NGS sequencing software module SEQNEXT
laboratoryanalysiscapture

NGS sequencing software module
NGS sequencing software module
NGS sequencing software module
NGS sequencing software module
NGS sequencing software module
NGS sequencing software module
NGS sequencing software module
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Characteristics

Applications
laboratory, for NGS sequencing
Function
analysis, capture, for mapping

Description

SEQNEXT is a powerful and user-friendly application for mapping, alignment and variant detection of Next Generation Sequencing data. SEQNEXT can analyse data from all common sequencing platforms and kits (PCR-based, enrichment, sequence capture). Visualisation of all detected variants like deletions, insertions and indels of any length, SNPs, repeat regions as well as CNVs and gene fusions is clear and intuitive. SEQNEXT offers access to public SNP-databases like dbSNP, 1000 Genomes, ClinVar, ExAC and gnomAD for classification and filtering. All result data can be exchanged with our variant database for Shared Experience And Knowledge - varSEAK, transferred to laboratory internal LIM Systems and / or issued as personalised patient reports. NEW Improved Analysis of Virus sequencing data e.g. SARS-CoV-2 Trioanalysis and improved Poolanalysis Sequence Ontology Annotations in the variant table Jumping option to varSEAK and all available external DBs like dbSNP, ClinVar, UK10K, ESP, gnomAD and ExAC Whole Exome Sequencing (WES) analysis Compatible with data from all common Next Generation Sequencing platforms and kits Easy set up of individual target regions (ROIs) via import of bed- or manifest-files based on hg19 and / or hg38 Import of gene lists for filtering and analysis of WES data Analysis of fastq-, fastq.gz- or bam-files Efficient standards for mapping, alignment, quality and variant calling (used algorithms: BWA and Smith-Waterman, adapted by JSI) Personalized settings for analysis and variant calling (≥ 0.1 %) High sensitivity and specificity for detection of deletions, insertions and indels of any length, SNPs, repeat regions as well as CNVs and gene fusions

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