Free ncbi blast software for linux

Alien Blaster project is an action-loaded 2D arcade shooter game for up to two players.
alienblaster is an action-loaded 2D arcade shooter game.
Your mission in the game is simple: stop the invasion of the aliens by blasting them.
Simultaneous two-player mode is available.
Main features:
- many aliens to blast
- a big bad boss
- different weapons
- special items
- cooperative mode (2 players playing on 1 computer)
- gamepad/joystick support
- arcade mode with highscore
- open source
- published under GPL
- runs with Windows and Linux

Bio::Index::Blast is a Perl module with indexes Blast reports and supports retrieval based on query accession(s).

SYNOPSIS

use strict;
use Bio::Index::Blast;
my ($indexfile,$file1, $file2);
my $index = new Bio::Index::Blast(-filename => $indexfile,
-write_flag => 1);
$index->make_index($file1, $file2);

my $id;
my $data = $index->get_stream($id);

my $bplite_report = $index->fetch_report($id);
print "query is ", $bplite_report->query, "n";
while( my $sbjct = $bplite_report->nextSbjct ) {
print $sbjct->name, "n";
while( my $hsp = $sbjct->nextHSP ) {
print "t e-value ", $hsp->P,
}
print "n";
}

This object allows one to build an index on a blast file (or files) and provide quick access to the blast report for that accession. Note: for best results use strict.

The Bioinformatics Benchmark System is an attempt to build a reasonable testing framework, tests, and data, to enable end users and vendors to probe the performance of their systems.

What we are trying to do is to create a framework for testing, and a core set of tests that all may download and use to probe specific elements of systems performance.

Moreover, the source to these tests are available under GPL, and are hosted on Bioinformatics.org and Scalable Informatics LLC The idea is to enable end users, consumers, systems developers, and others to easily build and use meaningful tests for measurement and tuning reasons.

Joe Landman from Scalable Informatics LLC conceived the idea and wrote the original codes. We are looking for additional benchmark code suggestions, tests, data sets, etc.

Current baseline tests are several NCBI BLAST runs, several HMMer runs, and a variety of others. We plan to include ClustalW, X!Tandem, various chemistry, dynamics, and related tests, as well as several others.

Tests such as LINPACK or HPL simply do not provide meaningful performance indicators or predictive models for high performance informatics. Unfortunately, nor do a number of more recent and focused tests.

This is a problem as LINPACK and HPL specifically test the performance on various matrix operations, where you have effectively regular memory access patterns, and specific mathematical operations.

These codes are most useful for comparison to codes with heavy floating point operations, and interleaved memory traffic. These codes were not designed for comprehensive systems benchmarking, where disk I/O, memory latency, and other factors all contribute to the performance issues.

The best tests are the ones that are most similar to the codes you will run on the machine. The tests themselves should be reasonable approximations to a real execution of your code, using real data. You may need to pare it back in order to get realistic run times.

You should have a reasonable subset of data sizes. A single test does not tell you how your system scales, and one of the reasons for the existance of this test is specifically to allow you to test the performance while you increase various aspects of the workload.

You rarely get a quiescent system in a cluster, so we would recommend that you try to run in as realistic an operating environment as possible. A baseline in a quiescent system is fine, but it may set your expectations unreasonably.
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Sequence Analysis project is a collage of coding projects which I have written over the past several years for various clients in my work as a bioinformatics consultant.

These clients have graciously allowed me to release these works into the public domain as freeware for Macintosh OS X in order to promote the platform and to encourage migration from Classic.

The upper window panel can hold several sequences, which are both editable and selectable. The tabs in the lower analysis panel try to keep up with the current sequence selection to provide immediate feedback. The selection is used in some modules as only the portion being analyzed for other modules i.e. Digest is used to determine if enzymes cut in the in or outside of the selection.

Most commonly available sequence formats have been reverse engineered. You can also access a sequences from the NCBI via its GID or UID. This currently cannot be done from behind a firewall.

Most of the analyses are simple enough that they are obvious to use, Composition, pI. Others could stand some documenation i.e. Pairwise and Primer Design. The Publish tab uses a string to control the layout. Click on the Legend button for some help.

Bioperl project is a collection of perl modules that facilitate the development of perl scripts for bioinformatics applications. As such, it does not include ready to use programs in the sense that many commercial packages and free web-based interfaces do (e.g. Entrez, SRS).
On the other hand, bioperl does provide reusable perl modules that facilitate writing perl scripts for sequence manipulation, accessing of databases using a range of data formats and execution and parsing of the results of various molecular biology programs including Blast, clustalw, TCoffee, genscan, ESTscan and HMMER. Consequently, bioperl enables developing scripts that can analyze large quantities of sequence data in ways that are typically difficult or impossible with web based systems.
In order to take advantage of bioperl, the user needs a basic understanding of the perl programming language including an understanding of how to use perl references, modules, objects and methods. If these concepts are unfamiliar the user is referred to any of the various introductory or intermediate books on perl.
Weve liked S. Holzmers Perl Core Language, Coriolis Technology Press, for example. This tutorial is not intended to teach the fundamentals of perl to those with little or no experience in the perl language. On the other hand, advanced knowledge of perl - such as how to write a object-oriented perl module - is not required for successfully using bioperl.
Bioperl is open source software that is still under active development. The advantages of open source software are well known. They include the ability to freely examine and modify source code and exemption from software licensing fees.
However, since open source software is typically developed by a large number of volunteer programmers, the resulting code is often not as clearly organized and its user interface not as standardized as in a mature commercial product.
In addition, in any project under active development, documentation may not keep up with the development of new features. Consequently the learning curve for actively developed, open source source software is sometimes steep.
Enhancements:
- Many bugfixes and enhancements were made, including support for parsing the latest NCBI BLAST text format changes, PAML 3.15 support, a Taxonomy (Bio::Species) overhaul, a Bio::Map overhaul, a Bio::SearchIO speedup, the introduction of a Build.PL installation system, and fixes for some memory leaks in Bio::Tree.
- This version requires Perl 5.6.1 or later.

BioBrew Linux is an open source Linux distribution that is enhanced for life scientists. It is customized for cluster and bioinformatics computing. It automates cluster installation, includes all the HPC software a cluster enthusiast needs, and contains popular bioinformatics applications.

BioBrew Linux is an open source Linux distribution based on the NPACI Rocks cluster software and enhanced for bioinformaticists and life scientists. While it looks, feels, and operates like ordinary Red Hat Linux, BioBrew Linux includes popular cluster software e.g. MPICH, LAM-MPI, PVM, Modules, PVFS, Myrinet GM, Sun Grid Engine, gcc, Ganglia, and Globus, *and* popular bioinformatics software e.g. the NCBI toolkit, BLAST, mpiBLAST, HMMER, ClustalW, GROMACS, PHYLIP, WISE, FASTA, and EMBOSS.

It runs on everything from notebook computers to large clusters. BioBrew Linux for the Itanium architecture is only available for purchase at this time through Callident. Please contact Brewmeister Glen Otero for information regarding BioBrew Linux on Itanium.

Geneious project is a unique, easy to use software system that greatly speeds up and simplifies research in molecular biology and biochemistry.
Currently the great majority of researchers time is taken up with comparatively repetitive drudgery: sifting through publicly available sequence and publication databases, downloading gene sequences and then massaging the data through a series of file formats and difficult-to-use specialist programs.
This whole process is usually repeated numerous times during a research project as requirements change or new data comes to hand.
As a result, after publication researchers find their work out-dates rapidly as new data become available.
Geneious has been developed with a view to changing all that by making data management, organization and filtering easy, rapid and automatic.
Main features:
- A local database to store sequences and publications
- Storage of abstracts and bibliographic information
- Direct links to Google scholar
- Storage of sequence data
- User-defined notes
- Rapid sequence similarity searching within your local database
- Direct access to NCBI, EBI databases
- A unique ability to refine and filter information on the fly as it downloads
- Ability to automate searches so that the data relevant to your research is constantly kept up-to-date
- A graphical viewer of sequence annotations such as genes, motifs and primer positions
- A multiple alignment viewer
- Very simple user-friendly interface
- Easy and fast to download, at no cost
Enhancements:
- Support for multiple concurrent licenses was streamlined.