Wikiomics:Repeat finding

From OpenWetWare

(Difference between revisions)
Jump to: navigation, search
(ReAS)
m (Installation: minus dot..)
Line 140: Line 140:
* open N_matchreads.cpp and add line below i.e. after "#include<time.h>":
* open N_matchreads.cpp and add line below i.e. after "#include<time.h>":
<pre>
<pre>
-
#include <cmath>.
+
#include <cmath>
</pre>
</pre>
* compile ReAS
* compile ReAS
Line 151: Line 151:
export PATH=/your/path/to/ReAS_2.02/bin/:$PATH
export PATH=/your/path/to/ReAS_2.02/bin/:$PATH
</pre>
</pre>
 +
====Usage====
====Usage====
For time being:
For time being:

Revision as of 14:58, 7 April 2010


To simplify, this page assumes eukaryotic genomic DNA repeat finding.

Repeat finding can be divided into two tasks, depending on availability of repeat library:

A) Library exists for a given (or possibly closely related species)

or

B) you construct such library de novo.


Task A is usually a prerequisite step for genome annotation and even blast searches. For newly sequences genomes one should start with B (constructing species specific repeat library).


Contents

Detecting known repeats

Most comonly used: Repeatmasker

RepeatMasker


  • Online web server [1]
  • command line

You have to have a FastA file (it can be multiple FastA). Type:

repmask your_sequence_in_fasta_format

You will get a file: your_sequence_in_fasta_format.masked --- name tells all

species options (choose only one):

-m(us) masks rodent specific and mammalian wide repeats
-rod(ent) same as -mus
-mam(mal) masks repeats found in non-primate, non-rodent mammals
-ar(abidopsis) masks repeats found in Arabidopsis
-dr(osophila) masks repeats found in Drosophilas
-el(egans) masks repeats found in C. elegans

De novo repeat library construction

For programs recommendations based on test see: Saha et al. Empirical comparison of ab initio repeat finding programs (2008)

For an extensive review listing tens of programs: Lerat E.Identifying repeats and transposable elements in sequenced genomes: how to find your way through the dense forest of programs (Nov 2009)

Consensus Based

One has to have at least a draft of the genome or multiple genomic sequences.

RepeatScout

command line only, requires compilation

Site: http://bix.ucsd.edu/repeatscout/

current version (2010-03): 1.05

Documentation:


Simplest run:

  • build frequency table
build_lmer_table -sequence input_genome_sequence.fas -freq output_lmer.frequency

output_lmer.frequency file can be still quite large (1.7Gb for 900Mb fasta file)

  • create fasta file containing all kinds of repeats
RepeatScout -sequence input_genome_sequence.fas -output output_repeats.fas  -freq output_lmer.frequency

Resources:

    • RAM usage (RepeatScout): > 17Gb for 800Mb genomic sequence.
    • 9.6h Xeon E7450 @ 2.40GHz

The output (output_repeats.fas) is a fasta file with headers (>R=1, >R=232 etc.). It contains also trivial simple repeats (CACACA...), tandem repeats

  • filter out short (<50bp) sequences. Remove "anything that is over 50% low-complexity vis a vis TRF or NSEG.". Perl script.

It does require trg and nseg to be on the PATH, or setting env variables TRF_COMMAND and NSEG_COMMAND pointing to their location

 
filter-stage-1.prl output_repeats.fas > output_repeats.fas.filtered_1 

this prints tons of messages


  • run RepeatMasker on your genome of interest using filtered RepeatScout library
 RepeatMasker  input_genome_sequence.fas -lib output_repeats.fas.filtered_1

This is a very long step (36h for 800Mb draft genome) when run in such default mode. See discussion for this page for possible, but so far untested speedups.

Output used for the next step: input_genome_sequence.fas.out

  • filtering putative repeats by copy number. By default only sequences occurring > 10 times in the genome are kept


 cat output_repeats.fas.filtered_1  | filter-stage-2.prl --cat=input_genome_sequence.fas.out > output_repeats.fas.filtered_2

Fast (< 1min ). You can modify the filter using i.e. "--thresh=20" (only repeats occurring 20+ times will be kept)

Input Reads

This is pre-assembly repeat finding method.

ReAS

Paper

Installation

tar xfvz ReAS_2.02.tar.gz; cd ReAS_2.02/code
  • open N_matchreads.cpp and add line below i.e. after "#include<time.h>":
#include <cmath>
  • compile ReAS
make; make install

You will get binaries + perl modules in ReAS_2.02/bin

  • Put them on $PATH (bash)
export PATH=/your/path/to/ReAS_2.02/bin/:$PATH

Usage

For time being:

  • read 00readme located in ReAS_2.02/code


For pages on similar topics visit: Wikiomics@OpenWetWare

Personal tools