sourceforge.net - Metassembler combines multiple whole genome de novo assemblies into a combined consensus assembly using the best segments of the individual assemblies.
Genome assembly projects typically run multiple algorithms in an attempt to find the single best...
derisilab.ucsf.edu - We are pleased to release PRICE (Paired-Read Iterative Contig Extension), a de novo genome assembler implemented in C++. Its name describes the strategy that it implements for genome assembly: PRICE uses paired-read information to iteratively...
➜ bin git:(master) ✗ ls -l
total 68
drwxrwxr-x 3 urbe urbe 4096 Jun 15 12:15 lib
-rwxrwxrwx 1 urbe urbe 65141 Jun 15 17:13 LINKS
➜ bin git:(master) ✗ pwd
/home/urbe/Tools/LINKS_1.8.6/bin
➜ bloomfilter git:(master) ✗ swig -Wall -c++...
FYI, I've found it useful to use MUMmer to extract the specific changes that Racon makes, so I can evaluate them individually:
minimap -t 24 assembly.fasta long_reads.fastq.gz | racon -t 24 long_reads.fastq.gz - assembly.fasta...
chmille4.github.io - Scribl is a javascript, Canvas-based graphics library that easily generates biological visuals of genomic regions, alignments, and assembly data. Scribl can also be used in conventional offline pipelines, since everything needed to generate charts...
github.com - pyGenomeTracks aims to produce high-quality genome browser tracks that are highly customizable. Currently, it is possible to plot:
bigwig
bed (many options)
bedgraph
links (represented as arcs)
Hi-C matrices (if HiCExplorer is...
github.com - Often, genome assembly projects have illumina whole genome sequencing reads available for the assembled individual. The k-mer spectrum of this read set can be used for independently evaluating assembly quality without the need of a high quality...
www.nature.com - Validated a widely accessible approach that can be used to establish functional causality for noncoding sequence variants identified by GWASs.
https://www.nature.com/articles/nm.3975
Shirley is a computational biologist with expertise in cancer epigenetics. Her research focuses on algorithm development and integrative mining from big data generated on microarrays, massively parallel sequencing, and other high throughput...