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De Novo Sequence Assemblers
De novo sequence assemblers are a type of program that assembles short nucleotide sequences into longer ones without the use of a reference genome. These are most commonly used in bioinformatic studies to assemble genomes or transcriptomes. Two common types of de novo assemblers are greedy algorithm assemblers and De Bruijn graph assemblers. Types of de novo assemblers There are two types of algorithms that are commonly utilized by these assemblers: greedy, which aim for local optima, and graph method algorithms, which aim for global optima. Different assemblers are tailored for particular needs, such as the assembly of (small) bacterial genomes, (large) eukaryotic genomes, or transcriptomes. Greedy algorithm assemblers are assemblers that find local optima in alignments of smaller reads. Greedy algorithm assemblers typically feature several steps: 1) pairwise distance calculation of reads, 2) clustering of reads with greatest overlap, 3) assembly of overlapping reads into larg ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Read (biology)
In DNA sequencing, a read is an inferred sequence of base pairs (or base pair probabilities) corresponding to all or part of a single DNA fragment. A typical sequencing experiment involves fragmentation of the genome into millions of molecules, which are size-selected and ligated to adapters. The set of fragments is referred to as a sequencing library, which is sequenced to produce a set of reads. Read length Sequencing technologies vary in the length of reads produced. Reads of length 20-40 base pairs (bp) are referred to as ultra-short. Typical sequencers produce read lengths in the range of 100-500 bp. However, Pacific Biosciences platforms produce read lengths of approximately 1500 bp. Read length is a factor which can affect the results of biological studies. For example, longer read lengths improve the resolution of ''de novo'' genome assembly and detection of structural variants. It is estimated that read lengths greater than 100 kilobases (kb) will be required for routi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Nucleotide
Nucleotides are organic molecules consisting of a nucleoside and a phosphate. They serve as monomeric units of the nucleic acid polymers – deoxyribonucleic acid (DNA) and ribonucleic acid (RNA), both of which are essential biomolecules within all life-forms on Earth. Nucleotides are obtained in the diet and are also synthesized from common nutrients by the liver. Nucleotides are composed of three subunit molecules: a nucleobase, a five-carbon sugar (ribose or deoxyribose), and a phosphate group consisting of one to three phosphates. The four nucleobases in DNA are guanine, adenine, cytosine and thymine; in RNA, uracil is used in place of thymine. Nucleotides also play a central role in metabolism at a fundamental, cellular level. They provide chemical energy—in the form of the nucleoside triphosphates, adenosine triphosphate (ATP), guanosine triphosphate (GTP), cytidine triphosphate (CTP) and uridine triphosphate (UTP)—throughout the cell for the many cellular func ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Newbler
Newbler is a software package for '' de novo'' DNA sequence assembly. It is designed specifically for assembling sequence data generated by the 454 GS-series of pyrosequencing platforms sold by 454 Life Sciences, a Roche Diagnostics company. Usage Newbler can run via a Java GUI (gsAssembler) or the command line (runAssembly). It works natively with the .SFF data output by the sequencer, but is also able to accept FASTA files, containing nucleotide sequences, with or without quality information, and FASTQ files. It will use older Sanger sequence data if appropriately formatted to aid in assembly and scaffolding. See also *Sequencing *Sequence assembly In bioinformatics, sequence assembly refers to aligning and merging fragments from a longer DNA sequence in order to reconstruct the original sequence. This is needed as DNA sequencing technology might not be able to 'read' whole genomes in one ... References External links454 Sequencing home page Bioinformatics software ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Bioinformatics Software
The list of bioinformatics software tools can be split up according to the license used: *List of proprietary bioinformatics software *List of open-source bioinformatics software Alternatively, here is a categorization according to the respective bioinformatics subfield specialized on: *Sequence analysis software **List of sequence alignment software ** List of alignment visualization software **Alignment-free sequence analysis **De novo sequence assemblers **List of gene prediction software ** List of disorder prediction software ** List of Protein subcellular localization prediction tools **List of phylogenetics software **List of phylogenetic tree visualization software ** :Metagenomics_software *Structural biology software **List of molecular graphics systems **List of protein-ligand docking software **List of RNA structure prediction software **List of software for protein model error verification **List of protein secondary structure prediction programs **List of protein struct ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Bioinformatics Algorithms
Bioinformatics () is an interdisciplinary field that develops methods and software tools for understanding biological data, in particular when the data sets are large and complex. As an interdisciplinary field of science, bioinformatics combines biology, chemistry, physics, computer science, information engineering, mathematics and statistics to analyze and interpret the biological data. Bioinformatics has been used for '' in silico'' analyses of biological queries using computational and statistical techniques. Bioinformatics includes biological studies that use computer programming as part of their methodology, as well as specific analysis "pipelines" that are repeatedly used, particularly in the field of genomics. Common uses of bioinformatics include the identification of candidates genes and single nucleotide polymorphisms (SNPs). Often, such identification is made with the aim to better understand the genetic basis of disease, unique adaptations, desirable properties ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Sequence Alignment
In bioinformatics, a sequence alignment is a way of arranging the sequences of DNA, RNA, or protein to identify regions of similarity that may be a consequence of functional, structural, or evolutionary relationships between the sequences. Aligned sequences of nucleotide or amino acid residues are typically represented as rows within a matrix. Gaps are inserted between the residues so that identical or similar characters are aligned in successive columns. Sequence alignments are also used for non-biological sequences, such as calculating the distance cost between strings in a natural language or in financial data. Interpretation If two sequences in an alignment share a common ancestor, mismatches can be interpreted as point mutations and gaps as indels (that is, insertion or deletion mutations) introduced in one or both lineages in the time since they diverged from one another. In sequence alignments of proteins, the degree of similarity between amino acids occupying a parti ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Sequence Assembly
In bioinformatics, sequence assembly refers to aligning and merging fragments from a longer DNA sequence in order to reconstruct the original sequence. This is needed as DNA sequencing technology might not be able to 'read' whole genomes in one go, but rather reads small pieces of between 20 and 30,000 bases, depending on the technology used. Typically, the short fragments (reads) result from shotgun sequencing genomic DNA, or gene transcript ( ESTs). The problem of sequence assembly can be compared to taking many copies of a book, passing each of them through a shredder with a different cutter, and piecing the text of the book back together just by looking at the shredded pieces. Besides the obvious difficulty of this task, there are some extra practical issues: the original may have many repeated paragraphs, and some shreds may be modified during shredding to have typos. Excerpts from another book may also be added in, and some shreds may be completely unrecognizable. Genom ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Roche 454
F. Hoffmann-La Roche AG, commonly known as Roche, is a Swiss multinational healthcare company that operates worldwide under two divisions: Pharmaceuticals and Diagnostics. Its holding company, Roche Holding AG, has shares listed on the SIX Swiss Exchange. The company headquarters are located in Basel. Roche is the fifth largest pharmaceutical company in the world by revenue, and the leading provider of cancer treatments globally. The company controls the American biotechnology company Genentech, which is a wholly owned affiliate, and the Japanese biotechnology company Chugai Pharmaceuticals, as well as the United States-based companies Ventana and Foundation Medicine. Roche's revenues during fiscal year 2020 were 58.32 billion Swiss francs. Descendants of the founding Hoffmann and Oeri families own slightly over half of the bearer shares with voting rights (a pool of family shareholders 45%, and Maja Oeri a further 5% apart), with Swiss pharma firm Novartis owning a further ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Illumina (company)
Illumina, Inc. is an American biotechnology company, headquartered in San Diego, California. Incorporated on April 1, 1998, Illumina develops, manufactures, and markets integrated systems for the analysis of genetic variation and biological function. The company provides a line of products and services that serves the sequencing, genotyping and gene expression, and proteomics markets. Illumina's technology had purportedly reduced the cost of sequencing a human genome to by 2014. Its customers include genomic research centers, pharmaceutical companies, academic institutions, clinical research organizations, and biotechnology companies. History Illumina was founded in April 1998 by David Walt, Larry Bock, John Stuelpnagel, Anthony Czarnik, and Mark Chee. While working with CW Group, a venture-capital firm, Bock and Stuelpnagel uncovered what would become Illumina's BeadArray technology at Tufts University and negotiated an exclusive license to that technology. In 1999, Illumin ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Velvet Assembler
Velvet is an algorithm package that has been designed to deal with ''de novo'' genome assembly and short read sequencing alignments. This is achieved through the manipulation of de Bruijn graphs for genomic sequence assembly via the removal of errors and the simplification of repeated regions.Zerbino, D. R.; Birney, E. (2008)"Velvet: de novo assembly using very short reads" Retrieved 18 October 2013. Velvet has also been implemented in commercial packages, such as Sequencher, Geneious, MacVector and BioNumerics. Introduction The development of next-generation sequencers (NGS) allowed for increased cost effectiveness on very short read sequencing. The manipulation of de Bruijn graphs as a method for alignment became more realistic but further developments were needed to address issues with errors and repeats. This led to the development of Velvet by Daniel Zerbino and Ewan Birney at the European Bioinformatics Institute in the United Kingdom. Velvet works by efficiently manipul ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
SPAdes (software)
SPAdes (St. Petersburg genome assembler) is a genome assembly algorithm which was designed for single cell and multi-cells bacterial data sets. Therefore, it might not be suitable for large genomes projects. SPAdes works with Ion Torrent, PacBio, Oxford Nanopore, and Illumina paired-end, mate-pairs and single reads. SPAdes has been integrated into Galaxy pipelines by Guy Lionel and Philip Mabon. Background Studying the genome of single cells will help to track changes that occur in DNA over time or associated with exposure to different conditions. Additionally, many projects such as Human Microbiome Project and antibiotics discovery would greatly benefit from Single-cell sequencing (SCS). SCS has an advantage over sequencing DNA extracted from large number of cells. The problem of averaging out the significant variations between cells can be overcome by using SCS. Experimental and computational technologies are being optimized to allow researchers to sequence single cells ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Philip Palmer Green
Philip Palmer Green is a theoretical and computational biologist noted for developing important algorithms and procedures used in Gene mapping and DNA sequencing. He earned his doctorate from Berkeley in mathematics in 1976 with a dissertation on C*-algebra under the direction of Marc Rieffel, but transitioned from pure mathematics into applied work in biology and bioinformatics. Green has obtained numerous important results, including in developing Phred, a widely used DNA trace analyzer, in mapping techniques, and in genetic analysis. Green was elected to the National Academy of Sciences in 2001 and won the Gairdner Award in 2002.National Academy of Sciences (2004Biography of Phil Green PNAS 101(39), 13991–13993. See also *Phred base calling Phred is a computer program for base calling, that is to say, identifying a nucleobase sequence from fluorescence "trace" data generated by an automated DNA sequencer that uses electrophoresis and 4-fluorescent dye method. When origina ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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