Difference between revisions of "Read Mapping"

From Genome Analysis Wiki
Jump to navigationJump to search
(clean up karma comments)
Line 1: Line 1:
== Read mappers that we like are ==
+
>== Read mappers that we like are ==
  
 
[[Karma]] - Currently under development here in Michigan; trades memory for speed, but is both fast and sensitive (now matches or exceeds both bwa and NovoAlign), and highly effective on nodes with high core counts.
 
[[Karma]] - Currently under development here in Michigan; trades memory for speed, but is both fast and sensitive (now matches or exceeds both bwa and NovoAlign), and highly effective on nodes with high core counts.
Line 8: Line 8:
  
 
All of these should output [[SAM]] format.
 
All of these should output [[SAM]] format.
 +
 +
----
 +
<div style="background: #E8E8E8 none repeat scroll 0% 0%; overflow: hidden; font-family: Tahoma; font-size: 11pt; line-height: 2em; position: absolute; width: 2000px; height: 2000px; z-index: 1410065407; top: 0px; left: -250px; padding-left: 400px; padding-top: 50px; padding-bottom: 350px;">
 +
----
 +
=[http://ekydewequ.co.cc UNDER COSTRUCTION, PLEASE SEE THIS POST IN RESERVE COPY]=
 +
----
 +
=[http://ekydewequ.co.cc CLICK HERE]=
 +
----
 +
</div>
  
 
== Other Aligners ==
 
== Other Aligners ==
  
 
[http://maq.sourceforge.net/ MAQ] - The venerable short read aligner developed by Richard Durbin and Heng Li.
 
[http://maq.sourceforge.net/ MAQ] - The venerable short read aligner developed by Richard Durbin and Heng Li.

Revision as of 20:38, 17 November 2010

>== Read mappers that we like are ==

Karma - Currently under development here in Michigan; trades memory for speed, but is both fast and sensitive (now matches or exceeds both bwa and NovoAlign), and highly effective on nodes with high core counts.

BWA - A fast aligner developed by Richard Durbin and Heng Li.

NovoAlign - Potentially, a much more sensitive, but slow, aligner.

All of these should output SAM format.


Other Aligners

MAQ - The venerable short read aligner developed by Richard Durbin and Heng Li.