Difference between revisions of "SEECER"

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(Created page with "{{Bioinformatics application |sw summary=Error correction for RNA-Seq data |bio domain=RNA Seq analysis |bio tech=Illumina, 454, IonTorrent, PacBio |created by=Le H, Schulz MH...")
 
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{{Bioinformatics application
 
{{Bioinformatics application
|sw summary=Error correction for RNA-Seq data
+
|sw summary=Sequence error correction for RNA-Seq data
|bio domain=RNA Seq analysis
+
|bio domain=RNA-Seq quantification
|bio tech=Illumina, 454, IonTorrent, PacBio
+
|bio method=Sequence error correction,
 +
|bio tech=Illumina, 454, Ion Torrent, PacBio,
 
|created by=Le H, Schulz MH, Bar-Joseph Z
 
|created by=Le H, Schulz MH, Bar-Joseph Z
 
|created at=Carnegie Mellon University
 
|created at=Carnegie Mellon University
 
|maintained=Yes
 
|maintained=Yes
|input format=Fasta, Fastq
+
|input format=FASTA, FASTQ,
|output format=Fasta
+
|output format=FASTA
 
|sw feature=supports multicore processors
 
|sw feature=supports multicore processors
 
|language=C
 
|language=C
 
}}
 
}}
 
 
SEECER is an error correction method that removes errors that are introduced during sequencing. Mismatches, insertion or deletions are removed by creating multiple alignments of reads and building HMMs that are used to decide which reads are be corrected. In the provided reference it is shown that error correction with SEECER improves the downstream analysis, especially RNA de novo assembly.
 
SEECER is an error correction method that removes errors that are introduced during sequencing. Mismatches, insertion or deletions are removed by creating multiple alignments of reads and building HMMs that are used to decide which reads are be corrected. In the provided reference it is shown that error correction with SEECER improves the downstream analysis, especially RNA de novo assembly.
 
 
{{Links}}
 
{{Links}}
 
{{References}}
 
{{References}}
 
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Latest revision as of 18:22, 2 December 2015

Application data

Created by Le H, Schulz MH, Bar-Joseph Z
Biological application domain(s) RNA-Seq quantification
Principal bioinformatics method(s) Sequence error correction
Technology Illumina, 454, Ion Torrent, PacBio
Created at Carnegie Mellon University
Maintained? Yes
Input format(s) FASTA, FASTQ
Output format(s) FASTA
Software features supports multicore processors
Programming language(s) C

Summary: Sequence error correction for RNA-Seq data

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SEECER is an error correction method that removes errors that are introduced during sequencing. Mismatches, insertion or deletions are removed by creating multiple alignments of reads and building HMMs that are used to decide which reads are be corrected. In the provided reference it is shown that error correction with SEECER improves the downstream analysis, especially RNA de novo assembly.

Links


References

  1. . 2013. Nucleic Acids Res.


To add a reference for SEECER, enter the PubMed ID in the field below and click 'Add'.

 


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