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Automated cleaning and pre-processing of immunoglobulin gene sequences from high-throughput sequencing

Overview of attention for article published in Frontiers in immunology, January 2012
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Title
Automated cleaning and pre-processing of immunoglobulin gene sequences from high-throughput sequencing
Published in
Frontiers in immunology, January 2012
DOI 10.3389/fimmu.2012.00386
Pubmed ID
Authors

Miri Michaeli, Hila Noga, Hilla Tabibian-Keissar, Iris Barshack, Ramit Mehr

Abstract

High-throughput sequencing (HTS) yields tens of thousands to millions of sequences that require a large amount of pre-processing work to clean various artifacts. Such cleaning cannot be performed manually. Existing programs are not suitable for immunoglobulin (Ig) genes, which are variable and often highly mutated. This paper describes Ig High-Throughput Sequencing Cleaner (Ig-HTS-Cleaner), a program containing a simple cleaning procedure that successfully deals with pre-processing of Ig sequences derived from HTS, and Ig Insertion-Deletion Identifier (Ig-Indel-Identifier), a program for identifying legitimate and artifact insertions and/or deletions (indels). Our programs were designed for analyzing Ig gene sequences obtained by 454 sequencing, but they are applicable to all types of sequences and sequencing platforms. Ig-HTS-Cleaner and Ig-Indel-Identifier have been implemented in Java and saved as executable JAR files, supported on Linux and MS Windows. No special requirements are needed in order to run the programs, except for correctly constructing the input files as explained in the text. The programs' performance has been tested and validated on real and simulated data sets.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
United States 1 2%
Netherlands 1 2%
Taiwan 1 2%
Unknown 42 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 41%
Student > Ph. D. Student 9 20%
Student > Master 7 15%
Professor 5 11%
Student > Bachelor 1 2%
Other 4 9%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 54%
Biochemistry, Genetics and Molecular Biology 5 11%
Medicine and Dentistry 5 11%
Immunology and Microbiology 5 11%
Arts and Humanities 1 2%
Other 3 7%
Unknown 2 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 December 2012.
All research outputs
#22,759,802
of 25,374,647 outputs
Outputs from Frontiers in immunology
#27,421
of 31,520 outputs
Outputs of similar age
#228,486
of 250,100 outputs
Outputs of similar age from Frontiers in immunology
#161
of 275 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,520 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 250,100 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 275 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.