BOL: All site bookmarks

chromeister: An ultra fast, heuristic approach to detect conserved signals in extremely large pairwise genome comparisons.

Jit — Thu, 03 Feb 2022 04:01:55 -0600

chromeister: An ultra fast, heuristic approach to detect conserved signals in extremely large pairwise genome comparisons.

USAGE:

-query: sequence A in fasta format
-db: sequence B in fasta format
-out: output matrix
-kmer Integer: k>1 (default 32) Use 32 for chromosomes and genomes and 16 for small bacteria
-diffuse Integer: z>0 (default 4) Use 4 for everything - if using large plant genomes you can try using 1
-dimension Size of the output matrix and plot. Integer: d>0 (default 1000) Use 1000 for everything that is not full genome size, where 2000 is recommended

Address of the bookmark: https://github.com/estebanpw/chromeister

GenomeTools: The versatile open source genome analysis software

Neel — Wed, 02 Feb 2022 04:00:21 -0600

The GenomeTools genome analysis system is a free collection of bioinformatics tools (in the realm of genome informatics) combined into a single binary named gt. It is based on a C library named “libgenometools” which consists of several modules.

If you are interested in gene prediction, have a look at GenomeThreader.

http://genometools.org/pub/

Address of the bookmark: http://genometools.org/

odgi: optimized dynamic genome/graph implementation

Abhimanyu Singh — Tue, 01 Feb 2022 23:42:21 -0600

odgi provides an efficient and succinct dynamic DNA sequence graph model, as well as a host of algorithms that allow the use of such graphs in bioinformatic analyses.

Careful encoding of graph entities allows odgi to efficiently compute and transform pangenomes with minimal overheads. odgi implements a dynamic data structure that leveraged multi-core CPUs and can be updated on the fly.

The edges and path steps are recorded as deltas between the current node id and the target node id, where the node id corresponds to the rank in the global array of nodes. Graphs built from biological data sets tend to have local partial order and, when sorted, the deltas be small. This allows them to be compressed with a variable length integer representation, resulting in a small in-memory footprint at the cost of packing and unpacking.

The RAM and computational savings are substantial. In partially ordered regions of the graph, most deltas will require only a single byte.

Address of the bookmark: https://github.com/pangenome/odgi

Comparative Genomics Workshops !

Rahul Nayak — Tue, 25 Jan 2022 20:39:58 -0600

This meeting's objective was to obtain a big picture look at the current state of the field of comparative genomics with a focus on commonalities across genomic investigations into humans, model organisms (both traditional and non-traditional), agricultural species, wildlife species and microbes.

https://www.genome.gov/event-calendar/perspectives-in-comparative-genomics-and-evolution

Address of the bookmark: https://www.genome.gov/event-calendar/perspectives-in-comparative-genomics-and-evolution

CrossMap: program for genome coordinates conversion between different assemblies

Rahul Nayak — Tue, 25 Jan 2022 17:59:32 -0600

CrossMap is a program for genome coordinates conversion between different assemblies (such as hg18 (NCBI36) <=> hg19 (GRCh37)). It supports commonly used file formats including BAM, CRAM, SAM, Wiggle, BigWig, BED, GFF, GTF, MAF VCF, and gVCF.

Address of the bookmark: http://crossmap.sourceforge.net/

HIV genome database !

Rahul Nayak — Fri, 21 Jan 2022 05:40:15 -0600

HIV resources

https://www.hiv.lanl.gov/components/sequence/HIV/search/search.html

Address of the bookmark: https://www.hiv.lanl.gov/components/sequence/HIV/search/search.html

VCF Compare !

Rahul Nayak — Wed, 19 Jan 2022 10:30:14 -0600

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 sequencing platform <ftp://webdata:webdata@ussd-ftp.illumina.com/Data/SequencingRuns/NA18507_GAIIx_100_chr21.bam>, aligned to the b36/hg18 reference genome)

Address of the bookmark: https://wiki.bits.vib.be/index.php/NGS_Exercise.6#compare_aln_.26_mem_results_with_vcf-compare

oGNM:Conformational dynamics based on contact topology in a coarse-grained presentation

Abhi — Mon, 17 Jan 2022 03:52:51 -0600

Gaussian Network Model (GNM) is a powerful tool to sample conformational dynamics based on contact topology in a coarse-grained presentation. Here we present a method to consider protein dynamics in the presence of ‘environment’ (1). The ‘environment’ here can be crystal contacts defined in structures solved by x-ray crystallography, a protein in homo-/hetero-dimers, a part of a protein complex, the DNA in complexed with transcription factors, or even a large ligand (or ligands) in a protein. The protein dynamics, in the presence of these ‘environments’, can be assessed in a more rigorous physics ground (the size and number of the orthogonal normal modes are the same as those in unperturbed systems (in the absence of the environment)) with our theories (2) that guarantee our implementations to be more efficient (saving 3/4 time, assuming equal size of system and environment), more memory friendly (saving >1/2 time) and more accurate (enhanced correlation between predictions and B-factors). The environment consideration in ANM theory was published (1) and reviewed (2); its GNM counterpart is first derived in this work and proven to be more accurate in the B-factor predictions than conventional GNM.

Address of the bookmark: https://dyn.life.nthu.edu.tw/oGNM/oGNM.php

MimiLook: A Phylogenetic Workflow for Detection of Gene Acquisition in Major Orthologous Groups of Megavirales

Abhi — Mon, 10 Jan 2022 06:32:22 -0600

This tool detects statistically validated events of gene acquisitions with the help of the T-REX algorithm by comparing individual gene tree with NCBI species tree. In between the steps, the workflow decides about handling paralogs, filtering outputs, identifying Megavirale specific OGs, detection of HGTs, along with retrieval of information about those OGs that are monophyletic with organisms from cellular domains of life.

https://www.readcube.com/articles/10.3390%2Fv9040072

Address of the bookmark: https://pubmed.ncbi.nlm.nih.gov/28387730/

PLAR: Pipeline for lncRNA annotation from RNA-seq data

Abhi — Fri, 07 Jan 2022 06:18:01 -0600

Due to several requests, we are releasing an assingment of orthologs, determined using the same methods used in Hezroni et al. (BLAST, Whole Genome Alignment (WGA), and synteny). One is comparing human GENCODE genes (from GENCODE v30) to lncRNAs from other species identified by PLAR. Available here.

Species	Assembly	Code	Transcriptome	lncRNAs	Protein-coding
Human	hg19	hg19	Download	Download	Download
Rhesus	rheMac3	rm3	Download	Download	Download
Marmoset	calJac3	cj3	Download	Download	Download
Mouse	mm9	mm9	Download	Download	Download
Rabbit	oryCun2	oc2	Download	Download	Download
Dog	canFam3	cf3	Download	Download	Download
Ferret	musFur1	oa3	Download	Download	Download
Opossum	monDom5	md5	Download	Download	Download
Chicken	galGal4	gg4	Download	Download	Download
Lizard	anoCar2	ac2	Download	Download	Download
Coelacanth	latCha1	lc1	Download	Download	Download
Zebrafish	danRer7	dr7	Download	Download	Download
Stickleback	gasAcu1	ga1	Download	Download	Download
Nile tilapia	oreNil2	ot2	Download	Download	Download
Spotted gar	lepOcu1	lo1	Download	Download	Download
Elephant shark	calMil1	cm1	Download	Download	Download
Sea urchin	strPur4	sp4	Download	Download	Download

Address of the bookmark: http://www.weizmann.ac.il/Biological_Regulation/IgorUlitsky/PLAR