabolites, enzymes, reactions, metabolic pathways, predicted operons, transport systems, and pathway-hole fillers. The BioCyc website offers a variety of tools for querying and analyzing PGDBs, incl ...
Introduction to RNA sequencing
Introduction to RNA sequencing

... Why sequence RNA (versus DNA)? • Interpreting mutations that do not have an obvious effect on protein sequence – ‘Regulatory’ mutations that affect what mRNA isoform is expressed and how much • e.g. splice sites, promoters, exonic/intronic splicing motifs, etc. ...
Human microRNA target analysis and gene ontology clustering by
Human microRNA target analysis and gene ontology clustering by

Introduction Thomas Hunt Morgan
Introduction Thomas Hunt Morgan

... • In contrast, linked genes, genes located on the same chromosome, tend to move together through meiosis and fertilization. • Under normal Mendelian genetic rules, we would not expect linked genes to recombine into assortments of alleles not found in the parents. – If the seed color and seed coat ge ...
Why Gene Duplication? ,
Why Gene Duplication? ,

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Pathogenomics

Pathogen infections are among the leading causes of infirmity and mortality among humans and other animals in the world. Until recently, it has been difficult to compile information to understand the generation of pathogen virulence factors as well as pathogen behaviour in a host environment. The study of Pathogenomics attempts to utilize genomic and metagenomics data gathered from high through-put technologies (e.g. sequencing or DNA microarrays), to understand microbe diversity and interaction as well as host-microbe interactions involved in disease states. The bulk of pathogenomics research concerns itself with pathogens that affect human health; however, studies also exist for plant and animal infecting microbes.
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