• Join/Login
  • Business Software
  • Open Source Software
  • For Vendors
  • Blog
  • About
  • More
    • Articles
    • Create
    • SourceForge Podcast
    • Site Documentation
    • Subscribe to our Newsletter
    • Support Request
SourceForge logo
For Vendors Help Create Join Login
SourceForge logo
Business Software
Open Source Software
SourceForge Podcast
Resources
  • Articles
  • Case Studies
  • Blog
Menu
  • Help
  • Create
  • Join
  • Login
  • Home
  • Open Source Software
  • estMOI
  • Files

estMOI Files

estimating Multiplicity Of Infection using short read sequence data

Brought to you by: markdpreston1, sa4
  • Summary
  • Files
  • Reviews
  • Support
Home
Name Modified Size InfoDownloads / Week
userManual_estMOI.pdf 2013-11-14 98.9 kB
0
estMOI_1.01 2013-11-14 13.7 kB
0
reRun_estMOI_1.01 2013-11-13 2.4 kB
0
Totals: 3 Items   115.1 kB 0
Other Useful Business Software
$300 Free Credits to Build on Google Cloud Icon
$300 Free Credits to Build on Google Cloud

New customers can spin up VMs, build with AI, and query data at no cost.

Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
Start Free
MongoDB Atlas runs apps anywhere Icon
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
$300 Free Credits to Build on Google Cloud Icon
$300 Free Credits to Build on Google Cloud

New customers can spin up VMs, build with AI, and query data at no cost.

Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
Start Free
Recommended Projects
  • Bowtie
    Bowtie, an ultrafast, memory-efficient short read aligner for short DNA sequences (reads) from next-gen sequencers. Please cite: Langmead B, et al. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol 10:R25.
  • ligth-genome-view
    small genome viewer local wxWidget c++
  • Hadoop-BAM
    Hadoop-BAM is a Java library for the manipulation of files in common bioinformatics formats using the Hadoop MapReduce framework with the Picard SAM JDK, and command line tools similar to SAMtools. The file formats currently supported are BAM, SAM, FASTQ, FASTA, QSEQ, BCF, and VCF. For a longer high-level description of Hadoop-BAM, refer to the article "Hadoop-BAM: directly manipulating next generation sequencing data in the cloud" in Bioinformatics Volume 28 Issue 6 pp. 876-877, available online at: http://dx.doi.org/10.1093/bioinformatics/bts054 Note that the library part of Hadoop-BAM is mainly for developers with experience in using Hadoop. The command line tools of Hadoop-BAM should be understandable to all users, but they are limited in scope. See the SeqPig project for a higher-level interface to the file formats supported by Hadoop-BAM: http://seqpig.sourceforge.net See Seal for Hadoop-based read alignment tools, Seal: http://biodoop-seal.sourceforge.net
  • Burrows-Wheeler Aligner
    BWA is a program for aligning sequencing reads against a large reference genome (e.g. human genome). It has two major components, one for read shorter than 150bp and the other for longer reads.
  • Hierachical_DNAcoder
    An Hierachical Approach to Multi-Reference Genome compression
SourceForge
  • Create a Project
  • Open Source Software
  • Business Software
  • Top Downloaded Projects
Company
  • About
  • Team
  • SourceForge Headquarters
    1320 Columbia Street Suite 310
    San Diego, CA 92101
    +1 (858) 422-6466
Resources
  • Support
  • Site Documentation
  • Site Status
  • SourceForge Reviews
SourceForge logo
© 2026 Slashdot Media. All Rights Reserved.
Terms Privacy Opt Out Advertise
MongoDB Logo MongoDB