LCR-eXXXplorer – Search, Visualize and Share data for low Complexity Regions in Protein sequence

LCR-eXXXplorer

:: DESCRIPTION

LCR-eXXXplorer is a web-service designed to assist biologists in displaying, searching and sharing Low Complexity Regions (LCRs) contained within protein sequences.

::DEVELOPER

LCR-eXXXplorer team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation:

LCR-eXXXplorer: a web platform to search, visualize and share data for low complexity regions in protein sequences.
Kirmitzoglou I, Promponas VJ.
Bioinformatics. 2015 Feb 20. pii: btv115.

LabKey Server 21.7 – Organize, Analyze, and Share Biomedical Research data

LabKey Server 21.7

:: DESCRIPTION

LabKey Server is open source software that helps scientists organize, analyze, and share biomedical research data.

::DEVELOPER

LabKey Team

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows / Linux / MacOsX
  • Apache Tomcat web server
  • SQL Server

:: DOWNLOAD

 LabKey Server

:: MORE INFORMATION

Citation

Elizabeth K Nelson et al.
LabKey Server: An open source platform for scientific data integration, analysis and collaboration
BMC Bioinformatics. 2011; 12: 71.

SequenceServer 2.0.0.rc8 – Set up a Local BLAST Web Server to Search & Share Sequence data

SequenceServer 2.0.0.rc8

:: DESCRIPTION

SequenceServer lets you rapidly set up a BLAST+ server with an intuitive user interface for use locally or over the web.

::DEVELOPER

Wurm Lab

:: SCREENSHOTS

:: REQUIREMENTS

:: DOWNLOAD

 SequenceServer

:: MORE INFORMATION

Citation

Sequenceserver: a modern graphical user interface for custom BLAST databases
Anurag Priyam, Ben J Woodcroft, Vivek Rai, Alekhya Munagala, Ismail Moghul, Filip Ter, Mark Anthony Gibbins, HongKee Moon, Guy Leonard, Wolfgang Rumpf, Yannick Wurm
doi: http://dx.doi.org/10.1101/033142

SHARE 1.1.0 – Multi-locus Analysis

SHARE 1.1.0

:: DESCRIPTION

SHARE (SNP-Haplotype Adaptive Regression) is an R code to perform multi-locus analysis in order to account for LD patterns observed in human genome.

::DEVELOPER

James Dai (jdai@scharp.org) ,Charles Kooperberg

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 SHARE 

:: MORE INFORMATION

Citation

James Y. Dai and Michael Leblanc
SHARE: an adaptive algorithm to select the most informative set of SNPs for candidate genetic association
Biostatistics. 2009 October; 10(4): 680–693.