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BMC Bioinformatics

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  • By BMC Bioinformatics   -   Oct 26, 2020

    2-D CHEMICAL STRUCTURE IMAGE-BASED IN SILICO MODEL TO PREDICT AGONIST ACTIVITY FOR ANDROGEN RECEPTOR

    Abnormal activation of human nuclear hormone receptors disrupts endocrine systems and thereby affects human health. There have been...

    Human health, Chemicals, Health, Chemical, Research
  • By BMC Bioinformatics   -   Oct 26, 2020

    LITERATURE MINING FOR CONTEXT-SPECIFIC MOLECULAR RELATIONS USING MULTIMODAL REPRESENTATIONS

    Biological contextual information helps understand various phenomena occurring in the biological systems consisting of complex molecular...

    Biological, Biology, Biologic, Research
  • By BMC Bioinformatics   -   Oct 26, 2020

    LITERATURE BASED DISCOVERY OF ALTERNATIVE TCM MEDICINE FOR ADVERSE REACTIONS TO DEPRESSION DRUGS

    In recent years, Traditional Chinese Medicine and alternative medicine have been widely used along with western drugs as a complementary...

    Discovery, Drug, Medicine, Drugs, Research
  • By BMC Bioinformatics   -   Oct 26, 2020

    CORRECTION TO: DEEP USER IDENTIFICATION MODEL WITH MULTIPLE BIOMETRIC DATA

    An amendment to this paper has been published and can be accessed via the original article.

    Paper, Correction
  • By BMC Bioinformatics   -   Oct 26, 2020

    A RANK-BASED MARKER SELECTION METHOD FOR HIGH THROUGHPUT SCRNA-SEQ DATA

    High throughput microfluidic protocols in single cell RNA sequencing collect mRNA counts from up to one million individual cells in...

    RNA, Methodology article
  • By BMC Bioinformatics   -   Oct 26, 2020

    CALCULATING THE MOST LIKELY INTRON SPLICING ORDERS IN S. POMBE, FRUIT FLY, ARABIDOPSIS THALIANA, AND HUMANS

    Introns have been shown to be spliced in a defined order, and this order influences both alternative splicing regulation and splicing...

    Methodology article
  • By BMC Bioinformatics   -   Oct 23, 2020

    NIMBUS: A NEGATIVE BINOMIAL REGRESSION BASED INTEGRATIVE METHOD FOR MUTATION BURDEN ANALYSIS

    Identifying frequently mutated regions is a key approach to discover DNA elements influencing cancer progression. However, it is challenging...

    DNA, Cancer, Methodology article
  • By BMC Bioinformatics   -   Oct 23, 2020

    NCMHAP: A NOVEL METHOD FOR HAPLOTYPE RECONSTRUCTION BASED ON NEUTROSOPHIC C-MEANS CLUSTERING

    Single individual haplotype problem refers to reconstructing haplotypes of an individual based on several input fragments sequenced...

    Chromosomes, Methodology article
  • By BMC Bioinformatics   -   Oct 23, 2020

    PYGNA: A UNIFIED FRAMEWORK FOR GENESET NETWORK ANALYSIS

    Gene and protein interaction experiments provide unique opportunities to study the molecular wiring of a cell. Integrating high-throughput...

    Protein, Gene, Genomics, Genes, Genome, Software
  • By BMC Bioinformatics   -   Oct 22, 2020

    DIFFERENTIAL GENE REGULATORY PATTERN IN THE HUMAN BRAIN FROM SCHIZOPHRENIA USING TRANSCRIPTOMIC-CAUSAL NETWORK

    Common and complex traits are the consequence of the interaction and regulation of multiple genes simultaneously, therefore characterizing...

    Brain, Gene, Genes, Research article
  • By BMC Bioinformatics   -   Oct 22, 2020

    PREDICTING MIRNA-DISEASE ASSOCIATIONS BY MULTIPLE META-PATHS FUSION GRAPH EMBEDDING MODEL

    Many studies prove that miRNAs have significant roles in diagnosing and treating complex human diseases. However, conventional biological...

    Biological, Biology, Biologic, Methodology article
  • By BMC Bioinformatics   -   Oct 22, 2020

    METALAFFA: A FLEXIBLE, END-TO-END, DISTRIBUTED COMPUTING-COMPATIBLE METAGENOMIC FUNCTIONAL ANNOTATION PIPELINE

    Microbial communities have become an important subject of research across multiple disciplines in recent years. These communities are...

    Research, Computers, Software
  • By BMC Bioinformatics   -   Oct 22, 2020

    USING OPTIMAL CONTROL TO UNDERSTAND COMPLEX METABOLIC PATHWAYS

    Optimality principles have been used to explain the structure and behavior of living matter at different levels of organization, from...

    Methodology article
  • By BMC Bioinformatics   -   Oct 22, 2020

    A METHOD FOR ESTIMATING COHERENCE OF MOLECULAR MECHANISMS IN MAJOR HUMAN DISEASE AND TRAITS

    Phenotypes such as height and intelligence, are thought to be a product of the collective effects of multiple phenotype-associated...

    Gene, Protein, Genes, Methodology article
  • By BMC Bioinformatics   -   Oct 21, 2020

    CANCER PROGNOSIS PREDICTION USING SOMATIC POINT MUTATION AND COPY NUMBER VARIATION DATA: A COMPARISON OF GENE-LEVEL AND PATHWAY-BASED MODELS

    Genomic profiling of solid human tumors by projects such as The Cancer Genome Atlas has provided important information regarding the...

    Genome, Cancer, Genomics, Gene, Genes, Methodology article
  • By BMC Bioinformatics   -   Oct 21, 2020

    CDKAM: A TAXONOMIC CLASSIFICATION TOOL USING DISCRIMINATIVE K-MERS AND APPROXIMATE MATCHING STRATEGIES

    Current taxonomic classification tools use exact string matching algorithms that are effective to tackle the data from the next generation...

    Software
  • By BMC Bioinformatics   -   Oct 20, 2020

    REPAHR: AN IMPROVED APPROACH FOR DE NOVO REPEAT IDENTIFICATION BY ASSEMBLY OF THE HIGH-FREQUENCY READS

    Repetitive sequences account for a large proportion of eukaryotes genomes. Identification of repetitive sequences plays a significant...

    Genome, Genomics, Methodology article
  • By BMC Bioinformatics   -   Oct 20, 2020

    SEARCH AND COMPARISON OF GENOMIC FEATURE PATTERNS IN MULTIPLE GENOME BROWSER TRACKS

    Genome browsers are widely used for locating interesting genomic regions, but their interactive use is obviously limited to inspecting...

    Genome, Genomics, Software
  • By BMC Bioinformatics   -   Oct 20, 2020

    OPOSSOM-BROWSER: AN INTERACTIVE TOOL TO EXPLORE OMICS DATA LANDSCAPES IN HEALTH SCIENCE

    OposSOM is a comprehensive, machine learning based open-source data analysis software combining functionalities such as diversity analyses,...

    Health, Science, Software
  • By BMC Bioinformatics   -   Oct 20, 2020

    IMPLEMENTATION OF HOMOLOGY BASED AND NON-HOMOLOGY BASED COMPUTATIONAL METHODS FOR THE IDENTIFICATION AND ANNOTATION OF ORPHAN ENZYMES: USING MYCOBACTERIUM TUBERCULOSIS H37RV AS A CASE STUDY

    Homology based methods are one of the most important and widely used approaches for functional annotation of high-throughput microbial...

    Genome, Computers, Enzymes, Genomics, Research article