BOL

hoffmann.bioinf.uni-leipzig.de - segemehl is a software to map short sequencer reads to reference genomes. Unlike other methods, segemehl is able to detect not only mismatches but also insertions and deletions. Furthermore, segemehl is not limited to a specific read length and is...

sepsis-omics.github.io - This is a tutorial for a workshop on long-read (PacBio) genome assembly. It demonstrates how to use long PacBio sequencing reads to assemble a bacterial genome, and includes additional steps for circularising, trimming, finding plasmids, and...

www.cbcb.umd.edu - Metagenomics sequencing projects collect samples of DNA from uncharacterized environments that may contain hundreds or even thousands of species. One of the main challenges in analyzing a metagenome is phylogenetic classification of raw sequence...

http://busco.ezlab.org/ - Assessing genome assembly and annotation completeness with Benchmarking Universal Single-Copy Orthologs More at http://busco.ezlab.org/

bioinformatics.oxfordjournals.org - Summary: Mate pair library sequencing is an effective and economical method for detecting genomic structural variants and chromosomal abnormalities. Unfortunately, the mapping and alignment of mate pair read pairs to a reference genome is a...

github.com - Pilon is a software tool which can be used to: Automatically improve draft assemblies Find variation among strains, including large event detection Pilon requires as input a FASTA file of the genome along with one or more BAM files of reads...

github.com - PANDASEQ is a program to align Illumina reads, optionally with PCR primers embedded in the sequence, and reconstruct an overlapping sequence.   More at https://github.com/neufeld/pandaseq

www.bioinformatics.babraham.ac.uk - Understanding Following table and graphs Duplication level kmer profile per base GC content per base N content per base quality per base sequence content per sequence GC content per sequence quality sequence length distribution More at...

github.com - SGA is a de novo genome assembler based on the concept of string graphs. The major goal of SGA is to be very memory efficient, which is achieved by using a compressed representation of DNA sequence reads. More at https://github.com/jts/sga SGA...

github.com - Requirements: velvet (velveth velvetg should be in your PATH) R (with Sweave) pdflatex (usually part of TeTeX) ggplot2 (from R prompt type install.packages("ggplot2","proto","xtable")) Perl Optional: BLAT or BLAST (to generate...