Logo

BMC Bioinformatics

 http://www.biomedcentral.com/

  • By BMC Bioinformatics   -   Sep 26, 2020

    A WEB-BASED SYSTEM FOR CREATING, VIEWING, AND EDITING PRECURSOR MASS SPECTROMETRY GROUND TRUTH DATA

    Mass spectrometry uses mass-to-charge ratios of measured particles to decode the identities and quantities of molecules in a sample....

    Software
  • By BMC Bioinformatics   -   Sep 26, 2020

    DPDDI: A DEEP PREDICTOR FOR DRUG-DRUG INTERACTIONS

    The treatment of complex diseases by taking multiple drugs becomes increasingly popular. However, drug-drug interactions may give rise...

    Drugs, Drug, Methodology article
  • By BMC Bioinformatics   -   Sep 24, 2020

    THEORETICAL CHARACTERISATION OF STRAND CROSS-CORRELATION IN CHIP-SEQ

    Strand cross-correlation profiles are used for both peak calling pre-analysis and quality control in chromatin immunoprecipitation...

    Research article
  • By BMC Bioinformatics   -   Sep 22, 2020

    KEEPING UP WITH THE GENOMES: EFFICIENT LEARNING OF OUR INCREASING KNOWLEDGE OF THE TREE OF LIFE

    It is a computational challenge for current metagenomic classifiers to keep up with the pace of training data generated from genome...

    Computers, Genomics, Genome, Research article
  • By BMC Bioinformatics   -   Sep 22, 2020

    AN EMBEDDED GENE SELECTION METHOD USING KNOCKOFFS OPTIMIZING NEURAL NETWORK

    Gene selection refers to find a small subset of discriminant genes from the gene expression profiles. How to select genes that affect...

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

    SAPPHIRE: A NEURAL NETWORK BASED CLASSIFIER FOR Σ70 PROMOTER PREDICTION IN PSEUDOMONAS

    In silico promoter prediction represents an important challenge in bioinformatics as it provides a first-line approach to identifying...

    Bioinformatic, Bioinformatics, Software
  • By BMC Bioinformatics   -   Sep 22, 2020

    MAPGL: INFERRING EVOLUTIONARY GAIN AND LOSS OF SHORT GENOMIC SEQUENCE FEATURES BY PHYLOGENETIC MAXIMUM PARSIMONY

    Comparative genomics studies are growing in number partly because of their unique ability to provide insight into shared and divergent...

    Genomics, Biological, Genome, Biology, Biologic, Software
  • By BMC Bioinformatics   -   Sep 18, 2020

    PREDICTION OF HOT SPOTS IN PROTEIN-DNA BINDING INTERFACES BASED ON SUPERVISED ISOMETRIC FEATURE MAPPING AND EXTREME GRADIENT BOOSTING

    Identification of hot spots in protein-DNA interfaces provides crucial information for the research on protein-DNA interaction and...

    Research, Protein, Drugs, DNA, Drug, Methodology
  • By BMC Bioinformatics   -   Sep 18, 2020

    NEDD: A NETWORK EMBEDDING BASED METHOD FOR PREDICTING DRUG-DISEASE ASSOCIATIONS

    Drug discovery is known for the large amount of money and time it consumes and the high risk it takes. Drug repositioning has, therefore,...

    Drug, Discovery, Drugs, Methodology
  • By BMC Bioinformatics   -   Sep 18, 2020

    MULTI-OMICS PROFILING REVEALS MICRORNA-MEDIATED INSULIN SIGNALING NETWORKS

    MicroRNAs play a key role in mediating the action of insulin on cell growth and the development of diabetes. However, few studies have...

    Research
  • By BMC Bioinformatics   -   Sep 18, 2020

    A LEARNING-BASED METHOD FOR DRUG-TARGET INTERACTION PREDICTION BASED ON FEATURE REPRESENTATION LEARNING AND DEEP NEURAL NETWORK

    Drug-target interaction prediction is of great significance for narrowing down the scope of candidate medications, and thus is a vital...

    Biochemical, Discovery, Drug, Drugs, Research
  • By BMC Bioinformatics   -   Sep 18, 2020

    PAWER: PROTEIN ARRAY WEB EXPLORER

    Protein microarray is a well-established approach for characterizing activity levels of thousands of proteins in a parallel manner....

    Protein, Software
  • By BMC Bioinformatics   -   Sep 17, 2020

    AN IMPROVEMENT OF COMIR ALGORITHM FOR MICRORNA TARGET PREDICTION BY EXPLOITING CODING REGION SEQUENCES OF MRNAS

    MicroRNA are small non-coding RNAs that post-transcriptionally regulate the expression levels of messenger RNAs. MicroRNA regulation...

    Research
  • By BMC Bioinformatics   -   Sep 17, 2020

    A PRELIMINARY PET RADIOMICS STUDY OF BRAIN METASTASES USING A FULLY AUTOMATIC SEGMENTATION METHOD

    Positron Emission Tomography is increasingly utilized in radiomics studies for treatment evaluation purposes. Nevertheless, lesion...

    Brain, Research
  • By BMC Bioinformatics   -   Sep 17, 2020

    BITS2019: THE SIXTEENTH ANNUAL MEETING OF THE ITALIAN SOCIETY OF BIOINFORMATICS

    The 16th Annual Meeting of the Bioinformatics Italian Society was held in Palermo, Italy, on June 26-28, 2019. More than 80 scientific...

    Bioinformatic, Bioinformatics, Introduction
  • By BMC Bioinformatics   -   Sep 17, 2020

    CORRECTION TO: FASTMM: AN EFFICIENT TOOLBOX FOR PERSONALIZED CONSTRAINT-BASED METABOLIC MODELING

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

    Paper, Correction
  • By BMC Bioinformatics   -   Sep 17, 2020

    MEIRLOP: IMPROVING SCORE-BASED MOTIF ENRICHMENT BY INCORPORATING SEQUENCE BIAS COVARIATES

    Motif enrichment analysis identifies over-represented transcription factor binding motifs in the DNA sequence of regulatory regions,...

    Research, DNA, Software
  • By BMC Bioinformatics   -   Sep 16, 2020

    ADEPT: A DOMAIN INDEPENDENT SEQUENCE ALIGNMENT STRATEGY FOR GPU ARCHITECTURES

    Bioinformatic workflows frequently make use of automated genome assembly and protein clustering tools. At the core of most of these...

    Protein, Genome, Bioinformatics, Bioinformatic, Genomics, Software
  • By BMC Bioinformatics   -   Sep 16, 2020

    SEAGULL: LASSO, GROUP LASSO AND SPARSE-GROUP LASSO REGULARIZATION FOR LINEAR REGRESSION MODELS VIA PROXIMAL GRADIENT DESCENT

    Statistical analyses of biological problems in life sciences often lead to high-dimensional linear models. To solve the corresponding...

    Biology, Biologic, Biological, Life Sciences, Science, Software
  • By BMC Bioinformatics   -   Sep 15, 2020

    LIMIT CYCLES IN MODELS OF CIRCULAR GENE NETWORKS REGULATED BY NEGATIVE FEEDBACK LOOPS

    The regulatory feedback loops that present in structural and functional organization of molecular-genetic systems and the phenomenon...

    Genetics, Genes, Gene, Research