Detects breakpoints of large deletions and medium sized insertions from paired-end short reads. Pindel is a program that uses pattern growth algorithm to identify the break points of large deletions (1 bp–10 kb) and medium sized insertions (1–20 bp) from 36 bp paired-end short reads. The software can be useful for addressing the structural variations between individuals from next-gen high throughput sequencing.
A Perl/C++ package that provides genome-wide detection of structural variants from next generation paired-end sequencing reads. BreakDancer sensitively and accurately detected indels ranging from 10 base pairs to 1 megabase pair that are difficult to detect via a single conventional approach.
Allows structural variant (SV) discovery. LUMPY is a general probabilistic SV discovery framework that integrates multiple SV detection signals, including those generated from read alignments or prior evidence. The software is based upon a general probabilistic representation of an SV breakpoint that allows any number of alignment signals to be integrated into a single discovery process. It can detect SV from multiple alignment signals in files from one or more samples. A simplified wrapper for standard analyses, LUMPY Express, can also be executed.
Detects and visualizes structural variation from paired-end mapping data. Under this scheme, abnormally mapped read pairs are clustered based on the location of a gap signature. Several important features, including local depth of coverage, mapping quality and associated tandem repeat, are used to evaluate the quality of predicted structural variation. Compared with other approaches, it can detect many more large insertions and complex variants with lower false discovery rate. Moreover, inGAP-sv, written in Java programming language, provides a user-friendly interface and can be performed in multiple operating systems.
Identifies genomic structural variations from paired-end and mate-pair sequencing data. SVDetect isolates and predicts intra- and inter-chromosomal rearrangements from paired-end/mate-pair sequencing furnished by the high-throughput sequencing technologies. This software proceeds first by collecting all pairs that are suspected to come from the same structural variant (SV). It then employs a sliding-window strategy to detect all groups of pairs sharing similar genomic location.
A versatile variant caller for both DNA- and RNA-sequencing data. VarDict contains many features that are distinct from other variant callers, including linear performance to depth, intrinsic local realignment, built-in capability of de-duplication, detection of polymerase chain reaction (PCR) artifacts, accepting both DNA- and RNA-seq, paired analysis to detect variant frequency shifts alongside somatic and loss of heterozygosity (LOH) variant detection and structural variant (SV) calling. VarDict facilitates application of next-generation sequencing in cancer research, enabling researchers to use one tool in place of an alternative computationally expensive ensemble of tools.
Assists users in discovering and scoring structural variants (SVs), medium-sized indels and large insertions. Manta was developed to discover variants from a sequencing assay’s paired and split-read mapping information. It automates estimation of insert size distribution and exclusion of high depth reference compression regions. This method also includes scoring models for germline analysis of diploid individuals and somatic analysis of tumor-normal sample pairs.