<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/41893? https://bioinformaticsonline.com/bookmarks/view/42132/squeezemeta-a-fully-automated-metagenomics-pipeline-from-reads-to-bins Mon, 17 Aug 2020 05:25:10 -0500 https://bioinformaticsonline.com/bookmarks/view/42132/squeezemeta-a-fully-automated-metagenomics-pipeline-from-reads-to-bins <![CDATA[SqueezeMeta: a fully automated metagenomics pipeline, from reads to bins]]> SqueezeMeta is a full automatic pipeline for metagenomics/metatranscriptomics, covering all steps of the analysis. SqueezeMeta includes multi-metagenome support allowing the co-assembly of related metagenomes and the retrieval of individual genomes via binning procedures. Thus, SqueezeMeta features several unique characteristics:

  1. Co-assembly procedure with read mapping for estimation of the abundances of genes in each metagenome
  2. Co-assembly of a large number of metagenomes via merging of individual metagenomes
  3. Includes binning and bin checking, for retrieving individual genomes
  4. The results are stored in a database, where they can be easily exported and shared, and can be inspected anywhere using a web interface.
  5. Internal checks for the assembly and binning steps inform about the consistency of contigs and bins, allowing to spot potential chimeras.
  6. Metatranscriptomic support via mapping of cDNA reads against reference metagenomes

Address of the bookmark: https://github.com/jtamames/SqueezeMeta

]]> BioStar https://bioinformaticsonline.com/bookmarks/view/44597/imagine-in-silico-metagenomics-pipeline Sat, 06 Jul 2024 04:32:18 -0500 https://bioinformaticsonline.com/bookmarks/view/44597/imagine-in-silico-metagenomics-pipeline <![CDATA[iMAGine - in silico MetAGenomics pipeline]]> iMAGine is a metagenomic workflow which includes filtering, assembling, and binning.

This workflow includes the following tools which are needed to be installed in the system.

  1. fastp
  2. spades assembler
  3. QUAST
  4. bwa
  5. samtools
  6. metabat2
  7. CheckM

Address of the bookmark: https://github.com/avishekdutta14/iMAGine

]]> BioStar https://bioinformaticsonline.com/bookmarks/view/44595/squeezemeta-a-fully-automated-metagenomics-pipeline-from-reads-to-bins Sat, 06 Jul 2024 04:29:16 -0500 https://bioinformaticsonline.com/bookmarks/view/44595/squeezemeta-a-fully-automated-metagenomics-pipeline-from-reads-to-bins <![CDATA[SqueezeMeta: a fully automated metagenomics pipeline, from reads to bins]]> SqueezeMeta is a full automatic pipeline for metagenomics/metatranscriptomics, covering all steps of the analysis. SqueezeMeta includes multi-metagenome support allowing the co-assembly of related metagenomes and the retrieval of individual genomes via binning procedures. Thus, SqueezeMeta features several unique characteristics:

  1. Co-assembly procedure with read mapping for estimation of the abundances of genes in each metagenome
  2. Co-assembly of a large number of metagenomes via merging of individual metagenomes
  3. Includes binning and bin checking, for retrieving individual genomes
  4. The results are stored in a database, where they can be easily exported and shared, and can be inspected anywhere using a web interface.
  5. Internal checks for the assembly and binning steps inform about the consistency of contigs and bins, allowing to spot potential chimeras.
  6. Metatranscriptomic support via mapping of cDNA reads against reference metagenomes

Address of the bookmark: https://github.com/jtamames/SqueezeMeta

]]> BioStar https://bioinformaticsonline.com/bookmarks/view/42303/fqc-dashboard-integrates-fastqc-results-into-a-web-based-interactive-and-extensible-fastq-quality-control-tool Tue, 10 Nov 2020 01:30:22 -0600 https://bioinformaticsonline.com/bookmarks/view/42303/fqc-dashboard-integrates-fastqc-results-into-a-web-based-interactive-and-extensible-fastq-quality-control-tool <![CDATA[FQC Dashboard: Integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool]]> FQC is software that facilitates quality control of FASTQ files by carrying out a QC protocol using FastQC, parsing results, and aggregating quality metrics into an interactive dashboard designed to richly summarize individual sequencing runs. The dashboard groups samples in dropdowns for navigation among the data sets, utilizes human-readable configuration files to manipulate the pages and tabs, and is extensible with CSV data.

Address of the bookmark: https://github.com/pnnl/fqc

]]> Shruti Paniwala https://bioinformaticsonline.com/researchlabs/view/22761/pit-bioinformatics-group Tue, 16 Jun 2015 14:34:26 -0500 <![CDATA[PIT Bioinformatics Group]]> PIT Bioinformatics Group solves problems in bioinformatics and computational biology. Recent developed online tools:

- Budapest Reference Connectome: View a parametrizable connectome (brain graph).
- AmphoraNet: The webserver implementation of the AMPHORA2 workflow for phylogenetic analysis of metagenomic shotgun sequencing data.
- AmphoraVizu: Chart visualization for metagenomics analysis tools AMPHORA2 and AmphoraNet.
- SCARF: Free online association rule mining tool.

More at: http://pitgroup.org

]]> https://bioinformaticsonline.com/bookmarks/view/44587/lorikeet-strain-resolver-for-metagenomics Sat, 06 Jul 2024 04:21:31 -0500 https://bioinformaticsonline.com/bookmarks/view/44587/lorikeet-strain-resolver-for-metagenomics <![CDATA[Lorikeet: Strain resolver for metagenomics]]> Lorikeet is a within-species variant analysis pipeline for metagenomic communities that utilizes both long and short reads. Lorikeet utilizes a re-implementaion of the GATK HaplotypeCaller algorithm, performing local re-assembly of potentially active regions within candidate genomes. Called variants can be clustered into likely strains using a combination of UMAP and HDBSCAN.

image

Address of the bookmark: https://github.com/rhysnewell/Lorikeet

]]> BioStar https://bioinformaticsonline.com/opportunity/view/6954/workshop-on-population-and-metagenomics-analysis-nerc Sun, 01 Dec 2013 14:25:45 -0600 <![CDATA[Workshop on population and metagenomics analysis @ NERC]]> Workshop Overview

A ten-day workshop taking place between 25 February - 6 March 2014 providing detailed hands-on training for population and meta-genomics analysis for researchers with little or no background in mathematics or computing.

Venue: Dartington Hall, Totnes, Devon (nearest train station - Totnes)

Times: 25 February - 6th March 2014.

Arrival evening of Tuesday 25 February 2014. Departure morning of 6th March 2014. The course itself will take place 9am-12pm, 2pm-5pm and on some evenings 7pm-10pm everyday 26 February-5th March. Students are expected to attend the entire course.

Contact: research-events@exeter.ac.uk

Registration

The course itself is free of charged and is funded by a Professional Postgraduate Development Award from NERC.

A total of 30 funded places are available which cover the costs of accommodation and food, but not the cost of transportation to/from the venue.

An additional 10 places are available for participants from industry. The cost of accommodation and meals will need to be covered by the participants.

You should register your interest by 31 December 2013. Participants will be informed by 10th January 2014 as to whether they have been selected. Please note that preference will be given to researchers funded by NERC.

More at http://www.eventbrite.co.uk/e/nerc-workshop-on-population-and-metagenomics-analysis-tickets-8628888237

]]> https://bioinformaticsonline.com/bookmarks/view/34515/metasim-a-sequencing-simulator-for-genomics-and-metagenomics Mon, 04 Dec 2017 07:18:20 -0600 https://bioinformaticsonline.com/bookmarks/view/34515/metasim-a-sequencing-simulator-for-genomics-and-metagenomics <![CDATA[MetaSim A Sequencing Simulator for Genomics and Metagenomics.]]> Our software can be used to generate collections of synthetic reads that reflect the diverse taxonomical composition of typical metagenome data sets. Based on a database of given genomes, the program allows the user to design a metagenome by specifying the number of genomes present at different levels of the NCBI taxonomy, and then to collect reads from the metagenome using a simulation of a number of different sequencing technologies. A population sampler optionally produces evolved sequences based on source genomes and a given evolutionary tree. 

Address of the bookmark: http://ab.inf.uni-tuebingen.de/software/metasim/

]]> Jit https://bioinformaticsonline.com/bookmarks/view/26303/maker Sun, 07 Feb 2016 15:59:24 -0600 https://bioinformaticsonline.com/bookmarks/view/26303/maker <![CDATA[MAKER]]> MAKER is a portable and easily configurable genome annotation pipeline.Its purpose is to allow smaller eukaryotic and prokaryotic genome projects to independently annotate their genomes and to create genome databases. MAKER identifies repeats, aligns ESTs and proteins to a genome, produces ab-initio gene predictions and automatically synthesizes these data into gene annotations having evidence-based quality values.

More at http://www.yandell-lab.org/software/maker.html

Address of the bookmark: http://www.yandell-lab.org/software/maker.html

]]> Jitendra Narayan https://bioinformaticsonline.com/bookmarks/view/27432/gkno Fri, 20 May 2016 18:56:37 -0500 https://bioinformaticsonline.com/bookmarks/view/27432/gkno <![CDATA[GKNO]]> gkno opens the world of complex bioinformatic analysis to people of all level of computational expertise. This site contains documentation, tutorials and information on all the tools that comprise gkno.

http://gkno.me/how-to/install.html

http://gkno.me/software.html

Address of the bookmark: http://gkno.me/

]]> Neel