<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/38205?offset=40 https://bioinformaticsonline.com/pages/view/44672/libraries-or-management-tools-for-high-throughput-sequencing-data Fri, 04 Oct 2024 02:45:06 -0500 https://bioinformaticsonline.com/pages/view/44672/libraries-or-management-tools-for-high-throughput-sequencing-data <![CDATA[Libraries or management tools for high throughput sequencing data]]>
  • GATB Library. The Genome Analysis Toolbox with de-Bruijn graph. A large part of tools developed by the GenScale team are based on this library.
    These methods enable the analysis of data sets of any size on multi-core desktop computers, including very huge amount of reads data coming from any kind of organisms such as bacteria, plants, animals and even complex samples (e.g. metagenomes). Among them are (the full is available here: https://gatb.inria.fr/software/):
  • LRez: C++ Library and toolkit for the barcode-based management and indexation of linked-read datasets.

    • Variant calling and/or genotyping

    • DiscoSNP++ and discoSnpRAD: Reference-free small variant discovery (SNPs and indels)
    • MindTheGap: Detection and assembly of large insertion variants
    • TakeABreak: reference-free inversion discovery tool
    • SVJedi: Structural Variant genotyper with long read data
    • SVJedi-graph: Structural Variant genotyper with long read data using a variation graph

    Sequence assembly

    • MinYS: reference-guided genome assembly in metagenomics data
    • MTG-link: local assembly tool for linked-read data
    • Minia: De novo short read assembler
    • de-novo pipeline: de-novo assembly pipeline (error correction / contigs / scaffolding) for genomes and meta-genomes
    • Mapsembler2: Targeted assembly (not maintained)

    Managing k-mers & indexation

    • findere: simple strategy for speeding up queries and for reducing false positive calls from any Approximate Membership Query data structure.
      • fimpera extends findere adding the abundance information.
    • kmtricks: modular tool suite for counting kmers, and constructing Bloom filters or kmer matrices, for large collections of sequencing data.
    • kmindex is a tool for indexing and querying sequencing samples. It is built on top of kmtricks.
    • back to sequences: Find sequences (reads, unitigs, genes) related to a set of kmers in large datasets, in a matter of seconds.
    • Backpack Quotient Filter: k-mer indexing data structure with abundance
    • short read connector: Detect similar reads from potentially large read set
    • DSK: Count K-mer in sequences

    Pangenome graph manipulation

    • Pancat: Pangenome Comparison and Analysis Toolkit
    • GFAGraphs: a Python library to handle pangenome graph files in GFA format.

    Comparative metagenomics with k-mers

    Species and bacterial strains identification

    • ORI: software using long nanopore reads to identify bacteria present in a sample at the strain level
    • StrainFLAIR: STRAIN-level proFiLing using vArIation gRaph

    General-purpose sequencing data manipulation

    • GASSST: long read mapper
    • Leon: short read compressor (now included in GATB-core)
    • Bloocoo: short read corrector
    • BCALM: Construct compacted de Bruijn graphs (unitigs)

     Protein Structure

    • A_Purva: Contact Map Overlap solver
    • MD-Jeep: Distance Geometry solver
    • CSA: Comparative Structural Alignment

    Workflow

    • SLICEE: parallel execution of bioinformatics workflows

    Comparative Genomics

    • CASSIS: detection of rearrangement breakpoints
    • PLAST: intensive bank-to-bank sequence comparison
    • DRJBreakpointFinder: detection and precise localization of excision sites in proviral segments
    ]]>     LEGE     https://bioinformaticsonline.com/bookmarks/view/32131/wgs-celera-assembler-version-83rc2 Mon, 10 Apr 2017 04:45:40 -0500 https://bioinformaticsonline.com/bookmarks/view/32131/wgs-celera-assembler-version-83rc2 <![CDATA[WGS Celera Assembler version 8.3rc2]]> These are release notes for Celera Assembler version 8.3rc2, which was released on May 24, 2015.

    This distribution package provides a stable, tested, documented version of the software.  The distribution is usable on most Unix-like platforms, and some platforms have pre-compiled binary distributions ready for installation.

    The source code package includes full source code (revision 4627), Makefiles, and scripts.  A subset of the kmer package (http://kmer.sourceforge.net/, version r1994), used by some modules of Celera Assembler, is included.  This distribution includes [http://samtools.sourceforge.net/ SAMtools], [http://www.cbcb.umd.edu/software/jellyfish/ Jellyfish 2.0], [https://github.com/pbjd/pbutgcns PBUTGCNS], [https://github.com/PacificBiosciences/pbdagcon PBDAGCON], [https://github.com/PacificBiosciences/BLASR BLASR], and parts of the [https://github.com/PacificBiosciences/FALCON/tree/v0.1.3 Falcon assembler].

    Full documentation can be found online at http://wgs-assembler.sourceforge.net/.

    Interesting scripts within it

    urbe@urbo214b[bin] ls                                                        []
    -rwxrwxr-x 1 urbe urbe  11K Apr 10 11:41 addCNSToStore
    -rwxrwxr-x 1 urbe urbe 575K Apr 10 11:41 addReadsToUnitigs
    -rwxrwxr-x 1 urbe urbe 128K Apr 10 11:41 analyzeBest
    -rwxrwxr-x 1 urbe urbe 257K Apr 10 11:41 analyzePosMap
    -rwxrwxr-x 1 urbe urbe 1,5M Apr 10 11:41 analyzeScaffolds
    -rwxrwxr-x 1 urbe urbe 224K Apr 10 11:41 asmOutputFasta
    -rwxrwxr-x 1 urbe urbe 448K Apr 10 11:41 asmOutputStatistics
    -rwxrwxr-x 1 urbe urbe 2,4K Apr 10 11:41 asmToAGP.pl
    -rwxrwxr-x 1 urbe urbe 7,6M Apr 10 11:41 blasr
    -rwxrwxr-x 1 urbe urbe 1,6M Apr 10 11:41 bogart
    -rwxrwxr-x 1 urbe urbe 183K Apr 10 11:41 bogus
    -rwxrwxr-x 1 urbe urbe 272K Apr 10 11:41 bogusness
    -rwxrwxr-x 1 urbe urbe 247K Apr 10 11:41 buildPosMap
    -rwxrwxr-x 1 urbe urbe 213K Apr 10 11:41 buildRefContigs
    -rwxrwxr-x 1 urbe urbe 990K Apr 10 11:41 buildUnitigs
    -rwxrwxr-x 1 urbe urbe  18K Apr 10 11:41 ca2ace.pl
    -rwxrwxr-x 1 urbe urbe  12K Apr 10 11:41 caqc_help.ini
    -rwxrwxr-x 1 urbe urbe  61K Apr 10 11:41 caqc.pl
    -rwxrwxr-x 1 urbe urbe  23K Apr 10 11:41 cat-corrects
    -rwxrwxr-x 1 urbe urbe  24K Apr 10 11:41 cat-erates
    -rwxrwxr-x 1 urbe urbe 1,9M Apr 10 11:41 cgw
    -rwxrwxr-x 1 urbe urbe 1,4M Apr 10 11:41 cgwDump
    -rwxrwxr-x 1 urbe urbe 204K Apr 10 11:41 chimChe
    -rwxrwxr-x 1 urbe urbe 201K Apr 10 11:40 chimera
    -rwxrwxr-x 1 urbe urbe 220K Apr 10 11:41 classifyMates
    -rwxrwxr-x 1 urbe urbe 201K Apr 10 11:41 classifyMatesApply
    -rwxrwxr-x 1 urbe urbe 215K Apr 10 11:41 classifyMatesPairwise
    -rwxrwxr-x 1 urbe urbe 366K Apr 10 11:41 computeCoverageStat
    -rwxrwxr-x 1 urbe urbe 9,8K Apr 10 11:41 convert-fasta-to-v2.pl
    -rwxrwxr-x 1 urbe urbe  48K Apr 10 11:41 convertOverlap
    -rwxrwxr-x 1 urbe urbe 119K Apr 10 11:41 convertSamToCA
    -rwxrwxr-x 1 urbe urbe  20K Apr 10 11:41 convertToPBCNS
    -rwxrwxr-x 1 urbe urbe 197K Apr 10 11:41 correct-frags
    -rwxrwxr-x 1 urbe urbe 259K Apr 10 11:41 correct-olaps
    -rwxrwxr-x 1 urbe urbe 520K Apr 10 11:41 correctPacBio
    -rwxrwxr-x 1 urbe urbe 540K Apr 10 11:41 ctgcns
    -rwxrwxr-x 1 urbe urbe 162K Apr 10 11:40 deduplicate
    -rwxrwxr-x 1 urbe urbe  37K Apr 10 11:41 demotePosMap
    -rwxrwxr-x 1 urbe urbe 1,5M Apr 10 11:41 dumpCloneMiddles
    -rwxrwxr-x 1 urbe urbe 124K Apr 10 11:41 dumpPBRLayoutStore
    -rwxrwxr-x 1 urbe urbe 1,3M Apr 10 11:41 dumpSingletons
    -rwxrwxr-x 1 urbe urbe 171K Apr 10 11:41 erate-estimate
    -rwxrwxr-x 1 urbe urbe 221K Apr 10 11:40 estimate-mer-threshold
    -rwxrwxr-x 1 urbe urbe 1,5M Apr 10 11:41 extendClearRanges
    -rwxrwxr-x 1 urbe urbe 1,3M Apr 10 11:41 extendClearRangesPartition
    -rwxrwxr-x 1 urbe urbe 205K Apr 10 11:40 extractmessages
    -rwxrwxr-x 1 urbe urbe 7,2M Apr 10 11:41 falcon_sense
    -rwxrwxr-x 1 urbe urbe 9,8K Apr 10 11:41 fastaToCA
    -rwxrwxr-x 1 urbe urbe 124K Apr 10 11:40 fastqAnalyze
    -rwxrwxr-x 1 urbe urbe 137K Apr 10 11:40 fastqSample
    -rwxrwxr-x 1 urbe urbe  62K Apr 10 11:40 fastqSimulate
    -rwxrwxr-x 1 urbe urbe 121K Apr 10 11:40 fastqSimulate-sort
    -rwxrwxr-x 1 urbe urbe 246K Apr 10 11:40 fastqToCA
    -rwxrwxr-x 1 urbe urbe 140K Apr 10 11:41 filterOverlap
    -rwxrwxr-x 1 urbe urbe 341K Apr 10 11:40 finalTrim
    -rwxrwxr-x 1 urbe urbe 228K Apr 10 11:41 fixUnitigs
    -rwxrwxr-x 1 urbe urbe 147K Apr 10 11:40 fragmentDepth
    -rwxrwxr-x 1 urbe urbe  29K Apr 10 11:41 fragsInVars
    -rwxrwxr-x 1 urbe urbe 545K Apr 10 11:41 frgs2clones
    -rwxrwxr-x 1 urbe urbe 398K Apr 10 11:40 gatekeeper
    -rwxrwxr-x 1 urbe urbe 139K Apr 10 11:40 gatekeeperbench
    -rwxrwxr-x 1 urbe urbe 167K Apr 10 11:40 gkpStoreCreate
    -rwxrwxr-x 1 urbe urbe 147K Apr 10 11:40 gkpStoreDumpFASTQ
    -rwxrwxr-x 1 urbe urbe 184K Apr 10 11:41 greedyFragmentTiling
    -rwxrwxr-x 1 urbe urbe 1,6K Apr 10 11:41 greedy_layout_to_IUM
    -rwxrwxr-x 1 urbe urbe 142K Apr 10 11:40 initialTrim
    -rwxrwxr-x 1 urbe urbe 967K Apr 10 11:41 jellyfish
    -rwxrwxr-x 1 urbe urbe 219K Apr 10 11:41 markRepeatUnique
    -rwxrwxr-x 1 urbe urbe 273K Apr 10 11:40 markUniqueUnique
    -rwxrwxr-x 1 urbe urbe 114K Apr 10 11:40 mercy
    -rwxrwxr-x 1 urbe urbe 3,8K Apr 10 11:41 mergeqc.pl
    -rwxrwxr-x 1 urbe urbe 422K Apr 10 11:40 merTrim
    -rwxrwxr-x 1 urbe urbe 125K Apr 10 11:40 merTrimApply
    -rwxrwxr-x 1 urbe urbe 376K Apr 10 11:40 meryl
    -rwxrwxr-x 1 urbe urbe 176K Apr 10 11:41 metagenomics_ovl_analyses
    -rwxrwxr-x 1 urbe urbe 297K Apr 10 11:41 olap-from-seeds
    -rwxrwxr-x 1 urbe urbe 275K Apr 10 11:41 outputLayout
    -rwxrwxr-x 1 urbe urbe 229K Apr 10 11:41 overlapInCore
    -rwxrwxr-x 1 urbe urbe 144K Apr 10 11:40 overlap_partition
    -rwxrwxr-x 1 urbe urbe 179K Apr 10 11:41 overlapStats
    -rwxrwxr-x 1 urbe urbe 179K Apr 10 11:41 overlapStore
    -rwxrwxr-x 1 urbe urbe 153K Apr 10 11:41 overlapStoreBucketizer
    -rwxrwxr-x 1 urbe urbe 175K Apr 10 11:41 overlapStoreBuild
    -rwxrwxr-x 1 urbe urbe  33K Apr 10 11:41 overlapStoreIndexer
    -rwxrwxr-x 1 urbe urbe  48K Apr 10 11:41 overlapStoreSorter
    -rwxrwxr-x 1 urbe urbe 604K Apr 10 11:40 overmerry
    lrwxrwxrwx 1 urbe urbe    4 Apr 10 11:41 pacBioToCA -> PBcR
    -rwxrwxr-x 1 urbe urbe 131K Apr 10 11:41 PBcR
    -rwxrwxr-x 1 urbe urbe 2,9M Apr 10 11:41 pbdagcon
    -rwxrwxr-x 1 urbe urbe 1,9M Apr 10 11:41 pbutgcns
    -rwxrwxr-x 1 urbe urbe 201K Apr 10 11:40 remove_fragment
    -rwxrwxr-x 1 urbe urbe 153K Apr 10 11:40 removeMateOverlap
    -rwxrwxr-x 1 urbe urbe 2,5K Apr 10 11:41 replaceUIDwithName-fastq
    -rwxrwxr-x 1 urbe urbe 1,2K Apr 10 11:41 replaceUIDwithName-posmap
    -rwxrwxr-x 1 urbe urbe 1,3M Apr 10 11:41 resolveSurrogates
    -rwxrwxr-x 1 urbe urbe 139K Apr 10 11:41 rewriteCache
    -rwxrwxr-x 1 urbe urbe 232K Apr 10 11:41 runCA
    -rwxrwxr-x 1 urbe urbe  88K Apr 10 11:41 runCA-dedupe
    -rwxrwxr-x 1 urbe urbe  14K Apr 10 11:41 runCA-overlapStoreBuild
    -rwxrwxr-x 1 urbe urbe 3,6K Apr 10 11:41 run_greedy.csh
    -rwxrwxr-x 1 urbe urbe 297K Apr 10 11:40 sffToCA
    -rwxrwxr-x 1 urbe urbe  13K Apr 10 11:40 show-corrects
    -rwxrwxr-x 1 urbe urbe 557K Apr 10 11:41 splitUnitigs
    -rwxrwxr-x 1 urbe urbe 1,4M Apr 10 11:41 terminator
    drwxrwxr-x 2 urbe urbe 4,0K Apr 10 11:41 TIGR
    -rwxrwxr-x 1 urbe urbe 526K Apr 10 11:41 tigStore
    -rwxrwxr-x 1 urbe urbe  35K Apr 10 11:41 tracearchiveToCA
    -rwxrwxr-x 1 urbe urbe  35K Apr 10 11:41 tracedb-to-frg.pl
    -rwxrwxr-x 1 urbe urbe  44K Apr 10 11:41 trimFastqByQVWindow
    -rwxrwxr-x 1 urbe urbe  18K Apr 10 11:40 uidclient
    -rwxrwxr-x 1 urbe urbe 589K Apr 10 11:41 unitigger
    -rwxrwxr-x 1 urbe urbe  42K Apr 10 11:40 upgrade-v8-to-v9
    -rwxrwxr-x 1 urbe urbe  42K Apr 10 11:40 upgrade-v9-to-v10
    -rwxrwxr-x 1 urbe urbe  854 Apr 10 11:41 utg2fasta
    -rwxrwxr-x 1 urbe urbe 731K Apr 10 11:41 utgcns
    -rwxrwxr-x 1 urbe urbe 561K Apr 10 11:41 utgcnsfix


    Address of the bookmark: http://wgs-assembler.sourceforge.net/wiki/index.php/Main_Page

    ]]>     Jit     https://bioinformaticsonline.com/bookmarks/view/35249/gpopsim-a-simulation-tool-for-whole-genome-genetic-data Wed, 17 Jan 2018 03:47:46 -0600 https://bioinformaticsonline.com/bookmarks/view/35249/gpopsim-a-simulation-tool-for-whole-genome-genetic-data <![CDATA[GPOPSIM: a simulation tool for whole-genome genetic data]]> GPOPSIM is a simulation tool for pedigree, phenotypes, and genomic data, with a variety of population and genome structures and trait genetic architectures. It provides flexible parameter settings for a wide discipline of users, especially can simulate multiple genetically correlated traits with desired genetic parameters and underlying genetic architectures.

    Address of the bookmark: https://github.com/SCAU-AnimalGenetics/GPOPSIM

    ]]>     Jit     https://bioinformaticsonline.com/bookmarks/view/26380/hicdat Fri, 12 Feb 2016 05:23:44 -0600 https://bioinformaticsonline.com/bookmarks/view/26380/hicdat <![CDATA[HiCdat]]> HiCdat: a fast and easy-to-use Hi-C data analysis tool

    HiCdat is easy-to-use and provides solutions starting from aligned reads up to in-depth analyses. Importantly, HiCdat is focussed on the analysis of larger structural features of chromosomes, their correlation to genomic and epigenomic features, and on comparative studies. It uses simple input and output formats and can therefore easily be integrated into existing workflows or combined with alternative tools.

    More at http://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0678-x

    Address of the bookmark: https://github.com/MWSchmid/HiCdat

    ]]>     Jit     https://bioinformaticsonline.com/file/view/989/bioinformatics-approach-to-boar-taint Wed, 17 Jul 2013 15:50:37 -0500 https://bioinformaticsonline.com/file/view/989/bioinformatics-approach-to-boar-taint <![CDATA[Bioinformatics approach to Boar Taint]]> Meat products obtained from intact male pigs often produce offensive smell or odour which is recognized as a complex genetic trait called boar taint.Androstenone and Skatole in the fat primarily cause boar taint. Metabolism of androstenone and sex steroids share a common pathway which makes removal of boar taint a very challenging task. Castration is a traditional solution to remove boar taint but it also results in bad quality of meat due to low level of steroids which is objectionable to many consumers. Detected functional variant(s) underlying boar taint compounds can be used as genetic markers in selection of male pigs with reduced boar taint levels. Resequencing of a total of 47 samples belong to Norwegian Landrace (NL) and Duroc (D) pigs with varied boar taint levels were done in Illumina HiSeq2000 to >10X average coverage. Short reads generated from these samples mapped to Sus Scrofa version 10.2 reference assembly using Bowtie2. Alignment file then used for calling SNPs and InDels inside previousy identified QTL regions on SSC5,13, and 7 with the aid of FreeBayes , a variant caller tool. A final list of SNPs was prepared after filtering SNPs on the basis of SNP quality, coverage of SNP allele, functional and structural annotation, and repeats, etc. Selected SNPs will be genotyped in sample population for validation and then used for constructing SNPs haplotypes in close linkage disequilibrium with QTLs and fine mapping of QTLs through association mapping of genotyped SNPs. 

     

    ]]>     Rahul Agarwal     https://bioinformaticsonline.com/view/1926 Sun, 11 Aug 2013 11:42:32 -0500 https://bioinformaticsonline.com/view/1926 <![CDATA[Want to Know which genome assembler rule the world ?]]> Assemblathon 2: evaluating de novo methods of genome assembly 

    http://www.gigasciencejournal.com/content/2/1/10/abstract

    http://blogs.nature.com/news/2013/07/genome-assembly-contest-prompts-soul-searching.html

    http://assemblathon.org/post/44431915644/feedback-and-analysis-of-the-assemblathon-2-p

     

    ]]>     Rahul Agarwal     https://bioinformaticsonline.com/news/view/4195/barber-pole-worm-sheep-pathogen-sequenced Tue, 03 Sep 2013 16:32:18 -0500 https://bioinformaticsonline.com/news/view/4195/barber-pole-worm-sheep-pathogen-sequenced <![CDATA[Barber pole worm , sheep pathogen sequenced !!!]]> Haemonchus contortus is a highly pathogenic parasitic nematode of that can infect a large number of wild and domesticated ruminant species and is the most economically important parasite of sheep and goats worldwide. Scientists at the Wellcome Trust Sanger Institute have sequenced the genome of the barber's pole worm (Haemonchus contortus), which will help to explore the this tropical parasite which been disseminated around the world by livestock movement. 

    H. contortus is a member of the superfamily trichostrongyloidea (Strongylida) which contains most of the economically important parasitic nematodes of grazing livestock. These parasites cost the global livestock industry billions of dollars per annum in lost production and drug costs. A common type of clover may be a preventative or palliative for the disease. However, some particular breeds of sheep, such as the Gulf Coast Native from the Southern United States, have been shown to have developed special resistance to H. contortus.

    Getting the full genome can help to tackle the problem and understand the resistance mechanism with an ease. Moreover, the genome could now provide a comprehensive understanding of how treatments against parasitic worms work and point to further new treatments and vaccines. By comparing the genome of the barber's pole worm with those of worms that have acquired drug resistance, researchers expect to reveal information about how and why resistance has occurred. Till now, researchers have uncovered essential information in the fight against drug resistance in worms.

    Reference:

    http://www.fwi.co.uk/articles/28/08/2013/140758/researchers-close-in-on-worm-resistance-in-sheep.htm

    http://www.sciencedaily.com/releases/2013/08/130828103351.htm?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+sciencedaily%2Fplants_animals+(ScienceDaily%3A+Plants+%26+Animals+News)

    Image source: Wikipedia

    image

    ]]>     Rahul Agarwal     https://bioinformaticsonline.com/news/view/6896/dna-tale-of-3-to-4-years-old-serbia-boy Tue, 26 Nov 2013 17:34:00 -0600 https://bioinformaticsonline.com/news/view/6896/dna-tale-of-3-to-4-years-old-serbia-boy <![CDATA[DNA tale of 3 to 4 years old Serbia boy]]> The genome of a young boy found underground at Mal’ta near Lake Baikal of eastern Siberia around 24,000 years ago came out as close relative of Europeans and Native Indians.

    Link:

    http://www.nytimes.com/2013/11/21/science/two-surprises-in-dna-of-boy-found-buried-in-siberia.html?_r=0

     

    http://www.nature.com/nature/journal/vaop/ncurrent/full/nature12736.html

    ]]>     Rahul Agarwal     https://bioinformaticsonline.com/news/view/10237/genome-of-rainbow-trout-sequenced Fri, 25 Apr 2014 10:36:51 -0500 https://bioinformaticsonline.com/news/view/10237/genome-of-rainbow-trout-sequenced <![CDATA[Genome of Rainbow Trout Sequenced]]> Major finding:

    “In humans and most vertebrates the duplication events were older so there are fewer duplicated genes still present. Most of the duplicated genes get lost or modified so much that they are no longer recognizable as duplicates over time. In the trout and salmon we can see an earlier stage in the process and many duplicated genes are still present,” said Dr Gary Thorgaard of Washington State University, a co-author of the paper published in the journal Nature Communications.

    Source:

    http://www.sci-news.com/genetics/science-genome-rainbow-trout-01877.html

    ]]>     Rahul Agarwal     https://bioinformaticsonline.com/news/view/10378/real-time-sequencing Sun, 04 May 2014 18:16:42 -0500 https://bioinformaticsonline.com/news/view/10378/real-time-sequencing <![CDATA[Real time Sequencing]]> “... we now know we can do high-throughput sequencing at any location on Earth,” Moroz said.

    Source:

    http://news.ufl.edu/2014/04/28/real-time-genome-sequencing-at-sea/

    ]]>     Rahul Agarwal