Setting: Number of 'N's allowed in the reads
Hi, Ben,
I ran Bowtie for reads from Illumina sequencing. It is a very good pieces of software for its high speed and relatively small memory usage. I have two related questions. 1. I wonder if there is a switch in Bowtie to filter out reads that contain more than certain number of 'N' s. 2. How many 'N's in each read (e.g. 35-nt long) do people usually allow for Illumina data? Thank you.
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Hi Ben,
Can Bowtie do DNA methylation aligment? I haven't found in your manual. How to define the parameter?
Thank you!
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Hi Juan,Originally posted by juan View PostHow does Bowtie handle RNA-seq data, has anyone tried? Can it map split reads? Any plans to add split-read mapping functionality?
Check out TopHat (linked to from the sidebar of the Bowtie website). TopHat was written by Cole Trapnell and it implements a layer on top of Bowtie that handles spliced alignments, along with several other aspects of alignment to the transcriptome and calling junctions.
Hope that helps.
Thanks,
Ben
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Hi Ben,Originally posted by Ben Langmead View PostHi Layla,
h_sapiens indexes the NCBI human reference contigs and h_sapiens_asm indexes the NCBI human reference assembly. Take a look at the scripts/make_h_sapiens.sh and scripts/make_h_sapiens_asm.sh files distributed with Bowtie to see exactly what fasta files were indexed and how.
People often prefer the assembly because the coordinates output by bowtie are more immediately useful (e.g., they correspond to the hg18 coordinates in the Genome Browser).
Thanks,
Ben
Thanks for this, I was confused about this as well. Might be a useful tidbit to put near the downloads on your website? Thanks for all the support.
Bowtie rocks!
Lizzy
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Split Read RNA-Seq mapping with bowtie?
How does Bowtie handle RNA-seq data, has anyone tried? Can it map split reads? Any plans to add split-read mapping functionality?
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Hi Layla,
h_sapiens indexes the NCBI human reference contigs and h_sapiens_asm indexes the NCBI human reference assembly. Take a look at the scripts/make_h_sapiens.sh and scripts/make_h_sapiens_asm.sh files distributed with Bowtie to see exactly what fasta files were indexed and how.
People often prefer the assembly because the coordinates output by bowtie are more immediately useful (e.g., they correspond to the hg18 coordinates in the Genome Browser).
Thanks,
Ben
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Im a newbie to Bowtie....tired of the counting down the hours using MAQ.
Currently building an index using Bowtie. What is the difference between
h_sapiens_asm.ebwt.zip and
h_sapiens.ebwt.zip
Thanks
L
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Hi Lizzy,
I'd expect, oh, about 7-8 hours or so. Did it finish?
Thanks,
Ben
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Indexing human genome?
Hi!
I'm working on building an index of human genome locally and I was wondering how long this usually takes? Its been running for about 3 hrs, just wondering what to expect. I'm on a MAC dual core with 4GB ram.
Thanks!
Lizzy
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When Bowtie indexes the reference, it elides non-A/C/G/T characters. So if you index a reference with stretches of Ns, Bowtie will never report an alignment spanning any of the stretches.Originally posted by davisc View PostI would like to know how Bowtie handles N's in the indices? I am wondering if it is possible to cut down the mapping time by building and mapping against a repeatmasked version of the genome?
And yes, mapping against the repeatmasked version of the genome (and omitting -m 1) ought to be noticeably faster.
Ben
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Question about RepeatMasked hg18 index
I'm doing RNA-Seq on human samples. In many instances I am mapping using the -m1 -v2 --best criteria to the preassembled hg18.asm index available on the download site. I would like to know how Bowtie handles N's in the indices? I am wondering if it is possible to cut down the mapping time by building and mapping against a repeatmasked version of the genome?
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Hi boinfosm,
That shouldn't be the case. When only --un is used (as opposed to both --un and --max), both the unaligned reads and the reads with a number of alignments exceeding the -m limit will go into the --un file. But you're not using the -m option, so no reads should be suppressed due to multiple alignments.Originally posted by bioinfosm View PostThe total of leftover and mapped is less than what we started with. Are the remaining reads mapping to multiple locations, and thus omitted in both these files?
How are you counting the number of reads in your input set? Note that grep -c '^@' isn't necessarily correct because quality strings can also start with @.
Thanks,
Ben
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I wanted to discuss a use-case:
A collection of 172 million reads ranging from 36 to 76 base long was used with bowtie to map to a reference.
$ ./bowtie --best --un leftover -p 4 -t reference reads mapped
$ grep -c '^@' leftover
154828705
$ wc -l mapped
16269083 mapped
The total of leftover and mapped is less than what we started with. Are the remaining reads mapping to multiple locations, and thus omitted in both these files?
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