LoFreq* (i.e. LoFreq version 2) is a fast and sensitive variant-caller for inferring SNVs and indels from next-generation sequencing data. It makes full use of base-call qualities and other sources of errors inherent in sequencing (e.g. mapping or base/indel alignment uncertainty), which are usually ignored by other methods or only used for filtering.

LoFreq* can run on almost any type of aligned sequencing data (e.g. Illumina, IonTorrent or Pacbio) since no machine- or sequencing-technology dependent thresholds are used. It automatically adapts to changes in coverage and sequencing quality and can therefore be applied to a variety of data-sets e.g. viral/quasispecies, bacterial, metagenomics or somatic data.

LoFreq* is very sensitive; most notably, it is able to predict variants below the average base-call quality (i.e. sequencing error rate). Each variant call is assigned a p-value which allows for rigorous false positive control. Even though it uses no approximations or heuristics, it is very efficient due to several runtime optimizations and also provides a (pseudo-)parallel implementation. LoFreq* is generic and fast enough to be applied to high-coverage data and large genomes. On a single processor it takes a minute to analyze Dengue genome sequencing data with nearly 4000X coverage, roughly one hour to call SNVs on a 600X coverage E.coli genome and also roughly an hour to run on a 100X coverage human exome dataset.

For more details on the original version of LoFreq see Wilm et al. (2012).

Latest Blog Post:

Where are the FORMAT and SAMPLE fields?

We recently got asked a lot why LoFreq’s VCF output has no FORMAT and SAMPLE columns. The reason for their absence is that they represent genotyping information and current LoFreq versions don’t call genotypes. This shouldn’t stop you from using LoFreq, as genotype information is often not even needed (depending on your analysis). Some downstream tools might required it (e.g. vcf_melt), even though these columns are optional according to the VCF specification (see e.g. section 1.3).

As a workaround, you can just add fake columns in cases where you know that the information is actually not required and for somatic samples you can use ( , which comes with LoFreq (note the pysam dependency). The next versions of LoFreq (2.2) will be able to call genotypes.

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