seqtk
htslib
seqtk | htslib | |
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8 | 7 | |
1,314 | 775 | |
- | 1.5% | |
5.1 | 8.9 | |
6 months ago | 2 days ago | |
C | C | |
MIT License | GNU General Public License v3.0 or later |
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seqtk
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Illumina adapters and quality trimming
seqtk: A lightweight and versatile tool for processing FASTQ and FASTA files. https://github.com/lh3/seqtk
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looking for a tool to filter non-coding regions/excise ORFs from a draft assembly
Perhaps seqtk could be helpful https://github.com/lh3/seqtk
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Help with understanding awk code
You could also check out tools specialized for FASTA processing like https://github.com/shenwei356/seqkit and https://github.com/lh3/seqtk
- !help
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Doubts with my first ever mRNA-seq QC analysis
If I were to analyze I would use a random fastq sampler like Seqtk and bring all your samples to a lowest read depth of your 27 libraries although I wouldn't analyze a library with less than 2mil reads. 5 mil is fine for differential, you can obviously get more reads and probably received more information but increasing read depth may plateau.
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Reverse sequencing of fastq file
It's a little toolkit written by one of the Illuminati of the Bioinformatics world: seqtk on GH
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[Help] Copying head of fastq file into a .txt file named .fastq, doesn't include the header resolving in an error when converting to .bam file.
I recommend installing seqtk, which makes this easy. Of course sed/awk/perl are theoretically entirely sufficient but why make life more difficult than necessary?
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Looking for small SRA Data Sets
Most SRA files are grouped by projects. On a basic level for something common like RNA-seq you will have replicates of the control and treatment/diseased samples. Each file (i.e. sample) contains raw sequencing reads, usually millions per sample. You could randomly subsample the sequencing reads very easily using many tools (common choice is https://github.com/lh3/seqtk). There is no way you are going to assemble an animal genome with MB file sizes (for example the human genome itself is already over 3GB in size). You should probably look for bacterial or viral DNA samples and subset those to an appropriate size.
htslib
- Gentoo -Os vs -O3 application startup time?
- Does anyone know of a repository for actual genetic data?
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Pigz: A parallel implementation of gzip for multi-core machines
There is another nice multi-core gzip based library called BGZF[1]. It is commonly used in bioinformatics. BGZF has the added advantage that it is block compressed with built in indexing method to permit seeking in compressed files.
[1] https://github.com/samtools/htslib
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Tips for scalable workflows on AWS
In contrast, processing can start immediately and only transfer what is necessary if tooling can read bytes of data directly from Amazon S3. Tools based on htslib can do this, so you can run something like:
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Software Development Project
Another idea is add in reading cloud data natively e.g. htslib which samtools relies on can read s3 directly. https://github.com/samtools/htslib
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Interested in Bioinformatics / C pair-programming opportunity / learning / portfolio project.
Greetings! I'm a bioinformatics software dev in San Francisco and I'm looking for others interested in working on a high-performance genetic data analysis project. The project is in C, using https://github.com/samtools/htslib.
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ffi-bitfield
I'm working on a bioinformatics-related binding called ruby-htslib. htslib makes heavy use of bit fields throughout the library, so supporting bit fields is inevitable.
What are some alternatives?
seqkit - A cross-platform and ultrafast toolkit for FASTA/Q file manipulation
genozip - A modern compressor for genomic files (FASTQ, SAM/BAM/CRAM, VCF, FASTA, GFF/GTF/GVF, 23andMe...), up to 5x better than gzip and faster too
samtools - [Moved to: https://github.com/ingolia/SamTools]
bwa-mem2 - The next version of bwa-mem
samtools - Tools (written in C using htslib) for manipulating next-generation sequencing data
cyvcf2 - cython + htslib == fast VCF and BCF processing
minimap2 - A versatile pairwise aligner for genomic and spliced nucleotide sequences
aws-genomics-workflows - Genomics Workflows on AWS
bam-filter - Use simple expressions to filter a BAM/CRAM file
libdna - ♥ Essential Functions for DNA Manipulation
MMseqs2 - MMseqs2: ultra fast and sensitive search and clustering suite