journal.embnet.org - Next Generation Sequencing has totally changed genomics: we are able to produce huge amounts of data at an incredibly low cost compared to Sanger sequencing. Despite this, some old problems have become even more difficult, de novo assembly being on...
github.com - The automated reconstruction of genome sequences in ancient genome analysis is a multifaceted process.
EAGER encompasses both state-of-the-art tools for each step as well as new complementary tools tailored for ancient DNA data within a single...
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...
http://last.cbrc.jp/ - LAST can:
Handle big sequence data, e.g:
Compare two vertebrate genomes
Align billions of DNA reads to a genome
Indicate the reliability of each aligned column.
Use sequence quality data properly.
Compare DNA...
The genome assemblers generally take a file of short sequence reads and a file of quality-value as the input. Since the quality-value file for the high throughput short reads is usually highly memory-intensive, only a few assemblers, best suited for...
http://www.htslib.org/ - Samtools is a suite of programs for interacting with high-throughput sequencing data. It consists of three separate repositories:
SamtoolsReading/writing/editing/indexing/viewing SAM/BAM/CRAM formatBCFtoolsReading/writing BCF2/VCF/gVCF files and...
sfg.stanford.edu - This website and accompaning documents are intended as a tool to help researchers dealing with non-model organisms acquire and process transcriptomic high-throughput sequencing data without having to learn extensive bioinformatics skills. It covers...
github.com - BEDOPS v2.4.26 is a suite of tools to address common questions raised in genomic studies — mostly with regard to overlap and proximity relationships between data sets. It aims to be scalable and flexible, facilitating the efficient and...
Genome browsers are useful not only for showing final results but also for improving analysis protocols, testing data quality, and generating result drafts. Its integration in analysis pipelines allows the optimization of parameters, which...