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Software Description Platform License Developer .NET Bio Language-neutral toolkit built using the Microsoft 4.0 .NET Framework to help developers, researchers, and scientists .NET Framework: Apache: Collaborative project AMPHORA: Metagenomics analysis software Linux: GPL: Jonathan Eisen: Anduril: Component-based workflow framework for data analysis
Results of differential expression analysis can be integrated with ChIP-Seq data to build average tag density profiles and heat maps. The package makes use of several tools open source tools including STAR and DESeq. See also. [72] Chipster is a user-friendly analysis software for high-throughput data. It contains over 350 analysis tools for ...
Central Motif Enrichment Analysis (CentriMo) is a tool for inferring direct DNA binding from ChIP-seq data. CentriMo is based on the observation that the positional distribution of binding sites matching the direct-binding motif tends to be unimodal, well centered and maximal in the precise center of the ChIP-seq peak regions. CentriMo takes a ...
ChIP-sequencing, also known as ChIP-seq, is a method used to analyze protein interactions with DNA. ChIP-seq combines chromatin immunoprecipitation (ChIP) with massively parallel DNA sequencing to identify the binding sites of DNA-associated proteins. It can be used to map global binding sites precisely for any protein of interest.
Accurately performs gapped alignment of sequence data obtained from next-generation sequencing machines (specifically of Solexa-Illumina) back to a genome of any size. Includes adaptor trimming, SNP calling and Bisulfite sequence analysis. Yes, also supports Illumina *_int.txt and *_prb.txt files with all 4 quality scores for each base
List of proprietary bioinformatics software; List of open-source bioinformatics software; Alternatively, here is a categorization according to the respective bioinformatics subfield specialized on: Sequence analysis software. List of sequence alignment software; List of alignment visualization software; Alignment-free sequence analysis
DESeq2 is a software package in the field of bioinformatics and computational biology for the statistical programming language R.It is primarily employed for the analysis of high-throughput RNA sequencing (RNA-seq) data to identify differentially expressed genes between different experimental conditions.
It is also possible to do more complex analysis using such tools like combining multiple ChIP-seq signal to detect regulatory sites. [10] In the context of ChIP-exo, this process is known as 'peak-pair calling'. [11] Differential peak calling is about identifying significant differences in two ChIP-seq signals. One can distinguish between one ...