BOL

neufeldserver.uwaterloo.ca - PANDASEQ assembles paired-end Illumina reads into sequences, trying to correct for errors and uncalled bases. The assembler reads two files in FASTQ format with quality information. If amplification primers were used (e.g., to isolate a variable...

Basics concepts of Probability: The Study of Randomness Biostatistics is the application of statistics to a wide range of topics in biology. The science of biostatistics encompasses the design of biological experiments, especially in medicine,...

web.mit.edu - We present methods for the automatic determination of genome correspondence. The algorithms enabled the automatic identification of orthologs for more than 90% of genes and intergenic regions across the four species despite the large number of...

www.broadinstitute.org - Spines is a collection of software tools, developed and used by the Vertebrate Genome Biology Group at the Broad Institute. It provides basic data structures for efficient data manipulation (mostly genomic sequences, alignments, variation...

www.bcgsc.ca - This sockeye software uses the Ensembl database project to import sequence and annotation information from several eukaryotic species. A user can additionally import their own custom sequence and annotation data. Individual annotation objects...

www.ncbi.nlm.nih.gov - Comparative genomics remains a pivotal strategy to study the evolution of gene organization, and this primacy is reinforced by the growing number of full genome sequences available in public repositories. Despite this growth, bioinformatic tools...

http://meme-suite.org/ - Motif based sequence analysis suits  The MEME Suite allows the biologist to discover novel motifs in collections of unaligned nucleotide or protein sequences, and to perform a wide variety of other motif-based analyses. The MEME Suite...

Structural variation caller tools using long reads

github.com - v0.0 by Glenn Hickey (hickey@soe.ucsc.edu) Progressive Cactus is a whole-genome alignment package. Requirements git gcc 4.2 or newer python 2.7 wget 64bit processor and build environment 150GB+ of memory on at least one machine when...

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...