Effectiveness of which one are you asking about - cloud computing in general or hadoop?
Cloud computing basically allows you to rent computer time from some company managing the hardware. To an user, it is nothing different from using a local supercomputing facility at the university or other place.
Hadoop is a different paradigm and has been useful for large data. You can even set it locally and do not need cloud computing for it. I have few posts on hadoop for bioinformatics.
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Such an amazing post! This is an interesting thread. I wonder how effective this cloud computing is.
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Hi all,
I managed to get contrail up and running.
Here is how to run the program on the test case provided by Schatz.
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has anyone gotten this up and running? does it read raw sequence files? so many questions!
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Originally posted by jjv5 View PostThe source code has been released but it does not look like one could just run it. No documentation, no hints. Any word on when a usable version might be available?
Michael Schatz (Cold Spring Harbor Laboratory)
"Cloud Computing and the DNA Data Race: Theory and Practice."
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The source code has been released but it does not look like one could just run it. No documentation, no hints. Any word on when a usable version might be available?
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I am also wondering if this assembler is written in entirely in Java. Isn't that a Hadoop requirement?
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does anyone know when the first release of Contrail is scheduled?
The quality of software coming from the Salzberg and Pop labs has been very high. Despite the inelegant name, I am really looking forward to seeing how Contrail compares with Velvet, Abyss, SOAPdenovo, etc..Last edited by Zigster; 01-11-2010, 10:34 AM.
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Assembly of Large Genomes using Cloud Computing by Contrail
I have found a new software (the code source is not available yet) for large genomes assembly(http://sourceforge.net/projects/contrail-bio/). It relies on Hadoop to iteratively transform an on-disk representation of the assembly graph, allowing an in depth analysis even for large genomes, which can reduce the memory requirement. Contrails also use de Brujin graph strategy to do the short reads assembly.
for more see the wiki: http://sourceforge.net/apps/mediawik...title=Contrail
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Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...-
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Despite advancements in sequencing platforms and related sample preparation technologies, certain sample types continue to present significant challenges that can compromise sequencing results. Pedro Echave, Senior Manager of the Global Business Segment at Revvity, explained that the success of a sequencing experiment ultimately depends on the amount and integrity of the nucleic acid template (RNA or DNA) obtained from a sample. “The better the quality of the nucleic acid isolated...-
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