Search Results for "caller"

Now in Github: https://github.com/dnaase/Bis-tools/tree/master/Bis-SNP BisSNP is a package based on the Genome Analysis Toolkit (GATK) map-reduce framework for genotyping in bisulfite treated massively parallel sequencing (Bisulfite-seq, NOMe-seq and RRBS) on Illumina platform. It uses bayesian inference with either manually specified or automatically estimated methylation probabilities of different cytosine context(not only CpG, CHH, CHG in Bisulfite-seq, but also GCH et.al. in other...

HBS Analyzer is a methylation calling tool for hairpin-bisulfite sequencing data. HBS Analyzer can accept raw hairpin-bisulfite sequencing data in FASTA or FASTQ format, align the paired end reads to the reference genome and call methylation. Given the double stranded nature of the data that is used, HBS analyzer can identify errors caused by PCR and sequencing along with identifying hemi-methylated sites. This error information is also considered while making the methylation call and hence...

HBS Analyzer is a methylation calling tool for hairpin-bisulfite sequencing data. HBS Analyzer can accept raw hairpin-bisulfite sequencing data in FASTA or FASTQ format, align the paired end reads to the reference genome and call methylation. Given the double stranded nature of the data that is used, HBS analyzer can identify errors caused by PCR and sequencing along with identifying hemi-methylated sites. This error information is also considered while making the methylation call and hence...

The Base Calling with Vocabulary (BCV) software package is intended for analysis of direct (population) sequencing chromatograms using known vocabulary sequences similar to the target DNA. The current version of BCV can only process chromatogram files obtained on Applied Biosystems capillary sequencing machines (ABIF file format).

SIPeS - Site Identification from Paired-end Sequencing

Conrad is both a high performance Conditional Random Field engine which can be applied to a variety of machine learning problems and a specific set of models for gene prediction using semi-Markov CRFs.