github.com - Merfin, a k-mer based variant-filtering algorithm for improved accuracy in genotyping and genome assembly polishing. Merfin evaluates each variant based on the expected k-mer multiplicity in the reads, independently of the quality of the...
broadinstitute.github.io - Picard is a set of command line tools for manipulating high-throughput sequencing (HTS) data and formats such as SAM/BAM/CRAM and VCF. These file formats are defined in the Hts-specs repository. See especially the SAM specification and the VCF...
github.com - pbalign aligns PacBio reads to reference sequences, filters aligned reads according to user-specific filtering criteria, and converts the output to either the SAM format or PacBio Compare HDF5 (e.g., .cmp.h5) format. The output Compare HDF5 file...
To do sam to bam conversion, follow the following commands :-
Code:
$ samtools view -b -S file.sam > file.bam
Then you will need to use
Code:
$ samtools sort file.bam file-sorted
followed by
Code:
$ samtools index...
daehwankimlab.github.io - Resource for downloading all the HISAT2 related files
Please cite:
Kim, D., Paggi, J.M., Park, C. et al. Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype. Nat Biotechnol 37, 907–915...
ftp.ncbi.nih.gov - Now a days there are a lots of genomics databases available around the world. This bookmark is created to provide all links in one place ...
ftp://ftp.ncbi.nih.gov/genomes/
https://hgdownload.soe.ucsc.edu/downloads.html
http://json.org/ - JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming...
BLASTn output format 6
BLASTn maps DNA against DNA, for example gene sequences against a reference genomeblastn -query genes.ffn -subject genome.fna -outfmt 6
BLASTn tabular output format 6
Column headers:qseqid sseqid pident...
rstudio-pubs-static.s3.amazonaws.com - First step: Install & load “VennDiagram” package.
# install.packages('VennDiagram')
library(VennDiagram)
Second step: Load data
Add filepath if “catdoge.csv” is not in working-directory.
d <-...