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BLAST output parsers: MuSeqBox, Zerg, BioParser, BLAST-Explorer, SequenceServer; specialized BLAST-related tools: MEGAN, BLAST2GENE, BOV, Circoletto; Example visualizations of BLAST results are shown in Figure 4 and 5. Fig. 4 Circos-style visualization of BLAST results generated using SequenceServer software.
JasperReports is an open source reporting library that can be embedded into any Java application. Features include: Scriptlets may accompany the report definition, [3] which the report definition can invoke at any point to perform additional processing. The scriptlet is built using Java, and has many hooks that can be invoked before or after ...
BioJava is an open-source software project dedicated to provide Java tools to process biological data. [1] [2] [3] BioJava is a set of library functions written in the programming language Java for manipulating sequences, protein structures, file parsers, Common Object Request Broker Architecture (CORBA) interoperability, Distributed Annotation System (DAS), access to AceDB, dynamic ...
The fourth is a great example of how interactive graphical tools enable a worker involved in sequence analysis to conveniently execute a variety if different computational tools to explore an alignment's phylogenetic implications; or, to predict the structure and functional properties of a specific sequence, e.g., comparative modelling.
The name of SAM came from Gabor Marth from University of Utah, who originally had a format under the same name but with a different syntax more similar to a BLAST output. [2] It is widely used for storing data, such as nucleotide sequences, generated by next generation sequencing technologies, and the standard has been broadened to include ...
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Although the FASTA format is most often used as input to formatdb, the use of ASN.1 is advantageous for those who are using ASN.1 as the common source for other formats such as the GenBank report. The opposite of operation of formatdb, extracting sequences from a blast formatted database, can be achieved by using the fastacmd program, which ...
The FAST4 format was invented as a derivative of the FASTQ format where each of the 4 bases (A,C,G,T) had separate probabilities stored. It was part of the Swift basecaller, an open source package for primary data analysis on next-gen sequence data "from images to basecalls". The FAST5 format was invented as an extension of the FAST4 format.