BlastViewer provides an interactive graphical user interface for the analysis of the reports produced by the NCBI BLAST sequence database search system.
As a BLAST graphical analyzer, BlastViewer was designed for everyday biological sequence analysis relying on BLAST.
It allows an easy visualisation and analysis of the huge amount of data usualy contained in a BLAST result file.
BlastViewer Crack (2022)
BlastViewer Download With Full Crack is a fast, powerful and convenient tool to analyse BLAST result files.
In addition to viewing BLAST results, BlastViewer allows exporting the BLAST report into XML, tab-delimited or Microsoft Excel formats.
The result files may be analysed by BlastViewer for a single query or a multiple queries.
The BlastViewer interface is based on a combination of graphic interface and a SQL database.
Database files are saved in ASCII table format and the query result files are saved in tab-delimited (.txt), delimited files (.csv) or Microsoft Excel (.xls) formats.
The results may be saved with a CSV delimiter or with a tab delimiter in order to match the original report file.
BlastViewer supports the BLAST2 and BLASTX algorithms.
Currently, BlastViewer has only two graphic interfaces (or layouts) for viewing the results: a 2-dimensional bar graph
representing a multiple alignment of the query sequence and the subject sequence,
and a 3D representation of these alignments.
In the 2D layout, the query sequence is represented by a blue line and the subject sequence by a green line.
The lines’ colors are used to indicate the level of similarity between the query and the subject sequences,
from the ones that are the most similar, to those that are the least similar.
The heights of the lines indicate the level of similarity by plotting the distance metric values.
In this interface,
the distance matrix based on Needleman-Wunsch (NW) was used as a
distance method in the BLAST2 algorithm.
In the 3D layout, the query sequence is represented by the blue wireframe, and the
subject sequence by the green wireframe.
The wireframes are plotted in the orthogonal two-dimensional projection
of the three-dimensional model of the query and subject sequences: the query 3D model
has been created by molecular dynamic simulation and the 3D model of the subject sequence
was derived from the query 3D model by a least-squares fitting procedure.
At this level, each line of the wireframe represents a residue, and the height of the wireframe is equal
to the distance between the corresponding residues in the two sequences.
The BlastViewer Java interface allows the easy graphical analysis of Blast result files, either for a single query or a multiple queries.
Blast
BlastViewer [Win/Mac]
– works on Windows, Mac OS and Linux platforms
– native language support (English, French, German, Spanish, Russian, Czech and…)
– free (no registration required)
– high graphical performance
– special graphs and support for Blast results for RNA sequences (SRS and RNASampler files)
– fast BLAST results (200 requests/second)
– native format support
-…
PyCog is a web based software that allows to quickly generate Python script files that download the data stored in the web base (with scripts like urllib2.urlretrieve) and process and plot them.
As an example, a script is generated that downloads a file from our web base, saves it and plots its content.
PyCog Description:
– supports Python 2.5 and up
– the script can be saved as an HTML file (with a standart Django template)
-…
PyAlign is a web based software that allows to align sequences.
It is inspired by the align2d program from the EMBOSS suite.
PyAlign Description:
– supports RNA and DNA sequences
– packages the related information into a web based package (Html, Python and Javascript)
– the alignment can be saved as an html page (with a standard Djang template)
-…
PyPlot is a web based software that allows to plot data files (with scripts like urllib2.urlretrieve, Image, Syhmpathies and Pylab) and save them as graphical files (in PNG, JPG or PDF format).
PyPlot Description:
– supports Python 2.5 and up
– Python scripts can be saved as an HTML file (with a standart Django template)
-…
BioPython allows the Python programming language to be used to process data coming from standard biological tools.
BioPython is mainly focused on scientific data but is also providing a platform for the development of software packages to assist biological researchers.
BioPython Description:
– supports Python 2.5 and up
-…
PyMole’s workspace is a program that allows the use of the PyMole Python package from the Python programming language to implement fast procedures for the visualization and the optimization of molecules.
PyMole Description:
– works on Python 2.5 and up
-…
PyMol is a program that allows the use of the PyMole Python
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BlastViewer
This program is an easy-to-use graphical user interface for the NCBI BLAST nucleic acid sequence database search system. This program allows you to find:
– diagnostic tools for all BLAST datasets,
– similarity, motif and taxonomic distribution of a particular sequence.
BlastViewer uses the detailed BLAST report to analyse BLAST results. You can:
* Find the best hits for your query sequence.
* View the best hits saved in a BLAST output file.
* Find out the number of hits (all hits, best hits or top hits).
* Find out the number of hits of a particular database.
* Find out the number of hits of a particular species/phylum/kingdom (not all databases).
* Get an overview of the taxonomic distribution of your BLAST results.
* Extract the top hits from BLAST results.
* Extract the best hits from BLAST results.
* Find the sequences with exactly the same nucleotide-nucleotide homology (identity or match) along an alignment of any length.
* Find the sequences with the best nucleotide-nucleotide or amino acid-amino acid homology (identity or match) along an alignment of any length.
* Find the sequences with any relationship (E values) of identity or match along an alignment of any length.
* Get a view of the “query coverage” of the best hits.
* Get statistics and graphs for the statistical analysis of your BLAST results.
* Create your own BLAST database.
About BlastViewer BlastViewer is an easy-to-use graphical user interface for the analysis of the reports produced by the NCBI BLAST sequence database search system. This program allows you to find:
* Diagnostic tools for all BLAST datasets,
* Similarity, motif and taxonomic distribution of a particular sequence.
BlastViewer:
BlastViewer was designed for everyday biological sequence analysis relying on BLAST. It allows an easy visualisation and analysis of the huge amount of data usualy contained in a BLAST result file.
BlastViewer:
BlastViewer was designed for everyday biological sequence analysis relying on BLAST. It allows an easy visualisation and analysis of the huge amount of data usualy contained in a BLAST result file. It allows you to find:
* Diagnostic tools for all BLAST datasets,
* Similarity, motif and tax
What’s New In BlastViewer?
General
Mac OS X*Target operating system: 10.6 Snow Leopard, 10.5 Lion, 10.4 Tiger, 10.3 Panther, 10.2 Jaguar, 10.1 Panther, 10.0 Tiger, 10.0 Panther, 10.0 Jaguar, 10.0 Tiger, 10.0 Jaguar, 10.0 Panther Target CPU: Intel Core i3, Intel Core i5, Intel Core i7 Processor Target RAM: 2 GB minimum Recommended RAM: 4GB – 8GB Minimum Disk space for build (without installed programs): 0.7 GB – 1.6 GB (*Macs with OS X v10.6 can be compiled with a minimal amount of harddisk, ~700 MB, depending on number of compiler options used during the compilation process.) Minimum available disk space to build: 200 MB (a build of BlastViewer can be downloaded and installed with approx. 100 MB of disk space). If the downloaded build needs more then, it will be downsized.
Download
Download the version for your operating system from our download page.
Please keep in mind that our compilation procedure is new, so if you want to install pre-compiled binaries there are some troubles. You’ll find all informations here.
$ bash./configure
$ make
$ sudo make install
Once this is done, you should be able to find BlastViewer in /usr/local/bin/ within the standalone directory and the corresponding support files (libraries) in /usr/local/lib.
A Copy of the Used Libraries (for compilation)
A list of the libraries used in this compilation, mainly from the included libboost library, will be stored in the following directory:
$ find /usr/local/lib -name \*boost\*
Important
To use the BLAST system on machines with Java runtime environments installed, you might want to keep the installation of Java, either in /usr/bin (earlier versions) or /usr/lib/jvm, which maps Java to /usr/local/bin.
The Java runtime environment can be used as a replacement for the BLAST system with a modified BlastViewer.exe and an appropriate build of the Java runtime environment.
It is suggested that you keep the installation of Java, either in /usr/bin (earlier versions) or /usr/lib/jvm, which maps Java to /usr/local/bin,
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System Requirements For BlastViewer:
1. Xbox One
2. Windows 10
3. A Windows 10 PC with 4GB of system RAM (8GB recommended)
4. Internet connection
5. Web browser
6. Xbox Live Gold membership
7. Xbox One Controller with a headset
8. Storage space for game installation
9. Sony Entertainment Network account
10. PlayStation Network account
11. PlayStation Camera
12. PlayStation Move controllers
13. 60hz monitor
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