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  1. 1641
    “…Although this method has been validated for Drosophila embryos, we provide an interactive window for biologists to easily extend its application to other nuclear markers and other sample types. …”
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    DeadEasy Mito-Glia: Automatic Counting of Mitotic Cells and Glial Cells in Drosophila
  2. 1642
    “…In order to enable non-programming biologists to benefit from the method development in a timely manner, we have created the Chipster software. …”
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    Online Artículo Texto
    Chipster: user-friendly analysis software for microarray and other high-throughput data
  3. 1643
    “…The advent of next generation sequencing (NGS) technologies have revolutionised the way biologists produce, analyse and interpret data. Although NGS platforms provide a cost-effective way to discover genome-wide variants from a single experiment, variants discovered by NGS need follow up validation due to the high error rates associated with various sequencing chemistries. …”
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    Customisation of the Exome Data Analysis Pipeline Using a Combinatorial Approach
  4. 1644
    “…CONCLUSIONS: PhiSiGns provides phage biologists with a user-friendly tool to identify signature genes and design PCR primers to amplify related genes from uncultured phages in environmental samples. …”
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    PhiSiGns: an online tool to identify signature genes in phages and design PCR primers for examining phage diversity
  5. 1645
    “…Such tools should allow biologists to upload genomic data for their own analysis. …”
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    A web-based multi-genome synteny viewer for customized data
  6. 1646
    “…After installation, BioWord will open as a tab in the Office ribbon. Biologists can then easily manipulate DNA and protein sequences using a familiar interface and minimize the need to switch between applications. …”
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    BioWord: A sequence manipulation suite for Microsoft Word
  7. 1647
    “…BACKGROUND: Gene clustering algorithms are massively used by biologists when analysing omics data. Classical gene clustering strategies are based on the use of expression data only, directly as in Heatmaps, or indirectly as in clustering based on coexpression networks for instance. …”
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    A new unsupervised gene clustering algorithm based on the integration of biological knowledge into expression data
  8. 1648
    “…P2RP results can then be outputted in user-specified formats. CONCLUSION: Biologists have an increasing need for fast and intuitively usable tools, which is why P2RP has been developed as an interactive system. …”
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    P2RP: a web-based framework for the identification and analysis of regulatory proteins in prokaryotic genomes
  9. 1649
    “…Consequently, although appealing, the construction and analyses of these networks remain less familiar to biologists than do phylogenetic approaches. RESULTS: In order to ease the use of similarity networks in the community of evolutionary biologists, we introduce a software program, EGN, that runs under Linux or MacOSX. …”
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    EGN: a wizard for construction of gene and genome similarity networks
  10. 1650
    “…BACKGROUND: Millions of cells are present in thousands of images created in high-throughput screening (HTS). Biologists could classify each of these cells into a phenotype by visual inspection. …”
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    A comparative study of cell classifiers for image-based high-throughput screening
  11. 1651
    por May, Michael R., Moore, Brian R.
    Publicado 2016
    “…Evolutionary biologists have long been fascinated by the extreme differences in species numbers across branches of the Tree of Life. …”
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    How Well Can We Detect Lineage-Specific Diversification-Rate Shifts? A Simulation Study of Sequential AIC Methods
  12. 1652
    “…We have all been there, and that is why we organized the Matchmaking for Computational and Experimental Biologists Session at the latest ISCB/GLBIO’2017 meeting in Chicago (May 15-17, 2017). …”
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    Matchmaking in Bioinformatics
  13. 1653
    por Havstad, Joyce C, Smith, N Adam
    Publicado 2019
    “…The last half century of paleornithological research has transformed the way that biologists perceive the evolutionary history of birds. …”
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    Fossils with Feathers and Philosophy of Science
  14. 1654
    “…These annotations can be modified and shared by multiple users to allow easy collaboration between computational scientists and experimental biologists. Data processing and analytic workflows can be integrated into the system using Jupyter notebooks. …”
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    Single Cell Explorer, collaboration-driven tools to leverage large-scale single cell RNA-seq data
  15. 1655
    “…Analyzing the rhythm of animals’ acoustic signals is of interest to a growing number of researchers: evolutionary biologists want to disentangle how these structures evolved and what patterns can be found, and ecologists and conservation biologists aim to discriminate cryptic species on the basis of parameters of acoustic signals such as temporal structures. …”
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    Comparison of methods for rhythm analysis of complex animals’ acoustic signals
  16. 1656
    “…Despite the growing availability of sophisticated bioinformatic methods for the analysis of single-cell RNA-seq data, few tools exist that allow biologists without extensive bioinformatic expertise to directly visualize and interact with their own data and results. …”
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    Cerebro: interactive visualization of scRNA-seq data
  17. 1657
    “…A closer interaction between neuro and senescent cell biologists has potential to advance both disciplines and explain fundamental questions that have plagued their fields for decades.…”
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    The Cellular Senescence Stress Response in Post-Mitotic Brain Cells: Cell Survival at the Expense of Tissue Degeneration
  18. 1658
    “…SysMod’s main activity is an annual meeting at the Intelligent Systems for Molecular Biology (ISMB) conference, which brings together computer scientists, biologists, mathematicians, engineers, computational and systems biologists. …”
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    SysMod: the ISCB community for data-driven computational modelling and multi-scale analysis of biological systems
  19. 1659
    “…We present a methodology that is specifically tailored to biologists and clinicians as they are the main producers of such datasets. …”
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    Bayesian networks elucidate complex genomic landscapes in cancer
  20. 1660
    “…A major achievement of ENLIGHT has been the blending of traditionally separate communities so that clinicians, physicists, biologists and engineers with experience and interest in particle therapy are working together.…”
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    ENLIGHT Network
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