BOL

genomebiology.biomedcentral.com - The well-established inaccuracy of purely computational methods for annotating genome sequences necessitates an interactive tool to allow biological experts to refine these approximations by viewing and independently evaluating the data supporting...

github.com - GFA (Graphical Fragment Assembly) is an emerging standard format for representing sequence graphs. Although it was originally conceived as a format for sequence assembly (hence the name), and this remains its core application, it is more general,...

csb5.github.io - LoFreq* (i.e. LoFreq version 2) is a fast and sensitive variant-caller for inferring SNVs and indels from next-generation sequencing data. It makes full use of base-call qualities and other sources of errors inherent in sequencing (e.g. mapping or...

github.com - RNA-Bloom is a fast and memory-efficient de novo transcript sequence assembler. It is designed for the following sequencing data types: single-end/paired-end bulk RNA-seq (strand-specific/agnostic) paired-end single-cell RNA-seq...

help.rc.ufl.edu - More at https://help.rc.ufl.edu/doc/Kmer This also includes: A2Amapper: ATAC, Assembly to Assembly Comparision tool: Comparative mapping between two genome assemblies (same species), or between two different genomes (cross...

github.com - UniAligner (formerly, TandemAligner) is the first parameter-free algorithm for sequence alignment that introduces a sequence-dependent alignment scoring that automatically changes for any pair of compared sequences. Classical alignment approaches,...

github.com - pyScaf orders contigs from genome assemblies utilising several types of information: paired-end (PE) and/or mate-pair libraries (NGS-based mode) long reads (NGS-based mode) synteny to the genome of some related species (reference-based...

ivory.idyll.org - DNA k-mers underlie much of our assembly work, and we (along with many others!) have spent a lot of time thinking about how to store k-mer graphs efficiently, discard redundant data, and count them efficiently. More recently, we've...

http://shinyheatmap.com/ - Background: Transcriptomics, metabolomics, metagenomics, and other various next-generation sequencing (-omics) fields are known for their production of large datasets. Visualizing such big data has posed technical challenges in biology, both in...

http://revigo.irb.hr/ - REViGO can take long lists of Gene Ontology terms and summarize them by removing redundant GO terms. The remaining terms can be visualized in semantic similarity-based scatterplots, interactive graphs, or tag clouds. More about...