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https://www.readbyqxmd.com/read/28606054/variable-order-sequence-modeling-improves-bacterial-strain-discrimination-for-ion-torrent-dna-reads
#1
Thomas M Poulsen, Martin Frith
BACKGROUND: Genome sequencing provides a powerful tool for pathogen detection and can help resolve outbreaks that pose public safety and health risks. Mapping of DNA reads to genomes plays a fundamental role in this approach, where accurate alignment and classification of sequencing data is crucial. Standard mapping methods crudely treat bases as independent from their neighbors. Accuracy might be improved by using higher order paired hidden Markov models (HMMs), which model neighbor effects, but introduce design and implementation issues that have typically made them impractical for read mapping applications...
June 12, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28581882/nutriproteomic-analysis-of-hwangmaemok-induced-antiangiogenic-effect-using-antibody-arrayed-protein-chip-assay
#2
Yu Mi Park, Min-A Kim, Hee Tae Jung, Hwa Jeong Kang, Hwa-Seung Yoo, In-Cheol Kang
We investigated the antiangiogenic effects of Lindera obtusiloba Blume (Hwangmaemok, HMM), which is a plant in the Lauraceae family that is commonly used to treat colds and gastritis. Moreover, given that a recent study reported the inhibitory effects of HMM extract on cancer metastasis, we hypothesized that HMM extract might possess and antiangiogenic function. Thus, this study was conducted to investigate the effects of HMM extract on endothelial cell proliferation, migration, and neovascularization in chick chorioallantoic membrane (CAM), and investigated the molecular mechanism of antiangiogenesis using a ProteoChip-based proteomics technology...
June 2017: Journal of Medicinal Food
https://www.readbyqxmd.com/read/28581481/charge-transfer-dynamics-and-nonlocal-dielectric-permittivity-tuned-with-metamaterial-structures-as-solvent-analogues
#3
Kwang Jin Lee, Yiming Xiao, Jae Heun Woo, Eunsun Kim, David Kreher, André-Jean Attias, Fabrice Mathevet, Jean-Charles Ribierre, Jeong Weon Wu, Pascal André
Charge transfer (CT) is a fundamental and ubiquitous mechanism in biology, physics and chemistry. Here, we evidence that CT dynamics can be altered by multi-layered hyperbolic metamaterial (HMM) substrates. Taking triphenylene:perylene diimide dyad supramolecular self-assemblies as a model system, we reveal longer-lived CT states in the presence of HMM structures, with both charge separation and recombination characteristic times increased by factors of 2.4 and 1.7-that is, relative variations of 140 and 73%, respectively...
June 5, 2017: Nature Materials
https://www.readbyqxmd.com/read/28570142/an-efficient-approach-to-explore-and-discriminate-anomalous-regions-in-bacterial-genomes-based-on-maximum-entropy
#4
Gesiele Almeida Barros-Carvalho, Marie-Anne Van Sluys, Fabricio Martins Lopes
Recently, there has been an increase in the number of whole bacterial genomes sequenced, mainly due to the advancing of next-generation sequencing technologies. In face of this, there is a need to provide new analytical alternatives that can follow this advance. Given our current knowledge about the genomic plasticity of bacteria and that those genomic regions can uncover important features about this microorganism, our goal was to develop a fast methodology based on maximum entropy (ME) to guide the researcher to regions that could be prioritized during the analysis...
June 1, 2017: Journal of Computational Biology: a Journal of Computational Molecular Cell Biology
https://www.readbyqxmd.com/read/28538149/icon-an-adaptation-of-infinite-hmms-for-time-traces-with-drift
#5
Ioannis Sgouralis, Steve Pressé
Bayesian nonparametric methods have recently transformed emerging areas within data science. One such promising method, the infinite hidden Markov model (iHMM), generalizes the HMM that itself has become a workhorse in single molecule data analysis. The iHMM goes beyond the HMM by self-consistently learning all parameters learned by the HMM in addition to learning the number of states without recourse to any model selection steps. Despite its generality, simple features (such as drift), common to single molecule time traces, result in an overinterpretation of drift and the introduction of artifact states...
May 23, 2017: Biophysical Journal
https://www.readbyqxmd.com/read/28538142/an-introduction-to-infinite-hmms-for-single-molecule-data-analysis
#6
REVIEW
Ioannis Sgouralis, Steve Pressé
The hidden Markov model (HMM) has been a workhorse of single-molecule data analysis and is now commonly used as a stand-alone tool in time series analysis or in conjunction with other analysis methods such as tracking. Here, we provide a conceptual introduction to an important generalization of the HMM, which is poised to have a deep impact across the field of biophysics: the infinite HMM (iHMM). As a modeling tool, iHMMs can analyze sequential data without a priori setting a specific number of states as required for the traditional (finite) HMM...
May 23, 2017: Biophysical Journal
https://www.readbyqxmd.com/read/28508147/identification-of-beta-lactamases-and-beta-lactam-related-proteins-in-human-pathogenic-bacteria-using-a-computational-search-approach
#7
Aniel Jessica Leticia Brambila-Tapia, Ernesto Perez-Rueda, Humberto Barrios, Nory Omayra Dávalos-Rodríguez, Ingrid Patricia Dávalos-Rodríguez, Ernesto Germán Cardona-Muñoz, Mario Salazar-Páramo
A systematic analysis of beta-lactamases based on comparative proteomics has not been performed thus far. In this report, we searched for the presence of beta-lactam-related proteins in 591 bacterial proteomes belonging to 52 species that are pathogenic to humans. The amino acid sequences for 19 different types of beta-lactamases (ACT, CARB, CifA, CMY, CTX, FOX, GES, GOB, IMP, IND, KPC, LEN, OKP, OXA, OXY, SHV, TEM, NDM, and VIM) were obtained from the ARG-ANNOT database and were used to construct 19 HMM profiles, which were used to identify potential beta-lactamases in the completely sequenced bacterial proteomes...
May 16, 2017: Current Microbiology
https://www.readbyqxmd.com/read/28499350/transcription-factor-associated-combinatorial-epigenetic-pattern-reveals-higher-transcriptional-activity-of-tcf7l2-regulated-intragenic-enhancers
#8
Qi Liu, Russell Bonneville, Tianbao Li, Victor X Jin
BACKGROUND: Recent studies have suggested that combinations of multiple epigenetic modifications are essential for controlling gene expression. Despite numerous computational approaches have been developed to decipher the combinatorial epigenetic patterns or "epigenetic code", none of them has explicitly addressed the relationship between a specific transcription factor (TF) and the patterns. METHODS: Here, we developed a novel computational method, T-cep, for annotating chromatin states associated with a specific TF...
May 12, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28497059/a-new-algorithm-for-identifying-cis-regulatory-modules-based-on-hidden-markov-model
#9
Haitao Guo, Hongwei Huo
The discovery of cis-regulatory modules (CRMs) is the key to understanding mechanisms of transcription regulation. Since CRMs have specific regulatory structures that are the basis for the regulation of gene expression, how to model the regulatory structure of CRMs has a considerable impact on the performance of CRM identification. The paper proposes a CRM discovery algorithm called ComSPS. ComSPS builds a regulatory structure model of CRMs based on HMM by exploring the rules of CRM transcriptional grammar that governs the internal motif site arrangement of CRMs...
2017: BioMed Research International
https://www.readbyqxmd.com/read/28486635/geseq%C3%A2-versatile-and-accurate-annotation-of-organelle-genomes
#10
Michael Tillich, Pascal Lehwark, Tommaso Pellizzer, Elena S Ulbricht-Jones, Axel Fischer, Ralph Bock, Stephan Greiner
We have developed the web application GeSeq (https://chlorobox.mpimp-golm.mpg.de/geseq.html) for the rapid and accurate annotation of organellar genome sequences, in particular chloroplast genomes. In contrast to existing tools, GeSeq combines batch processing with a fully customizable reference sequence selection of organellar genome records from NCBI and/or references uploaded by the user. For the annotation of chloroplast genomes, the application additionally provides an integrated database of manually curated reference sequences...
May 9, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/28469382/performance-of-hidden-markov-models-in-recovering-the-standard-classification-of-glycoside-hydrolases
#11
Mariana Fonseca Rossi, Beatriz Mello, Carlos G Schrago
Glycoside hydrolases (GHs) are carbohydrate-active enzymes that assist the hydrolysis of glycoside bonds of complex sugars into carbohydrates. The current standard GH family classification is available in the CAZy database, which is based on the similarities of amino acid sequences and curated semi-automatically. However, with the exponential increase in data availability from genome sequences, automated classification methods are required for the fast annotation of coding sequences. Currently, the dbCAN database offers automatic annotations of signature domains from CAZy-defined classifications using a statistical approach, the hidden Markov models (HMMs)...
2017: Evolutionary Bioinformatics Online
https://www.readbyqxmd.com/read/28466793/seqping-gene-prediction-pipeline-for-plant-genomes-using-self-training-gene-models-and-transcriptomic-data
#12
Kuang-Lim Chan, Rozana Rosli, Tatiana V Tatarinova, Michael Hogan, Mohd Firdaus-Raih, Eng-Ti Leslie Low
BACKGROUND: Gene prediction is one of the most important steps in the genome annotation process. A large number of software tools and pipelines developed by various computing techniques are available for gene prediction. However, these systems have yet to accurately predict all or even most of the protein-coding regions. Furthermore, none of the currently available gene-finders has a universal Hidden Markov Model (HMM) that can perform gene prediction for all organisms equally well in an automatic fashion...
January 27, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28462208/diagnosis-of-the-ocd-patients-using-drawing-features-of-the-bender-gestalt-shapes
#13
R Boostani, F Asadi, N Mohammadi
BACKGROUND: Since psychological tests such as questionnaire or drawing tests are almost qualitative, their results carry a degree of uncertainty and sometimes subjectivity. The deficiency of all drawing tests is that the assessment is carried out after drawing the objects and lots of information such as pen angle, speed, curvature and pressure are missed through the test. In other words, the psychologists cannot assess their patients while running the tests. One of the famous drawing tests to measure the degree of Obsession Compulsion Disorder (OCD) is the Bender Gestalt, though its reliability is not promising...
March 2017: Journal of Biomedical Physics & Engineering
https://www.readbyqxmd.com/read/28462050/a-profile-hidden-markov-model-to-investigate-the-distribution-and-frequency-of-lanb-encoding-lantibiotic-modification-genes-in-the-human-oral-and-gut-microbiome
#14
Calum J Walsh, Caitriona M Guinane, Paul W O' Toole, Paul D Cotter
BACKGROUND: The human microbiota plays a key role in health and disease, and bacteriocins, which are small, bacterially produced, antimicrobial peptides, are likely to have an important function in the stability and dynamics of this community. Here we examined the density and distribution of the subclass I lantibiotic modification protein, LanB, in human oral and stool microbiome datasets using a specially constructed profile Hidden Markov Model (HMM). METHODS: The model was validated by correctly identifying known lanB genes in the genomes of known bacteriocin producers more effectively than other methods, while being sensitive enough to differentiate between different subclasses of lantibiotic modification proteins...
2017: PeerJ
https://www.readbyqxmd.com/read/28460065/sbspksv2-structure-based-sequence-analysis-of-polyketide-synthases-and-non-ribosomal-peptide-synthetases
#15
Shradha Khater, Money Gupta, Priyesh Agrawal, Neetu Sain, Jyoti Prava, Priya Gupta, Mansi Grover, Narendra Kumar, Debasisa Mohanty
Genome guided discovery of novel natural products has been a promising approach for identification of new bioactive compounds. SBSPKS web-server has been a valuable resource for analysis of polyketide synthase (PKS) and non-ribosomal peptide synthetase (NRPS) gene clusters. We have developed an updated version - SBSPKSv2 which is based on comprehensive analysis of sequence, structure and secondary metabolite chemical structure data from 311 experimentally characterized PKS/NRPS gene clusters with known biosynthetic products...
April 29, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/28435123/is-having-similar-eye-movement-patterns-during-face-learning-and-recognition-beneficial-for-recognition-performance-evidence-from-hidden-markov-modeling
#16
Tim Chuk, Antoni B Chan, Janet Hsiao
The hidden Markov model (HMM)-based approach for eye movement analysis is able to reflect individual differences in both spatial and temporal aspects of eye movements. Here we used this approach to understand the relationship between eye movements during face learning and recognition, and its association with recognition performance. We discovered holistic (i.e., mainly looking at the face center) and analytic (i.e., specifically looking at the two eyes in addition to the face center) patterns during both learning and recognition...
April 20, 2017: Vision Research
https://www.readbyqxmd.com/read/28433414/diffusion-tensor-imaging-findings-and-cognitive-function-following-hospitalized-mixed-mechanism-mild-traumatic-brain-injury-a-systematic-review-and-meta-analysis
#17
REVIEW
Lucy Oehr, Jacqueline Anderson
OBJECTIVE: To undertake a systematic review and meta-analysis of the relationship between microstructural damage and cognitive function after hospitalized mixed-mechanism (HMM) mild traumatic brain injury (mTBI). DATA SOURCES: PsycInfo, EMBASE, and MEDLINE were used to find relevant empirical articles published between January 2002 and January 2016. STUDY SELECTION: Studies that examined the specific relationship between diffusion tensor imaging (DTI) and cognitive test performance were included...
April 20, 2017: Archives of Physical Medicine and Rehabilitation
https://www.readbyqxmd.com/read/28417113/temporal-registration-in-in-utero-volumetric-mri-time-series
#18
Ruizhi Liao, Esra A Turk, Miaomiao Zhang, Jie Luo, P Ellen Grant, Elfar Adalsteinsson, Polina Golland
We present a robust method to correct for motion and deformations in in-utero volumetric MRI time series. Spatio-temporal analysis of dynamic MRI requires robust alignment across time in the presence of substantial and unpredictable motion. We make a Markov assumption on the nature of deformations to take advantage of the temporal structure in the image data. Forward message passing in the corresponding hidden Markov model (HMM) yields an estimation algorithm that only has to account for relatively small motion between consecutive frames...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/28409487/scanpath-modeling-and-classification-with-hidden-markov-models
#19
Antoine Coutrot, Janet H Hsiao, Antoni B Chan
How people look at visual information reveals fundamental information about them; their interests and their states of mind. Previous studies showed that scanpath, i.e., the sequence of eye movements made by an observer exploring a visual stimulus, can be used to infer observer-related (e.g., task at hand) and stimuli-related (e.g., image semantic category) information. However, eye movements are complex signals and many of these studies rely on limited gaze descriptors and bespoke datasets. Here, we provide a turnkey method for scanpath modeling and classification...
April 13, 2017: Behavior Research Methods
https://www.readbyqxmd.com/read/28408921/phase-segmentation-methods-for-an-automatic-surgical-workflow-analysis
#20
Dinh Tuan Tran, Ryuhei Sakurai, Hirotake Yamazoe, Joo-Ho Lee
In this paper, we present robust methods for automatically segmenting phases in a specified surgical workflow by using latent Dirichlet allocation (LDA) and hidden Markov model (HMM) approaches. More specifically, our goal is to output an appropriate phase label for each given time point of a surgical workflow in an operating room. The fundamental idea behind our work lies in constructing an HMM based on observed values obtained via an LDA topic model covering optical flow motion features of general working contexts, including medical staff, equipment, and materials...
2017: International Journal of Biomedical Imaging
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