We are a computational biology lab that develops novel methods for analysis of DNA and RNA sequences. Our research includes software for aligning and assembling RNA-seq data, whole-genome assembly, and microbiome analysis. We work closely with...
www.sequenceontology.org - We have developed the Sequence Ontology Bioinformatics Analysis (SOBA) tool to provide a simple statistical and graphical summary of an annotated genome. We envisage its use during annotation jamborees, genome comparison and for use by developers...
platanus.bio.titech.ac.jp - Platanus is a novel de novo sequence assembler that can reconstruct genomic sequences of highly heterozygous diploids from massively parallel shotgun sequencing data.
The latest version is 1.2.4.
To cite Platanus, please use the...
sepsis-omics.github.io - This is a tutorial for a workshop on long-read (PacBio) genome assembly.
It demonstrates how to use long PacBio sequencing reads to assemble a bacterial genome, and includes additional steps for circularising, trimming, finding plasmids, and...
GABi Research
The major researching fields defined as the GABi scope are described next:
Sequence Analysis
Protein Structure Prediction
Comparative Genomics
Functional Analysis of Residues on Protein Families
Gene/Protein...
github.com - MitoZ is a Python3-based toolkit which aims to automatically filter pair-end raw data (fastq files), assemble genome, search for mitogenome sequences from the genome assembly result, annotate mitogenome (genbank file as result), and mitogenome...
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
wiki.bits.vib.be - compare two BWA mapping methods with the online hg18-mapped data
We first operate a rapid inspection of the different BAM files using samtools flagstat. Illumina provided chr21 read mapping obtained with their GA IIx deep...
shendurelab.github.io - LACHESIS is method that exploits contact probability map data (e.g. from Hi-C) for chromosome-scale de novo genome assembly.
Further information about LACHESIS, including source code, documentation and a user's guide are available...