Meaningful biological

Ebook "11th International conference on practical applications of computational biology & bioinformatics" research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next-generation sequencing technologies, together with novel and constantly evolving, distinct types of omics data technologies, have created an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology.

345p lucchinguyen 28-12-2023 3 2   Download

Despite the success of genome-wide association studies (GWAS), there still remains “missing heritability” for many traits. One contributing factor may be the result of examining one marker at a time as opposed to a group of markers that are biologically meaningful in aggregate.

9p vinarcissa 21-03-2023 2 1   Download

Genetic screens have been the lifeblood of forward genetics. They have enabled widespread discoveries of gene function, leading to meaningful advances in medicine, biotechnology, and agriculture. Nevertheless, technologies for performing these screens have been limited by scale, specificity, and targeting range of tools for investigating and perturbing the genome.

4p vimichaelfaraday 25-03-2022 11 1   Download

With the expanding applications of mass cytometry in medical research, a wide variety of clustering methods, both semi-supervised and unsupervised, have been developed for data analysis. Selecting the optimal clustering method can accelerate the identification of meaningful cell populations.

18p vielonmusk 30-01-2022 43 0   Download

The identification of causal genes from genome-wide association studies (GWAS) is the next important step for the translation of genetic findings into biologically meaningful mechanisms of disease and potential therapeutic targets.

15p viaristotle 29-01-2022 7 0   Download

The ability to discover new cell phenotypes by unsupervised clustering of single-cell transcriptomes has revolutionized biology. Currently, there is no principled way to decide whether a cluster of cells contains meaningful subpopulations that should be further resolved.

24p viarchimedes 26-01-2022 12 0   Download

Statistical analyses of whole genome expression data require functional information about genes in order to yield meaningful biological conclusions. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) are common sources of functionally grouped gene sets.

12p viwyoming2711 16-12-2020 10 0   Download

Time course data from microarrays and high-throughput sequencing experiments require simple, computationally efficient and powerful statistical models to extract meaningful biological signal, and for tasks such as data fusion and clustering.

12p viwyoming2711 16-12-2020 7 0   Download

Whole-genome bisulfite sequencing currently provides the highest-precision view of the epigenome, with quantitative information about populations of cells down to single nucleotide resolution. Several studies have demonstrated the value of this precision: meaningful features that correlate strongly with biological functions can be found associated with only a few CpG sites.

8p vikentucky2711 26-11-2020 9 0   Download

Handling the vast amount of gene expression data generated by genome-wide transcriptional profiling techniques is a challenging task, demanding an informed combination of pre-processing, filtering and analysis methods if meaningful biological conclusions are to be drawn.

10p vikentucky2711 26-11-2020 13 3   Download

Metagenomics, the sequencing of DNA collected from an entire microbial community, enables the study of natural microbial consortia in their native habitats. Metagenomics studies produce huge volumes of data, including both the sequences themselves and metadata describing their abundance, assembly, predicted functional characteristics and environmental parameters.

8p vikentucky2711 24-11-2020 9 2   Download

Direct volume rendering is one of flexible and effective approaches to inspect large volumetric data such as medical and biological images. In conventional volume rendering, it is often time consuming to set up a meaningful illumination environment.

17p vioklahoma2711 19-11-2020 9 1   Download

Gene set testing, or pathway analysis, is a bioinformatics technique that performs statistical testing on biologically meaningful sets of genomic variables. Although originally developed for supervised analyses, i.e., to test the association between gene sets and an outcome variable, gene set testing also has important unsupervised applications, e.g., p-value weighting.

16p vioklahoma2711 19-11-2020 13 1   Download

The notion of centrality is used to identify “important” nodes in social networks. Importance of nodes is not well-defined, and many different notions exist in the literature. The challenge of defining centrality in meaningful ways when network edges can be positively or negatively weighted has not been adequately addressed in the literature.

10p viflorida2711 30-10-2020 9 2   Download

Gene Ontology enrichment analysis provides an effective way to extract meaningful information from complex biological datasets. By identifying terms that are significantly overrepresented in a gene set, researchers can uncover biological features shared by genes. In addition to extracting enriched terms, it is also important to visualize the results in a way that is conducive to biological interpretation.

8p vijisoo2711 27-10-2020 12 1   Download

Application of path analysis for causal modeling has been widely used in many areas of studies, such as in social science, education, biology, medical, sociology, and economics. In this study, path analysis is applied to test a relationship model among variables: Foreign direct investment (FDI), industry growth (IND), energy use (ENR), and carbon dioxide (CO2 ) emissions. Aims of this study are to know whether there exist direct effect of FDI to IND, direct effect of FDI and IND to ENR, and direct effect of IND and ENR to CO2 emissions.

7p partimesinhvien 13-05-2020 13 1   Download

This paper proposed the cancer identification methods and evaluated them based on the computation time, classification accuracy and ability to reveal biologically meaningful gene information. This paper highlights the cancer gene identification using the Modified Fuzzy C-Means algorithm that is used efficiently in this work and examined with better results.

7p hongnhan878 12-04-2019 22 0   Download

This book synthesizes current research in the integration of computational intelligence and pattern analysis techniques, either individually or in a hybridized manner. The purpose is to analyze biological data and enable extraction of more meaningful information and insight from it. Biological data for analysis include sequence data, secondary and tertiary structure data, and microarray data.

395p titatu_123 01-03-2013 60 9   Download

This book began its evolution in 1999 when the British Antarctic Survey, where I worked at the time, began a new research programme on the management of marine ecosystems. This programme concentrated upon the krill-based ecosystem at SouthGeorgia which has been the subject of almost continuous study since the Discovery Expeditions in the 1920s. Latterly, international efforts to understand the dynamics of this ecosystem and the wider Southern Ocean have been coordinated by the Commission for the Conservation of AntarcticMarine Living Resources (CCAMLR)....

394p phoebe75 01-02-2013 59 8   Download

In defining a new paradigm it is difficult to know where to begin. How do you take fifteen years of medical practice in pathology and ten years of clinical observation utilizing the theories of traditional Chinese medicine, acupuncture, homeopathy, and therapeutic nutrition and meld them into a model of biological understanding and medical practice? The answer is actually quite simple — start from the beginning and build a convincing model based upon sound physics, physiology, pathology, and clinical medicine and see if the model fits the expected outcome.

377p cronus75 18-01-2013 71 10   Download