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This package includes BBMap, a short read aligner, as well as various other bioinformatic tools. It is written in pure Java, can run on any platform, and has no dependencies other than Java being installed (compiled for Java 6 and higher). All tools are efficient and multithreaded. BBMap: Short read aligner for DNA and RNA-seq data. Capable of handling arbitrarily large genomes with millions of scaffolds. Handles Illumina, PacBio, 454, and other reads; very high sensitivity and...

NOTE: Project moved to https://github.com/MolBIFFM/PTGLtools. The Visualization of Protein-Ligand Graphs (VPLG) software package computes and visualizes protein graphs. It works on the super-secondary structure level and uses the atom coordinates from PDB files and the SSE assignments of the DSSP algorithm. VPLG is command line software. If you do not like typing commands, try our PTGL web server: http://ptgl.uni-frankfurt.de/

...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

...For more details about SuRankCo and its functioning, please see "SuRankCo: Supervised Ranking of Contigs in de novo Assemblies" Mathias Kuhring, Piotr Wojtek Dabrowski, Andreas Nitsche and Bernhard Y. Renard (http://www.biomedcentral.com/1471-2105/16/240/abstract) PLEASE NOTE, it is recommended to read the paper and the readme.txt file before using SuRankCo. Update Jun2015: * Minor changes to enable BAM support. Update Feb2014: * Added support for FASTA/SAM assemblies in addition to ACE/FASTQ(QUAL). NOTE: features of FASTA/SAM assemblies do not include BaseCount, BaseSeqmentCount and ContigQualities yet.

...For more details about LiDSiM and its functioning, please see "Estimating the Computational Limits of Detection of Microbial Non-Model Organisms" Mathias Kuhring and Bernhard Y. Renard (http://onlinelibrary.wiley.com/doi/10.1002/pmic.201400598/abstract) PLEASE NOTE, it is recommended to read the paper and the readme.txt file before using LiDSiM.

CIG-P is a higher order visualization tool for AP-MS which generates intuitive circular diagrams for visually appealing final representation of AP-MS data. CIG-P can be used to compare a) different AP-MS datasets of various baits or b) a particular bait under various perturbations (lenticular section CIG-P). The output of CIG-P is a simple and intuitively easy to grasp visualization of a complex dataset. Publication: CIG-P: Cicular Interaction Graph for...