diffReps is developed to find different peaks in ChIP-seq. It scans the whole genome using a sliding window, performing millions of statistical tests and report the significant hits. diffReps takes into account the biological variations within a group of samples and uses that informatio...
SeqSite is an efficient and easy-to-use software tool implementing a novel method for identifying and pinpointing transcription factor binding sites. It first detects transcription factor binding regions by clustering tags and statistical hypothesis testing, and locates every binding si...
The ChIP-Seq web server provides access to a set of useful tools performing common ChIP-Seq data analysis tasks, including positional correlation analysis, peak detection, and genome partitioning into signal-rich and signal-poor regions. It is an open system designed to allow interopera...
Strand NGS formerly Avadis NGS is a desktop software platform for alignment, analysis, visualization, and management of data generated by next-generation sequencing (NGS) platforms. It supports workflows for RNA-Seq, DNA-Seq, small RNA-Seq, ChIP-Seq, and Methyl-Seq data analysis. Strand...
The Genomatix Mining Station (GMS) offers mapping of NGS reads onto genomes, transcriptomes and splice-junction libraries. It is a client-server based solution and can be controlled through an intuitive GUI or via command-line. It covers different tasks such as, as genomic positioning, ...
Samscope is a lightweight SAM/BAM file viewer that makes visually exploring next generation sequencing data as intuitive as Google Maps. Samscope uses multiple layers to simultaneously (or sequentially) view SAM/BAM related features like coverage or allele frequency, or ChIP-SEQ feature...
Syapse is a platform and application suite for bringing together omics and clinical data.
标签:Allele-specific transcription,DNA methylation, DNA-Seq,InDel discovery, SNP discovery, Structural variation, RNA-Seq, Small RNA transcriptome, ChIP-Seq,Comparative genomics,Comparative transcriptomics,Epigenomics, Genomics,Personal genomics, Population ge