Telescoper

De novo assembly algorithm.

Brought to you by: mbresler, yssong

Last Update: 2016-09-22

Browse Code

Get an email when there's a new version of Telescoper

This software implements the algorithms described in the following paper:

Bresler, M., Sheehan, S., Chan, A.H., and Song, Y.S. Telescoper: De novo Assembly of Highly Repetitive Regions. ECCB'12 Special Issue, Bioinformatics 28 (2012) i311-i317.

Project Activity

See All Activity >

Follow Telescoper

Telescoper Web Site

Other Useful Business Software

MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.

Start Free

Additional Project Details

Registered

2012-03-31

Report inappropriate content

Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.

Try It Free

Recommended Projects

ngopt
de novo assembly & analysis of Illumina sequence data
PRICE de novo (meta)genome assembler
Targeted de novo assembly of (meta)genomic components
Citrus
Citrus: Editing HiC data for de novo genome assembly
SOAPdenovo2
Large-size genome de-novo assembler
SPSS R-Menu
This project stores all the updates to the SPSS R Menu described in the paper: Mário Basto, José Manuel Pereira: “An SPSS R-Menu for Ordinal Factor Analysis”, Journal of Statistical Software, Vol. 46, Issue 4, Jan 2012, http://www.jstatsoft.org/v46/i04 For difficulties concerning the installation of the Menu in SPSS, see the paper of Matthew Courtney at http://pareonline.net/pdf/v18n8.pdf