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https://www.readbyqxmd.com/read/27933520/mouse-genome-informatics-mgi-resources-for-mining-mouse-genetic-genomic-and-biological-data-in-support-of-primary-and-translational-research
#1
Janan T Eppig, Cynthia L Smith, Judith A Blake, Martin Ringwald, James A Kadin, Joel E Richardson, Carol J Bult
The Mouse Genome Informatics (MGI), resource ( www.informatics.jax.org ) has existed for over 25 years, and over this time its data content, informatics infrastructure, and user interfaces and tools have undergone dramatic changes (Eppig et al., Mamm Genome 26:272-284, 2015). Change has been driven by scientific methodological advances, rapid improvements in computational software, growth in computer hardware capacity, and the ongoing collaborative nature of the mouse genomics community in building resources and sharing data...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27932867/clustering-algorithms-their-application-to-gene-expression-data
#2
REVIEW
Jelili Oyelade, Itunuoluwa Isewon, Funke Oladipupo, Olufemi Aromolaran, Efosa Uwoghiren, Faridah Ameh, Moses Achas, Ezekiel Adebiyi
Gene expression data hide vital information required to understand the biological process that takes place in a particular organism in relation to its environment. Deciphering the hidden patterns in gene expression data proffers a prodigious preference to strengthen the understanding of functional genomics. The complexity of biological networks and the volume of genes present increase the challenges of comprehending and interpretation of the resulting mass of data, which consists of millions of measurements; these data also inhibit vagueness, imprecision, and noise...
2016: Bioinformatics and Biology Insights
https://www.readbyqxmd.com/read/27925593/a-review-of-machine-learning-and-statistical-approaches-for-detecting-snp-interactions-in-high-dimensional-genomic-data
#3
Suneetha Uppu, Aneesh Krishna, Raj Gopalan
In this era of genome-wide association studies (GWAS), the quest for understanding the genetic architecture of complex diseases is rapidly increasing more than ever before. The development of high throughput genotyping and next generation sequencing technologies enables genetic epidemiological analysis of large scale data. These advances have led to the identification of a number of single nucleotide polymorphisms (SNPs) responsible for disease susceptibility. The interactions between SNPs associated with complex diseases are increasingly being explored in the current literature...
December 2, 2016: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/27924046/new-data-and-features-for-advanced-data-mining-in-manteia
#4
Olivier Tassy
Manteia is an integrative database available online at http://manteia.igbmc.fr which provides a large array of OMICs data related to the development of the mouse, chicken, zebrafish and human. The system is designed to use different types of data together in order to perform advanced datamining, test hypotheses or provide candidate genes involved in biological processes or responsible for human diseases. In this new version of the database, Manteia has been enhanced with new expression data originating from microarray and next generation sequencing experiments...
October 24, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/27924032/the-antismash-database-a-comprehensive-database-of-microbial-secondary-metabolite-biosynthetic-gene-clusters
#5
Kai Blin, Marnix H Medema, Renzo Kottmann, Sang Yup Lee, Tilmann Weber
Secondary metabolites produced by microorganisms are the main source of bioactive compounds that are in use as antimicrobial and anticancer drugs, fungicides, herbicides and pesticides. In the last decade, the increasing availability of microbial genomes has established genome mining as a very important method for the identification of their biosynthetic gene clusters (BGCs). One of the most popular tools for this task is antiSMASH. However, so far, antiSMASH is limited to de novo computing results for user-submitted genomes and only partially connects these with BGCs from other organisms...
October 24, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/27924025/brenda-in-2017-new-perspectives-and-new-tools-in-brenda
#6
Sandra Placzek, Ida Schomburg, Antje Chang, Lisa Jeske, Marcus Ulbrich, Jana Tillack, Dietmar Schomburg
The BRENDA enzyme database (www.brenda-enzymes.org) has developed into the main enzyme and enzyme-ligand information system in its 30 years of existence. The information is manually extracted from primary literature and extended by text mining procedures, integration of external data and prediction algorithms. Approximately 3 million data from 83 000 enzymes and 137 000 literature references constitute the manually annotated core. Text mining procedures extend these data with information on occurrence, enzyme-disease relationships and kinetic data...
October 19, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/27924014/the-string-database-in-2017-quality-controlled-protein-protein-association-networks-made-broadly-accessible
#7
Damian Szklarczyk, John H Morris, Helen Cook, Michael Kuhn, Stefan Wyder, Milan Simonovic, Alberto Santos, Nadezhda T Doncheva, Alexander Roth, Peer Bork, Lars J Jensen, Christian von Mering
A system-wide understanding of cellular function requires knowledge of all functional interactions between the expressed proteins. The STRING database aims to collect and integrate this information, by consolidating known and predicted protein-protein association data for a large number of organisms. The associations in STRING include direct (physical) interactions, as well as indirect (functional) interactions, as long as both are specific and biologically meaningful. Apart from collecting and reassessing available experimental data on protein-protein interactions, and importing known pathways and protein complexes from curated databases, interaction predictions are derived from the following sources: (i) systematic co-expression analysis, (ii) detection of shared selective signals across genomes, (iii) automated text-mining of the scientific literature and (iv) computational transfer of interaction knowledge between organisms based on gene orthology...
October 18, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/27924012/l1base-2-more-retrotransposition-active-line-1s-more-mammalian-genomes
#8
Tobias Penzkofer, Marten Jäger, Marek Figlerowicz, Richard Badge, Stefan Mundlos, Peter N Robinson, Tomasz Zemojtel
LINE-1 (L1) insertions comprise as much as 17% of the human genome sequence, and similar proportions have been recorded for other mammalian species. Given the established role of L1 retrotransposons in shaping mammalian genomes, it becomes an important task to track and annotate the sources of this activity: full length elements, able to encode the cis and trans acting components of the retrotransposition machinery. The L1Base database (http://l1base.charite.de) contains annotated full-length sequences of LINE-1 transposons including putatively active L1s...
October 18, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/27922118/mining-visualizing-and-comparing-multidimensional-biomolecular-data-using-the-genomics-data-miner-gmine-web-server
#9
Carla Proietti, Martha Zakrzewski, Thomas S Watkins, Bernard Berger, Shihab Hasan, Champa N Ratnatunga, Marie-Jo Brion, Peter D Crompton, John J Miles, Denise L Doolan, Lutz Krause
Genomics Data Miner (GMine) is a user-friendly online software that allows non-experts to mine, cluster and compare multidimensional biomolecular datasets. Various powerful visualization techniques are provided, generating high quality figures that can be directly incorporated into scientific publications. Robust and comprehensive analyses are provided via a broad range of data-mining techniques, including univariate and multivariate statistical analysis, supervised learning, correlation networks, clustering and multivariable regression...
December 6, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27922095/co-expression-network-analyses-identify-functional-modules-associated-with-development-and-stress-response-in-gossypium-arboreum
#10
Qi You, Liwei Zhang, Xin Yi, Kang Zhang, Dongxia Yao, Xueyan Zhang, Qianhua Wang, Xinhua Zhao, Yi Ling, Wenying Xu, Fuguang Li, Zhen Su
Cotton is an economically important crop, essential for the agriculture and textile industries. Through integrating transcriptomic data, we discovered that multi-dimensional co-expression network analysis was powerful for predicting cotton gene functions and functional modules. Here, the recently available transcriptomic data on Gossypium arboreum, including data on multiple growth stages of tissues and stress treatment samples were applied to construct a co-expression network exploring multi-dimensional expression (development and stress) through multi-layered approaches...
December 6, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27920536/evaluation-of-potential-novel-variations-and-their-interactions-related-to-bipolar-disorders-analysis-of-genome-wide-association-study-data
#11
Cengizhan Acikel, Yesim Aydin Son, Cemil Celik, Husamettin Gul
BACKGROUND: Multifactor dimensionality reduction (MDR) is a nonparametric approach that can be used to detect relevant interactions between single-nucleotide polymorphisms (SNPs). The aim of this study was to build the best genomic model based on SNP associations and to identify candidate polymorphisms that are the underlying molecular basis of the bipolar disorders. METHODS: This study was performed on Whole-Genome Association Study of Bipolar Disorder (dbGaP [database of Genotypes and Phenotypes] study accession number: phs000017...
2016: Neuropsychiatric Disease and Treatment
https://www.readbyqxmd.com/read/27919758/the-chemokinome-superfamily-in-channel-catfish-i-cxc-subfamily-and-their-involvement-in-disease-defense-and-hypoxia-responses
#12
Qiang Fu, Qifan Zeng, Yun Li, Yujia Yang, Chao Li, Shikai Liu, Tao Zhou, Ning Li, Jun Yao, Chen Jiang, Daoji Li, Zhanjiang Liu
Chemokines are a superfamily of structurally related chemotactic cytokines exerting significant roles in regulating cell migration and activation. They are defined by the presence of four conserved cysteine residues and are divided into four subfamilies depending on the arrangement of the first two conserved cysteines residues: CXC, CC, C and CX3C. In this study, a complete set of 17 CXC chemokine ligand (CXCL) genes was systematically identified and characterized from channel catfish genome through data mining of existing genomic resources...
December 2, 2016: Fish & Shellfish Immunology
https://www.readbyqxmd.com/read/27917288/towards-an-open-grapevine-information-system
#13
REVIEW
A-F Adam-Blondon, M Alaux, C Pommier, D Cantu, Z-M Cheng, G R Cramer, C Davies, S Delrot, L Deluc, G Di Gaspero, J Grimplet, A Fennell, J P Londo, P Kersey, F Mattivi, S Naithani, P Neveu, M Nikolski, M Pezzotti, B I Reisch, R Töpfer, M A Vivier, D Ware, H Quesneville
Viticulture, like other fields of agriculture, is currently facing important challenges that will be addressed only through sustained, dedicated and coordinated research. Although the methods used in biology have evolved tremendously in recent years and now involve the routine production of large data sets of varied nature, in many domains of study, including grapevine research, there is a need to improve the findability, accessibility, interoperability and reusability (FAIR-ness) of these data. Considering the heterogeneous nature of the data produced, the transnational nature of the scientific community and the experience gained elsewhere, we have formed an open working group, in the framework of the International Grapevine Genome Program (www...
2016: Horticulture Research
https://www.readbyqxmd.com/read/27917192/mining-centuries-old-in-situ-conserved-turkish-wheat-landraces-for-grain-yield-and-stripe-rust-resistance-genes
#14
Deepmala Sehgal, Susanne Dreisigacker, Savaş Belen, Ümran Küçüközdemir, Zafer Mert, Emel Özer, Alexey Morgounov
Wheat landraces in Turkey are an important genetic resource for wheat improvement. An exhaustive 5-year (2009-2014) effort made by the International Winter Wheat Improvement Programme (IWWIP), a cooperative program between the Ministry of Food, Agriculture and Livestock of Turkey, the International Center for Maize and Wheat Improvement (CIMMYT) and the International Center for Agricultural Research in the Dry Areas (ICARDA), led to the collection and documentation of around 2000 landrace populations from 55 provinces throughout Turkey...
2016: Frontiers in Genetics
https://www.readbyqxmd.com/read/27915291/the-landscape-of-microbial-phenotypic-traits-and-associated-genes
#15
Maria Brbić, Matija Piškorec, Vedrana Vidulin, Anita Kriško, Tomislav Šmuc, Fran Supek
Bacteria and Archaea display a variety of phenotypic traits and can adapt to diverse ecological niches. However, systematic annotation of prokaryotic phenotypes is lacking. We have therefore developed ProTraits, a resource containing ∼545 000 novel phenotype inferences, spanning 424 traits assigned to 3046 bacterial and archaeal species. These annotations were assigned by a computational pipeline that associates microbes with phenotypes by text-mining the scientific literature and the broader World Wide Web, while also being able to define novel concepts from unstructured text...
December 1, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/27911439/evidence-for-a-role-of-viruses-in-the-thermal-sensitivity-of-coral-photosymbionts
#16
Rachel Ashley Levin, Christian Robert Voolstra, Karen Dawn Weynberg, Madeleine Josephine Henriette van Oppen
Symbiodinium, the dinoflagellate photosymbiont of corals, is posited to become more susceptible to viral infections when heat-stressed. To investigate this hypothesis, we mined transcriptome data of a thermosensitive and a thermotolerant type C1 Symbiodinium population at ambient (27 °C) and elevated (32°C) temperatures. We uncovered hundreds of transcripts from nucleocytoplasmic large double-stranded DNA viruses (NCLDVs) and the genome of a novel positive-sense single-stranded RNA virus (+ssRNAV). In the transcriptome of the thermosensitive population only, +ssRNAV transcripts had remarkable expression levels in the top 0...
December 2, 2016: ISME Journal
https://www.readbyqxmd.com/read/27905614/methanobactins-from-genome-to-function
#17
Laura M K Dassama, Grace E Kenney, Amy C Rosenzweig
Methanobactins (Mbns) are ribosomally produced, post-translationally modified peptide (RiPP) natural products that bind copper with high affinity using nitrogen-containing heterocycles and thioamide groups. In some methanotrophic bacteria, Mbns are secreted under conditions of copper starvation and then re-internalized as a copper source for the enzyme particulate methane monooxygenase (pMMO). Genome mining studies have led to the identification and classification of operons encoding the Mbn precursor peptide (MbnA) as well as a number of putative transport, regulatory, and biosynthetic proteins...
December 1, 2016: Metallomics: Integrated Biometal Science
https://www.readbyqxmd.com/read/27904885/a-novel-protective-vaccine-antigen-from-the-core-escherichia-coli-genome
#18
Danilo G Moriel, Lendl Tan, Kelvin G K Goh, Minh-Duy Phan, Deepak S Ipe, Alvin W Lo, Kate M Peters, Glen C Ulett, Scott A Beatson, Mark A Schembri
Escherichia coli is a versatile pathogen capable of causing intestinal and extraintestinal infections that result in a huge burden of global human disease. The diversity of E. coli is reflected by its multiple different pathotypes and mosaic genome composition. E. coli strains are also a major driver of antibiotic resistance, emphasizing the urgent need for new treatment and prevention measures. Here, we used a large data set comprising 1,700 draft and complete genomes to define the core and accessory genome of E...
November 2016: MSphere
https://www.readbyqxmd.com/read/27903973/association-of-a-cytarabine-chemosensitivity-related-gene-expression-signature-with-survival-in-cytogenetically-normal-acute-myeloid-leukemia
#19
Han Yan, Lu Wen, Dan Tan, Pan Xie, Feng-Mei Pang, Hong-Hao Zhou, Wei Zhang, Zhao-Qian Liu, Jie Tang, Xi Li, Xiao-Ping Chen
The prognosis of cytogenetically normal acute myeloid leukemia (CN-AML) varies greatly among patients. Achievement of complete remission (CR) after chemotherapy is indispensable for a better prognosis. To develop a gene signature predicting overall survival (OS) in CN-AML, we performed data mining procedure based on whole genome expression data of both blood cancer cell lines and AML patients from open access database. A gene expression signature including 42 probes was derived. These probes were significantly associated with both cytarabine half maximal inhibitory concentration values in blood cancer cell lines and OS in CN-AML patients...
November 26, 2016: Oncotarget
https://www.readbyqxmd.com/read/27903959/genome-wide-haplotype-association-study-identify-the-fgfr2-gene-as-a-risk-gene-for-acute-myeloid-leukemia
#20
Hongchao Lv, Mingming Zhang, Zhenwei Shang, Jin Li, Shanshan Zhang, Duan Lian, Ruijie Zhang
Acute myeloid leukemia (AML) is a cancer of the myeloid line of blood cells, and generally considered to be caused by environment and genetic factors. In this study, we combined a genome-wide haplotype association study (GWHAS) and gene prioritization strategy to mine AML-related genetic affect factors and understand its pathogenesis. A total of 175 AML patients were downloaded from the public GEO database (GSE32462) and 218 matched Caucasian controls were from the HapMap Project. We first identified the linkage disequilibrium (LD) blocks and performed a GWHAS to scan AML-related haplotypes...
November 26, 2016: Oncotarget
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