NovelSeq 1.0.2 – Novel Sequence Insertions Detection

NovelSeq 1.0.2

:: DESCRIPTION

NovelSeq is a computational framework to discover the content and location of long novel sequence insertions using paired-end sequencing data generated by the next-generation sequencing platforms. Our framework can be built as part of a general sequence analysis pipeline to discover multiple types of genetic variation (SNPs, structural variation, etc.), thus it requires significantly less-computational resources than de novo sequence assembly. We apply our methods to detect novel sequence insertions in the genome of an anonymous donor and validate our results by comparing with the insertions discovered in the same genome using various sources of sequence data.

::DEVELOPER

Lab for Bioinformatics and Computational Genomics

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/Windows/MacOsX
  • C Complier

:: DOWNLOAD

 NovelSeq

:: MORE INFORMATION

Detection and characterization of novel sequence insertions using paired-end next-generation sequencing
Iman Hajirasouliha, Fereydoun Hormozdiari, Can Alkan, Jeffrey M. Kidd, Inanc Birol, Evan E. Eichler, S. Cenk Sahinalp
Bioinformatics 2010 26(10):1277-1283

Figaro 1.05 – Novel Vector Trimming software

Figaro 1.05

:: DESCRIPTION

Figaro is a software tool for identifying and removing the vector from raw DNA sequence data without prior knowledge of the vector sequence. By statistically modeling short oligonucleotide frequencies within a set of reads, Figaro is able to determine which DNA words are most likely associated with vector sequence.

::DEVELOPER

Figaro Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 Figaro

:: MORE INFORMATION

Citation:

James Robert White, Michael Roberts, James A. Yorke and Mihai Pop
Figaro: a novel statistical method for vector sequence removal
Bioinformatics (2008) 24 (4): 462-467.