Search Results - "BMC genomics"

Refine Results
  1. 1

    The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation by Chicco, Davide, Jurman, Giuseppe

    Published in BMC genomics (02-01-2020)
    “…To evaluate binary classifications and their confusion matrices, scientific researchers can employ several statistical rates, accordingly to the goal of the…”
    Get full text
    Journal Article
  2. 2

    Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics by Street, Kelly, Risso, Davide, Fletcher, Russell B, Das, Diya, Ngai, John, Yosef, Nir, Purdom, Elizabeth, Dudoit, Sandrine

    Published in BMC genomics (19-06-2018)
    “…Single-cell transcriptomics allows researchers to investigate complex communities of heterogeneous cells. It can be applied to stem cells and their descendants…”
    Get full text
    Journal Article
  3. 3

    Genome-wide investigation of WRKY gene family in pineapple: evolution and expression profiles during development and stress by Xie, Tao, Chen, Chengjie, Li, Chuhao, Liu, Jiarou, Liu, Chaoyang, He, Yehua

    Published in BMC genomics (25-06-2018)
    “…WRKY proteins comprise a large family of transcription factors that play important roles in many aspects of physiological processes and adaption to…”
    Get full text
    Journal Article
  4. 4

    Co-occurrence of resistance genes to antibiotics, biocides and metals reveals novel insights into their co-selection potential by Pal, Chandan, Bengtsson-Palme, Johan, Kristiansson, Erik, Larsson, D G Joakim

    Published in BMC genomics (17-11-2015)
    “…Antibacterial biocides and metals can co-select for antibiotic resistance when bacteria harbour resistance or tolerance genes towards both types of compounds…”
    Get full text
    Journal Article
  5. 5

    Guidance for DNA methylation studies: statistical insights from the Illumina EPIC array by Mansell, Georgina, Gorrie-Stone, Tyler J, Bao, Yanchun, Kumari, Meena, Schalkwyk, Leonard S, Mill, Jonathan, Hannon, Eilis

    Published in BMC genomics (14-05-2019)
    “…There has been a steady increase in the number of studies aiming to identify DNA methylation differences associated with complex phenotypes. Many of the…”
    Get full text
    Journal Article
  6. 6

    How to study runs of homozygosity using PLINK? A guide for analyzing medium density SNP data in livestock and pet species by Meyermans, R, Gorssen, W, Buys, N, Janssens, S

    Published in BMC genomics (29-01-2020)
    “…PLINK is probably the most used program for analyzing SNP genotypes and runs of homozygosity (ROH), both in human and in animal populations. The last decade,…”
    Get full text
    Journal Article
  7. 7

    A review of deep learning applications for genomic selection by Montesinos-López, Osval Antonio, Montesinos-López, Abelardo, Pérez-Rodríguez, Paulino, Barrón-López, José Alberto, Martini, Johannes W R, Fajardo-Flores, Silvia Berenice, Gaytan-Lugo, Laura S, Santana-Mancilla, Pedro C, Crossa, José

    Published in BMC genomics (06-01-2021)
    “…Several conventional genomic Bayesian (or no Bayesian) prediction methods have been proposed including the standard additive genetic effect model for which the…”
    Get full text
    Journal Article
  8. 8
  9. 9
  10. 10

    A reference genome for Nicotiana tabacum enables map-based cloning of homeologous loci implicated in nitrogen utilization efficiency by Edwards, K D, Fernandez-Pozo, N, Drake-Stowe, K, Humphry, M, Evans, A D, Bombarely, A, Allen, F, Hurst, R, White, B, Kernodle, S P, Bromley, J R, Sanchez-Tamburrino, J P, Lewis, R S, Mueller, L A

    Published in BMC genomics (19-06-2017)
    “…Tobacco (Nicotiana tabacum) is an important plant model system that has played a key role in the early development of molecular plant biology. The tobacco…”
    Get full text
    Journal Article
  11. 11

    Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks by Pan, Xiaoyong, Rijnbeek, Peter, Yan, Junchi, Shen, Hong-Bin

    Published in BMC genomics (03-07-2018)
    “…RNA regulation is significantly dependent on its binding protein partner, known as the RNA-binding proteins (RBPs). Unfortunately, the binding preferences for…”
    Get full text
    Journal Article
  12. 12

    SILVA, RDP, Greengenes, NCBI and OTT - how do these taxonomies compare? by Balvočiūtė, Monika, Huson, Daniel H

    Published in BMC genomics (14-03-2017)
    “…A key step in microbiome sequencing analysis is read assignment to taxonomic units. This is often performed using one of four taxonomic classifications, namely…”
    Get full text
    Journal Article
  13. 13

    A new approach for efficient genotype imputation using information from relatives by Sargolzaei, Mehdi, Chesnais, Jacques P, Schenkel, Flavio S

    Published in BMC genomics (17-06-2014)
    “…Genotype imputation can help reduce genotyping costs particularly for implementation of genomic selection. In applications entailing large populations,…”
    Get full text
    Journal Article
  14. 14

    Seamless integration of image and molecular analysis for spatial transcriptomics workflows by Bergenstråhle, Joseph, Larsson, Ludvig, Lundeberg, Joakim

    Published in BMC genomics (14-07-2020)
    “…Recent advancements in in situ gene expression technologies constitute a new and rapidly evolving field of transcriptomics. With the recent launch of the 10x…”
    Get full text
    Journal Article
  15. 15

    ngs.plot: Quick mining and visualization of next-generation sequencing data by integrating genomic databases by Shen, Li, Shao, Ningyi, Liu, Xiaochuan, Nestler, Eric

    Published in BMC genomics (15-04-2014)
    “…Understanding the relationship between the millions of functional DNA elements and their protein regulators, and how they work in conjunction to manifest…”
    Get full text
    Journal Article
  16. 16

    SigProfilerMatrixGenerator: a tool for visualizing and exploring patterns of small mutational events by Bergstrom, Erik N, Huang, Mi Ni, Mahto, Uma, Barnes, Mark, Stratton, Michael R, Rozen, Steven G, Alexandrov, Ludmil B

    Published in BMC genomics (30-08-2019)
    “…Cancer genomes are peppered with somatic mutations imprinted by different mutational processes. The mutational pattern of a cancer genome can be used to…”
    Get full text
    Journal Article
  17. 17

    Better prediction of functional effects for sequence variants by Hecht, Maximilian, Bromberg, Yana, Rost, Burkhard

    Published in BMC genomics (18-06-2015)
    “…Elucidating the effects of naturally occurring genetic variation is one of the major challenges for personalized health and personalized medicine. Here, we…”
    Get full text
    Journal Article
  18. 18

    CLARK: fast and accurate classification of metagenomic and genomic sequences using discriminative k-mers by Ounit, Rachid, Wanamaker, Steve, Close, Timothy J, Lonardi, Stefano

    Published in BMC genomics (25-03-2015)
    “…The problem of supervised DNA sequence classification arises in several fields of computational molecular biology. Although this problem has been extensively…”
    Get full text
    Journal Article
  19. 19

    TreeShrink: fast and accurate detection of outlier long branches in collections of phylogenetic trees by Mai, Uyen, Mirarab, Siavash

    Published in BMC genomics (08-05-2018)
    “…Sequence data used in reconstructing phylogenetic trees may include various sources of error. Typically errors are detected at the sequence level, but when…”
    Get full text
    Journal Article
  20. 20

    HiFiAdapterFilt, a memory efficient read processing pipeline, prevents occurrence of adapter sequence in PacBio HiFi reads and their negative impacts on genome assembly by Sim, Sheina B, Corpuz, Renee L, Simmonds, Tyler J, Geib, Scott M

    Published in BMC genomics (22-02-2022)
    “…Pacific Biosciences HiFi read technology is currently the industry standard for high accuracy long-read sequencing that has been widely adopted by large…”
    Get full text
    Journal Article