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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
Published on: June 23, 2012
GenomeFLTR: filtering reads made easy
Edo Dotan1, Michael Alburquerque1, Elya Wygoda1
1The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel.
Abstract:
In the last decade, advances in sequencing technology have led to an exponential increase in genomic data. These new data have dramatically changed our understanding of the evolution and function of genes and genomes. Despite improvements in sequencing technologies, identifying contaminated reads remains a complex task for many research groups. Here, we introduce GenomeFLTR, a new web server to filter contaminated reads. Reads are compared against existing sequence databases from various representative organisms to detect potential contaminants. The main features implemented in GenomeFLTR are: (i) automated updating of the relevant databases; (ii) fast comparison of each read against the database; (iii) the ability to create user-specified databases; (iv) a user-friendly interactive dashboard to investigate the origin and frequency of the contaminations; (v) the generation of a contamination-free file. Availability: https://genomefltr.tau.ac.il/.
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