sanger-pathogens.github.io - A tool to circularize genome assemblies. The algorithm and benchmarks are described in the Genome Biology manuscript.
Citation: "Circlator: automated circularization of genome assemblies using long sequencing reads", Hunt et al, Genome Biology...
Applications are invited from eligible candidates for the following posts at Bioinformatics Centre (DIC), IT- BT Complex, College of Horticulture, Kerala Agricultural University, Vellanikkara, Thrissur.
1. Research Associate
Emoluments*:...
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...
NIT, Rourkela, an institute of national importance under Ministry of HRD, Govt. of India invites applications from Indian nationals possessing excellent academic background along with commitment to quality teaching and research for faculty positions...
pevsnerlab.kennedykrieger.org - DRAGON: Database Referencing of Array Genes Online
SNOMAD: Standardization and Normalization of Microarray Data
SNPduo: SNP Analysis Between Two Individuals
SNPtrio: Analyzing and Visualizing and Inheritance Patterns in Trios
SNPscan: Data...
github.com - KAT is a suite of tools that analyse jellyfish hashes or sequence files (fasta or fastq) using kmer counts. The following tools are currently available in KAT:
hist: Create an histogram of k-mer occurrences from a sequence file. Adds metadata in...
CSIR - Institute of Himalayan Bioresource Technology 2 vacancies of Project Fellow
Name of the Post: Project Fellow
No. of the Post: 02 Two
Salary: Rs. 12000/- per month or Rs. 14000/- per month
Age Limit: Max. 28 years as on 10.06.2015...
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...
As the cost of DNA sequencing has dropped, the volume of data produced has risen into the petabytes. Google is working with the genomics community to define a standard API for working with big genomic data sets in the cloud. Building on Google Cloud...