[HTML][HTML] Bioinformatics strategies for taxonomy independent binning and visualization of sequences in shotgun metagenomics

K Sedlar, K Kupkova, I Provaznik - Computational and structural …, 2017 - Elsevier
One of main steps in a study of microbial communities is resolving their composition,
diversity and function. In the past, these issues were mostly addressed by the use of …

MaxBin: an automated binning method to recover individual genomes from metagenomes using an expectation-maximization algorithm

YW Wu, YH Tang, SG Tringe, BA Simmons, SW Singer - Microbiome, 2014 - Springer
Background Recovering individual genomes from metagenomic datasets allows access to
uncultivated microbial populations that may have important roles in natural and engineered …

Accurate binning of metagenomic contigs via automated clustering sequences using information of genomic signatures and marker genes

HH Lin, YC Liao - Scientific reports, 2016 - nature.com
Metagenomics, the application of shotgun sequencing, facilitates the reconstruction of the
genomes of individual species from natural environments. A major challenge in the genome …

BusyBee Web: metagenomic data analysis by bootstrapped supervised binning and annotation

CC Laczny, C Kiefer, V Galata, T Fehlmann… - Nucleic acids …, 2017 - academic.oup.com
Metagenomics-based studies of mixed microbial communities are impacting biotechnology,
life sciences and medicine. Computational binning of metagenomic data is a powerful …

Uniform manifold approximation and projection for clustering taxa through vocalizations in a neotropical passerine (rough-legged tyrannulet, Phyllomyias burmeisteri)

RM Parra-Hernández, JI Posada-Quintero… - Animals, 2020 - mdpi.com
Simple Summary Recognizing the different species can help us better understand the
nature. One way to differentiate bird species is the bird song. There are mathematical …

Alignment-free visualization of metagenomic data by nonlinear dimension reduction

CC Laczny, N Pinel, N Vlassis, P Wilmes - Scientific reports, 2014 - nature.com
The visualization of metagenomic data, especially without prior taxonomic identification of
reconstructed genomic fragments, is a challenging problem in computational biology. An …

Survival prediction for oral tongue cancer patients via probabilistic genetic algorithm optimized neural network models

X Pan, T Zhang, QP Yang, D Yang… - The British journal of …, 2020 - academic.oup.com
Objectives: High throughput pre-treatment imaging features may predict radiation treatment
outcome and guide individualized treatment in radiotherapy (RT). Given relatively small …

Species complex delimitations in the genus Hedychium: A machine learning approach for cluster discovery

P Saryan, S Gupta, V Gowda - Applications in Plant Sciences, 2020 - Wiley Online Library
Premise Statistical methods used by most morphologists to validate species boundaries
(such as principal component analysis [PCA] and non‐metric multidimensional scaling …

Cluster sculptor, an interactive visual clustering system

P Bruneau, P Pinheiro, B Broeksema, B Otjacques - Neurocomputing, 2015 - Elsevier
Abstract This paper describes Cluster Sculptor, a novel interactive clustering system that
allows a user to iteratively update the cluster labels of a data set, and an associated low …

acdc–Automated Contamination Detection and Confidence estimation for single-cell genome data

M Lux, J Krüger, C Rinke, I Maus, A Schlüter… - BMC …, 2016 - Springer
Background A major obstacle in single-cell sequencing is sample contamination with foreign
DNA. To guarantee clean genome assemblies and to prevent the introduction of …