github.com - Miniasm is a very fast OLC-based de novo assembler for noisy long reads. It takes all-vs-all read self-mappings (typically by minimap) as input and outputs an assembly graph in the GFA format. Different from mainstream...
github.com - Recent technological progress has greatly facilitated de novo genome sequencing. However, de novo assemblies consist in many pieces of contiguous sequence (contigs) arranged in thousands of scaffolds instead of small numbers of...
github.com - MECAT is an ultra-fast Mapping, Error Correction and de novo Assembly Tools for single molecula sequencing (SMRT) reads. MECAT employs novel alignment and error correction algorithms that are much more efficient than the state of art of aligners and...
genome.crg.es - In this exercise, a previously annotated gene will be used to measure the accuracy of different gene finding approaches. GRAIL, GENSCAN, geneid, FGENESH, GenomeScan, GrailEXP and GENEWISE will be used to annotate the sequence. Both search by...
sourceforge.net - Cerulean extends contigs assembled using short read datasets like Illumina paired-end reads using long reads like PacBio RS long reads.
Cerulean v0.1 has been implemented with bacterial genomes in mind.
The method is fully described in...
mkweb.bcgsc.ca - Before uploading a data file, check the samples gallery to make sure that your data format is compatible.
Your file must be plain text.
Your data values must be non-negative integers.
Data must be space-separated (one or...
github.com - Here is the command to run the tool:
python finisherSC.py destinedFolder mummerPath
If you are running on server computer and would like to use multiple threads, then the following commands can generate 20 threads to run FinisherSC.
python...
1000 Genomes data tutorial at ASHG
Structural variants presentation by
Jan Korbel
European Molecular Biology Laboratory (EMBL) Heidelberg Genome Biology Research...
github.com - LR_Gapcloser is a gap closing tool using long reads from studied species. The long reads could be downloaed from public read archive database (for instance, NCBI SRA database ) or be your own data. Then they are fragmented and aligned to scaffolds...