BOL

Our section develops and applies computational methods for the analysis of massive genomics datasets, focusing on the challenges of genome sequencing and comparative genomics. We aim to improve such foundational processes and translate emerging...

Zhejiang University (ZJU) is seeking faculty candidates for its newly launched, highly competitive and well funded “Hundred Talents Program”. This search covers all colleges and departments at ZJU. Applicants, expected to be about 35 years old,...

github.com - The first and the only pre-alignment filtering algorithm that works efficiently and fast on modern CPU, FPGA, and GPU architectures. SneakySnake greatly (by more than two orders of magnitude) expedites sequence alignment calculation for both short...

Just press Ctrl+Alt+T on your keyboard to open Terminal. When it opens, run the command(s) below:

www.simonsfoundation.org - Complete genome sequences from more than one hundred diverse human populations All genomes in the dataset were sequenced to at least 30x coverage using Illumina technology. The sequencing reads were mapped and genotyped using a customized procedure...

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...

Faculty Positions: Rolling/Open Advertisement Advt.No: T-10 (2013) Pay Scale: Pay Band Rs.15600-39100 with AGP of Rs.6,000/- Essential Qualifications for Professors, Associate Professors, and Assistant Professors: As per “UGC REGULATIONS ON...

github.com - Generate unique k-mers for every contig in a FASTA file. Unique k-mer is consisted of k-mer keys (i.e. ATCGATCCTTAAGG) that are only presented in one contig, but not presented in any other contigs (for both forward and reverse strands). This tool...

github.com - Perform Alignment-free k-tuple frequency comparisons from sequences. This can be in the form of two input files (e.g. a reference and a query) or a single file for pairwise comparisons to be made.

github.com - Just import the assembly, bam and ALE scores. You can convert the .ale file to a set of .wig files with ale2wiggle.py and IGV can read those directly.  Depending on your genome size you may want to convert the .wig files to the BigWig format.