The development of Next Generation Sequencing technologies, capable of sequencing hundreds of millions of short reads (25-70 bp each) in a single run, is opening the door to population genomic studies of non-model species. In this paper we present SHRiMP - the SHort Read Mapping Package: a set of algorithms and methods to map short reads to a genome, even in the presence of a large amount of polymorphism. Our method is based upon a fast read mapping technique, separate thorough alignment methods for regular letter-space as well as AB SOLiD (color-space) reads, and a statistical model for false positive hits. We use SHRiMP to map reads from a newly sequenced Ciona savignyi individual to the reference genome. We demonstrate that SHRiMP can accurately map reads to this highly polymorphic genome, while confirming high heterozygosity of C. savignyi in this second individual. SHRiMP is freely available at http://compbio.cs.toronto.edu/shrimp.
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http://dx.doi.org/10.1371/journal.pcbi.1000386 | DOI Listing |
RSC Adv
July 2024
Instituto de Química de São Carlos, Universidade de São Paulo 400, Trabalhador São-carlense Ave. São Carlos SP 13566-590 Brazil
The United Nations estimates that by 2030, agricultural production must increase by 70% to meet food demand. Precision agriculture (PA) optimizes production through efficient resource use, with soil fertility being crucial for nutrient supply. Traditional nutrient quantification methods are costly and time-consuming.
View Article and Find Full Text PDFComput Biol Med
July 2022
Department of Electronics and Communication Engineering, National Institute of Technology Patna, Patna, Bihar, India. Electronic address:
Medical imaging is a widespread method of envisioning the inside of the human anatomy without causing harm. In magnetic resonance imaging (MRI), poor contrast images may not support adequate information for visual reading of affected areas. As a result, image enhancement technique is essential to enhance image views and keep the image processing approach computationally low.
View Article and Find Full Text PDFPhotosynthetica
March 2022
Department of Molecular Biology, Instituto Potosino de Investigación Científica y Tecnológica, Camino a la Presa de San José 2055, Lomas 4ta Sec. 78216, San Luis Potosí, S.L.P. México.
Our research aimed to study the correlation between the readings and the color space CIE L*a*b* values in two cultivars of sp. during leaf senescence and to evaluate the statistical criteria used in the selection of the best fit calibration functions. We demonstrate the importance of the Akaike information criterion and the parsimonious function besides the coefficient of determination.
View Article and Find Full Text PDFSci Total Environ
August 2021
Environmental Science and Policy, George Mason University, 4400 University Drive, MS5F2, Fairfax, VA 22030-444, United States of America. Electronic address:
While the Munsell Soil Color Chart (MSCC) is the most frequently used, well-established field method for reading soil color, the Nix Color Sensor (NCS) is an inexpensive, app-based alternative that can complement or potentially substitute for the MSCC. Soils were collected and their colors were measured from four forested sites across Northern Virginia within the Chesapeake Bay Watershed using both the MSCC and NCS. Three MSCC variables and 15 NCS variables were collected in the field; a methodology was established to use these "measured" (M) variables to derive 9 NCS calculated (C) variables.
View Article and Find Full Text PDFCurr Biol
February 2021
Laboratory of Sensorimotor Research, National Eye Institute, Building 49, NIH Main Campus, Bethesda, MD 20892, USA; National Institute of Mental Health, Bethesda, MD 20892, USA. Electronic address:
The geometry that describes the relationship among colors, and the neural mechanisms that support color vision, are unsettled. Here, we use multivariate analyses of measurements of brain activity obtained with magnetoencephalography to reverse-engineer a geometry of the neural representation of color space. The analyses depend upon determining similarity relationships among the spatial patterns of neural responses to different colors and assessing how these relationships change in time.
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