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Clerk Maxwell showed in the late nineteen century that every color image cough be created using three images – Red, green and Blue image. A mix of these three images can produce every color. This model, named RGB model, is primarily used in image representation. The RGB image could be presented as a triple(R, G, B) where usually R, G, and B take values in the range [0, 255]. Another color model is YIQ model (lamination (Y), phase (I), quadrature phase (Q)). It is the base for the color television standard. Images are presented in computers as a matrix of pixels.

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A type of IN SITU HYBRIDIZATION in which target sequences are stained with fluorescent dye so their location and size can be determined using fluorescence microscopy. This staining is sufficiently distinct that the hybridization signal can be seen both in metaphase spreads and in interphase nuclei.

The extent to which CBIR technology is currently in routine use is clearly still very limited. In particular, CBIR technology has so far had little impact on the more general applications of image searching, such as journalism or home entertainment. Only in very specialist areas such as crime prevention has CBIR technology been adopted to any significant extent.

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This file presents validation information showing the degree of corroboration of clone mappings in the fingerprint map and sequence. For each clone in the rearray, a 10-clone neighbourhood is selected from neighbouring canonical map clones with sequence coordinates. The union of sequence coordinates of these map clones from a set of neighbourhoods against which the clones sequence position is compared.

Although second generation sequencing (2GS) technologies allow re-sequencing of previously gold-standard-sequenced genomes, whole genome shotgun sequencing and de novo assembly of large and complex eukaryotic genomes is still difficult. Availability of a genome-wide physical map is therefore still a prerequisite for whole genome sequencing for genomes like barley.

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In color component analysis for retrieving the similar images we have implemented Euclidean Distance formula to calculate the distance between the query image and the images present in the database. The images that fall within the specified threshold are retrieved. We can change the value of threshold according to our needs.

Users needing to retrieve images from a collection come from a variety of domains, including crime prevention, medicine, architecture, fashion and publishing. Remarkably little has yet been published on the way such users search for and use images, though attempts are being made to categorize users’ behavior in the hope that this will enable their needs to be better met in the future. Attempts are also going on integrating the search for all kind of images and combining all above mentioned feature vectors for comparison and retrieval so as to achieve the best possible efficiency.

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THE Π RESEARCH NETWORK THE PHILOSOPHY OF INFORMATION AN INTRODUCTION

MATLAB is a scientific programming language and provides strong mathematical and numerical support for the implementation of advanced algorithms. It is for this reason that MATLAB is widely used by the image processing and computer vision community. New algorithms are very likely to be implemented first in MATLAB, indeed they may only be available in MATLAB.

Content based Image Retrieval using MATLAB

A species of temperate bacteriophage in the genus P1-like viruses, family MYOVIRIDAE, which infects E. coli. It is the largest of the COLIPHAGES and consists of double-stranded DNA, terminally redundant, and circularly permuted.

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Molecular Cloning, also known as Maniatis, has served as the foundation of technical expertise in labs worldwide for 30 years. No other manual has been so popular, or so influential.

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Once a tiling path has been found, the BACs that form this path are sheared at random into smaller fragments and can be sequenced using the shotgun method on a smaller scale. Although the full sequences of the BAC contigs is not known, their orientations relative to one another are known. There are several methods for deducing this order and selecting the BACs that make up a tiling path. The general strategy involves identifying the positions of the clones relative to one another and then selecting the least number of clones required to form a contiguous scaffold that covers the entire area of interest. The order of the clones is deduced by determining the way in which they overlap. Overlapping clones can be identified in several ways. A small radioactively or chemically labeled probe containing a sequence-tagged site (STS) can be hybridized onto a microarray upon which the clones are printed. In this way, all the clones that contain a particular sequence in the genome are identified.

Once user browses the image they will have to select one of the options for searching either for color or gray image. Once they select the option there are two possibilities, either they will get the relevant images if it is available in database otherwise they will get a dialogue box stating “no images to display”.

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IBM’s QBIC system is probably the best-known of all image content retrieval systems. It is available commercially either in standalone form, or as part of other IBM products such as the DB2 Digital Library. It offers retrieval by any combination of color, texture or shape – as well as by text keyword. Image queries can be formulated by selection from a palette, specifying an example query image, or sketching a desired shape on the screen. The system extracts and stores color, shape and texture features from each image added to the database, and uses R*-tree indexes to improve search efficiency. At search time, the system matches appropriate features from query and stored images, calculates a similarity score between the query and each stored image examined, and displays the most similar images on the screen as thumbnails. The latest version of the system incorporates more efficient indexing techniques, an improved user interface, the ability to search grey-level images, and a video storyboarding facility.

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Many picture libraries use keywords as their main form of retrieval – often using indexing schemes developed in-house, which reflect the special nature of their collections. A good example of this is the system developed by Getty Images to index their collection of contemporary stock photographs. Their thesaurus comprises just over 10 000 keywords, divided into nine semantic groups, including geography, people, activities and concepts. Index terms are assigned to the whole image, the main objects depicted, and their setting.

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Analysis of PEPTIDES that are generated from the digestion or fragmentation of a protein or mixture of PROTEINS, by ELECTROPHORESIS; CHROMATOGRAPHY; or MASS SPECTROMETRY. The resulting peptide fingerprints are analyzed for a variety of purposes including the identification of the proteins in a sample, GENETIC POLYMORPHISMS, patterns of gene expression, and patterns diagnostic for diseases.

The arrangement of two or more amino acid or base sequences from an organism or organisms in such a way as to align areas of the sequences sharing common properties. The degree of relatedness or homology between the sequences is predicted computationally or statistically based on weights assigned to the elements aligned between the sequences. This in turn can serve as a potential indicator of the genetic relatedness between the organisms.

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Columnar Mean is one of the methodologies that we use in the CBIRS to retrieve gray map images. In this method we take only gray scale image for image analysis. In this approach we calculate the average (Empirical Mean or simply Mean) value of each column of the image (because image is stored as a matrix using standard Matlab matrix conventions) and make those values as the index for that image and are stored in the database. While retrieving the image from the database based on the input image, we calculate mean value of each column of the input image and will compare these values with that stored in the database, if there is a match then we will retrieve those images.

A field of biology concerned with the development of techniques for the collection and manipulation of biological data, and the use of such data to make biological discoveries or predictions. This field encompasses all computational methods and theories for solving biological problems including manipulation of models and datasets.

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Finds sub-sequences or patterns in the sequence and highlights the matching regions. The tool works with standard single letter nucleotide or protein codes including ambiguities and can match Prosite patterns in protein sequences.

Theoretical representations that simulate the behavior or activity of genetic processes or phenomena. They include the use of mathematical equations, computers, and other electronic equipment.

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A variety of simple repeat sequences that are distributed throughout the GENOME. They are characterized by a short repeat unit of 2-8 basepairs that is repeated up to 100 times. They are also known as short tandem repeats (STRs).

A color is a composite of some basic colors. MATLAB therefore breaks each individual pixel of a color image (termed ‘true color’) down into Red, Green and Blue values. What we get as a result, for the entire image, are 3 matrices, one representing each color. The three matrices are stacked next to each other creating a 3 dimensional m by n by 3 matrixes.

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Ultimately, there is a relatively small limit on the size of a fragment (generally well under a kilobase, though I think Ive seen discussion on SEQAnswers of kilobase+ fragments in Illumina) which can function in the systems, so to go longer mate-pair approaches were developed. These generate two reads known to be separated by a relatively long distance, on the scale of kilobases. These solve the problem by a bunch of trickery eliminating the intervening DNA but retaining linked tags. Such schemes typically involve shearing, ligation (or in vitro recombination) into circles, another shearing step, capture of the junction fragments and conversion into a library. A bunch of work, and with a number of serious disadvantages. In particular, they tend to require tremendous amounts of upfront DNA, often tens of micrograms. The length of the original inserts are limited by what can be efficiently circularized. Most mate pair approaches shoot for under 20Kb, though Lucigen has a clever kit aimed to.

More than 98% of these data passed quality filtering. The reads (and coverage) were distributed approximately equally among the 4 elk, resulting in approximately 10X coverage for each of the 4 elk. The tule elk reads were de novo assembled into 602,862 contiguous sequences (contigs) averaging 3,973 bp in length (N50 = 6,885 bp, maximum contig length = 72,391 bp), for a total genome sequence size of 2/395 billion bp (Gbp). All scaffolds and raw reads will be made publicly available on Genbank or a similar public database pending publication. Alignment of all elk reads back to these contigs revealed 3,571,069 polymorphic sites (0/15% of sites). Assuming a similar ratio of heterozygous (in individuals) to polymorphic (among the 4 elk) sites as we observed in the subsample aligned to the sheep genome.

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It is not limited to storing only passwords - you can store any information you want, like key codes and serial number of purchased software programs, bank account numbers, credit card numbers, membership numbers, magazine/newspaper subscription dates etc. Storing all your useful information in one place makes it very easy to find it when required and you can also backup all this data at once just by copying single database file.

Content Based Image Retrieval

In our project we have only done color analysis and the information about object location, shape, and texture is discarded. Thus this project showed that images retrieved by using the above mentioned methods may not be semantically related even though they share similar color distribution in some results.

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Recording of regional electrophysiological information by analysis of surface potentials to give a complete picture of the effects of the currents from the heart on the body surface. It has been applied to the diagnosis of old inferior myocardial infarction, localization of the bypass pathway in Wolff-Parkinson-White syndrome, recognition of ventricular hypertrophy, estimation of the size of a myocardial infarct, and the effects of different interventions designed to reduce infarct size.

Herpesvirus of turkey (HVT) is an alphaherpesvirus that is widely used as a live vaccine against Marek's disease because of its antigenic relationship with Marek's disease virus (MDV). In spite of a similar genome structure, HVT has several unique genes, the functions of which are not completely understood. As a first step in carrying out detailed analysis of the functions of the HVT genes, a full-length infectious bacterial artificial chromosome (BAC) clone of HVT was constructed. DNA from two independent BAC clones, upon transfection into chicken embryo fibroblasts, produced plaques similar to those produced by the wild-type virus. Viruses derived from the BAC clones were stable during in vitro passage, but showed differences in in vitro growth kinetics compared with the wild-type virus.

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Genomic sequence contigs for unfinished chromosomes are assembled and laid out based largely on the clone tiling path. However, the tiling paths do not specify the orientation of the clone sequences or how they should be joined; therefore, data on the alignment of the input genomic sequences to each other and to other sequences are also used to guide the assembly. Genomic sequences that augment the initial set of genomic contigs based on the tiling path clones are also incorporated.

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MATLAB is a general purpose programming language. When it is used to process images one generally writes function files, or script files to perform the operations. These files form a formal record of the processing used and ensures that the final results can be tested and replicated by others should the need arise.

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Using high-resolution genetic mapping techniques, we have restricted the position of the Lps gene to a 0/9-cM region of chromosome 4, flanked proximally by D4Nds9 and distally by D4Mit178. A 1/7-Mb cloned DNA contig spanning this interval was sequentially assembled using YAC, BAC, and P1 clones. Our data differ significantly from another recently published physical map encompassing the Lps locus ((37)). In this contig, a gap (estimated at 100 kb by fluorescence in situ hybridization) exists in the BAC contig between D4Nds9 and D4Mit178. Comparison of BAC clone addresses common to both maps suggests that this gap corresponds to the center of our contig, and is ∼950 kb in size. Finally, through cDNA selection and nucleotide sequencing of randomly cloned sheared BACs from our contig, we have identified three transcription units within the Lps candidate region, including Tlr4, and two novel genes. We provide evidence that implicates mouse Tlr4 as a critical regulator of the innate host response.

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This Contig Editor Commands menu function operates in a very similar manner to the main Gap4 List Confidence command (see section List Confidence), except that it only operates on the current contig, and it uses the current editor consensus confidences rather than the ones saved to disk. It displays a dialogue requesting a range within the contig and a question asking if only summary of the results is required. Pressing OK or Apply will add to the editor information line a count of the expected number of errors and the error rate. If the Only update information line question was answered No then the full frequency table will also be output. It will appear in the main text output window in the same format as the List Confidence command in the main Gap4 View menu. The Apply button can be used to calculate the number of errors without removing the dialogue. It is often the very ends of contigs (which are generally low coverage and bad quality) that have most of the errors, and so it is.

A set of genes descended by duplication and variation from some ancestral gene. Such genes may be clustered together on the same chromosome or dispersed on different chromosomes. Examples of multigene families include those that encode the hemoglobins, immunoglobulins, histocompatibility antigens, actins, tubulins, keratins, collagens, heat shock proteins, salivary glue proteins, chorion proteins, cuticle proteins, yolk proteins, and phaseolins, as well as histones, ribosomal RNA, and transfer RNA genes.

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Species- or subspecies-specific DNA (including COMPLEMENTARY DNA; conserved genes, whole chromosomes, or whole genomes) used in hybridization studies in order to identify microorganisms, to measure DNA-DNA homologies, to group subspecies, etc. The DNA probe hybridizes with a specific mRNA, if present. Conventional techniques used for testing for the hybridization product include dot blot assays, Southern blot assays, and DNA:RNA hybrid-specific antibody tests. Conventional labels for the DNA probe include the radioisotope labels 32P and 125I and the chemical label biotin. The use of DNA probes provides a specific, sensitive, rapid, and inexpensive replacement for cell culture techniques for diagnosing infections.

Philosophy of Information: An Introduction

Connects a MATLAB session to a database via an ODBC driver, returning the connection object to conn. The data source to which we are connecting is ‘retsys’.

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Shotgun sequencing is the most widely used technique for determining the DNA sequence of organisms. It involves breaking up the DNA into many small pieces that can be read by automated sequencing machines, then piecing together the original genome using specialized software programs called assemblers. Due to the large amounts of data being generated and to the complex structure of most organisms genomes, successful assembly programs rely on sophisticated algorithms based on knowledge from such diverse fields as statistics, graph theory, computer science, and computer engineering. Throughout this chapter we will describe the main computational challenges imposed by the shotgun sequencing method, and survey the most widely used assembly algorithms.

Assembling a large genome using next generation sequencing reads requires large computer memory and a long execution time. To reduce these requirements, we propose an extension-based assembler, called JR-Assembler, where J and R stand for jumping extension and read remapping. First, it uses the read count to select good quality reads as seeds. Second, it extends each seed by a whole-read extension process, which expedites the extension process and can jump over short repeats. Third, it uses a dynamic back trimming process to avoid extension termination due to sequencing errors. Fourth, it remaps reads to each assembled sequence, and if an assembly error occurs by the presence of a repeat, it breaks the contig at the repeat boundaries. Fifth, it applies a less stringent extension criterion to connect low-coverage regions. Finally, it merges contigs by unused reads.

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As part of the effort to sequence the genome of Rattus norvegicus, we constructed a physical map comprised of fingerprinted bacterial artificial chromosome (BAC) clones from the CHORI-230 BAC library. These BAC clones provide approximately 13-fold redundant coverage of the genome and have been assembled into 376 fingerprint contigs. A yeast artificial chromosome (YAC) map was also constructed and aligned with the BAC map via fingerprinted BAC and P1 artificial chromosome clones (PACs) sharing interspersed repetitive sequence markers with the YAC-based physical map. We have annotated 95% of the fingerprint map clones in contigs with coordinates on the version 3/1 rat genome sequence assembly, using BAC-end sequences and in silico mapping methods. These coordinates have allowed anchoring 358 of the 376 fingerprint map contigs onto the sequence assembly. Of these, 324 contigs are anchored to rat genome sequences localized to chromosomes, and 34 contigs are anchored to unlocalized portions of the.

As part of the European Scientists Sequencing Arabidopsis program, a contiguous region (396607 bp) located on chromosome 4 around the APETALA2 gene was sequenced. Analysis of the sequence and comparison to public databases predicts 103 genes in this area, which represents a gene density of one gene per 3/85 kb. Almost half of the genes show no significant homology to known database entries. In addition, the first 45 kb of the contig, which covers 11 genes, is similar to a region on chromosome 2, as far as coding sequences are concerned.

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Engineers Garage Content based Image Retrieval using MATLAB Comments Feed

The most important property of this software is that the results of different test queries can be seen quickly and the results can be saved safely on a disk. Thus the visual layout is not as important as in case of a commercial software product.

MOTIVATION: STS-content data for genomic mapping contain numerous errors and anomalies resulting in cross-links among distant regions of the genome. Identification of contigs within the data is an important and difficult problem. RESULTS: This paper introduces a graph algorithm which creates a simplified view of STS-content data. The shape of the resulting structure graph provides a quality check - coherent data produce a straight line, while anomalous data produce branches and loops.

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CBIR at present is still very much a research topic. The technology is exciting but immature, and few operational image archives have yet shown any serious interest in adoption. The crucial question that this report attempts to answer is whether CBIR will turn out to be a flash in the pan, or the wave of the future. Our view is that CBIR is here to stay. It is not as effective as some of its more ardent enthusiasts claim – but it is a lot better than many of its critics allow, and its capabilities are improving all the time. Most current keyword-based image retrieval systems leave a great deal to be desired. In hard-nosed commercial terms, only one application of CBIR (video asset management) appears our view is that CBIR is here to stay. It is not as effective as some of its more ardent enthusiasts claim – but it is a lot better than many of its critics allow, and its capabilities are improving all the time. And as we argue in section Error!

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The medical and related health professions use and store visual information in the form of X-rays, ultrasound or other scanned images, for diagnosis and monitoring purposes. There are strict rules on confidentiality of such information. The images are kept with the patients’ health records which are, in the main, manual files, stored by unique identifier (NI number). Visual information, provided it is rendered anonymous, may be used for research and teaching purposes. Much of the research effort related to images is undertaken in the medical physics area.

The ability to retrieve by shape is perhaps the most obvious requirement at the primitive level. Unlike texture, shape is a fairly well-defined concept – and there is considerable evidence that natural objects are primarily recognized by their shape. A number of features characteristic of object shape (but independent of size or orientation) are computed for every object identified within each stored image. Queries are then answered by computing the same set of features for the query image, and retrieving those stored images whose features most closely match those of the query. Two main types of shape feature are commonly used – global features such as aspect ratio, circularity and moment invariants and local features such as sets of consecutive boundary segments. Alternative methods proposed for shape matching have included elastic deformation of templates, comparison of directional histograms of edges extracted from the image, and shocks, skeletal representations of object shape that can be compared using graph matching techniques. Queries to shape retrieval systems are formulated either by identifying an example image to act as the query, or as a user-drawn sketch.

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Sequences of DNA or RNA that occur in multiple copies. There are several types: INTERSPERSED REPETITIVE SEQUENCES are copies of transposable elements (DNA TRANSPOSABLE ELEMENTS or RETROELEMENTS) dispersed throughout the genome. TERMINAL REPEAT SEQUENCES flank both ends of another sequence, for example, the long terminal repeats (LTRs) on RETROVIRUSES. Variations may be direct repeats, those occurring in the same direction, or inverted repeats, those opposite to each other in direction. TANDEM REPEAT SEQUENCES are copies which lie adjacent to each other, direct or inverted (INVERTED REPEAT SEQUENCES).

A molecular assembler, as defined by K. Eric Drexler, is a proposed device able to guide chemical reactions by positioning reactive molecules with atomic precision. A molecular assembler is a kind of molecular machine. Some biological molecules such as ribosomes fit this definition. This is because they receive instructions from messenger RNA and then assemble specific sequences of amino acids to construct protein molecules. However, the term molecular assembler usually refers to theoretical human-made devices. Beginning in 2007, the British Engineering and Physical Sciences Research Council has funded development of ribosome-like molecular assemblers. Clearly, molecular assemblers are possible in this limited sense.

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The above table shows the comparative result of all the methodologies used in the project for standard databases. Caltech database is used for astronomical images, in the same way Groningen database is used for natural images where we have achieved better efficiency compared to aircraft database sets derived from AT&T database.

A method for ordering genetic loci along CHROMOSOMES. The method involves fusing irradiated donor cells with host cells from another species. Following cell fusion, fragments of DNA from the irradiated cells become integrated into the chromosomes of the host cells. Molecular probing of DNA obtained from the fused cells is used to determine if two or more genetic loci are located within the same fragment of donor cell DNA.

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The use of images in human communication is hardly new – our cave-dwelling ancestors painted pictures on the walls of their caves, and the use of maps and building plans to convey information almost certainly dates back to pre-Roman times. But the twentieth century has witnessed unparalleled growth in the number, availability and importance of images in all walks of life. Images now play a crucial role in fields as diverse as medicine, journalism, advertising, design, education and entertainment.

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Landmarks of expressed sequence tags (ESTs) located within a minimum tile path (MTP) of contiguous (contig) bacterial artificial chromosome (BAC) clones or radiation hybrid set can identify stress and defense related gene rich regions in the genome. A physical map of about 2,800 contigs and MTPs of 8,064 BAC clones encompass the soybean genome. That genome is being sequenced by whole genome shotgun methods so that reliable estimates of gene family size and gene locations will provide a useful tool for finishing. The aims here were to develop methods to anchor plant defense- and stress-related gene paralogues on the MTP derived from the soybean physical map, to identify gene rich regions and to correlate those with QTL for disease resistance.

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MATLAB is a software package for high-performance numerical computation and visualization. It provides an interactive environment with hundreds of built-in functions for technical computation, graphics and animation. It also provides easy extensibility with its own high level programming language. The name MATLAB stands for MATrix Laboratory.

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Some groups of people use images in their job on a daily basis, such as graphic designers and illustrators, whilst others may never be required to use them, such as bank managers and accountants. There is a wide range of professions lying between these two extremes, including medicine and law. Other groups of workers, such as librarians and museum curators, may be required to find images on behalf of clients rather than for themselves. It is impossible to give a full picture here of the uses being made of visual information. The following examples should be interpreted as being merely a snapshot of the situation.

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Computer scientists at UC San Diego and Saint Petersburg State University have developed a new approach to genome assembly that will help scientists identify new viruses in complex samples. The technique, called metaviralSPAdes, allows researchers and clinicians to delineate a single viral genome, even when it is mixed with thousands of others viruses and bacteria. The study was recently published in the journal Bioinformatics. When a new virus emerges, biologists rush to reconstruct its genome, a prerequisite for future diagnostics and vaccine development, said Pavel Pevzner, Ronald R. Taylor Professor of Computer Science in the Computer Science and Engineering Department at UC San Diego and senior author on the paper. The challenge with viral sequencing is that a sample from a patient, like the saliva from the COVID-19 patient used to assemble the first SARS-COV-2 genome, contains genomes from many other viruses. There may also be hundreds, or even thousands, of bacterial genomes.

We have implemented the CBIR system which takes into consideration the low level features of image which is more comprehensive when compared to high level features and it also gives user a higher level of retrieval. We have divided an Image into two very basic categories of color and grayscale and used different features vector for similarity comparison and retrieval. We have used columnar mean, diagonal mean and histogram for grayscale and RGB values and Euclidean methods for color image. User always wants a friendly environment so that they can easily and effectively use the system without actually going into the finer details of the working. So, to create such a user friendly platform for the system we have designed a Graphic User Interface where user can actually select the method which they want to be used for the image retrieval and that will give them an option of using different method if the result is not as per their requirement.

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