<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/33011?offset=10 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/researchlabs/view/10739/science-for-life-laboratory-scilifelab-sweden Sat, 10 May 2014 06:22:30 -0500 <![CDATA[Science for Life Laboratory (SciLifeLab)-Sweden]]> Science for Life Laboratory (SciLifeLab) is a national center for molecular biosciences with focus on health and environmental research. The center combines frontline technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource and a collaboration between four universities: Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University and Uppsala University.

Webpage : https://www.scilifelab.se/about-us/
Opportunity: https://www.scilifelab.se/about-us/career/

]]> https://bioinformaticsonline.com/bookmarks/view/38304/lordfast-sensitive-and-fast-alignment-search-tool-for-long-noisy-read-sequencing-data Tue, 27 Nov 2018 04:43:57 -0600 https://bioinformaticsonline.com/bookmarks/view/38304/lordfast-sensitive-and-fast-alignment-search-tool-for-long-noisy-read-sequencing-data <![CDATA[lordFAST: sensitive and Fast Alignment Search Tool for LOng noisy Read sequencing Data]]> lordFAST is a sensitive tool for mapping long reads with high error rates. lordFAST is specially designed for aligning reads from PacBio sequencing technology but provides the user the ability to change alignment parameters depending on the reads and application.

lordFAST, a novel long-read mapper that is specifically designed to align reads generated by PacBio and potentially other SMS technologies to a reference. lordFAST not only has higher sensitivity than the available alternatives, it is also among the fastest and has a very low memory footprint.

 

Address of the bookmark: https://github.com/vpc-ccg/lordfast

]]> BioJoker https://bioinformaticsonline.com/bookmarks/view/37457/nanofilt-filtering-and-trimming-of-long-read-sequencing-data Mon, 30 Jul 2018 12:01:52 -0500 https://bioinformaticsonline.com/bookmarks/view/37457/nanofilt-filtering-and-trimming-of-long-read-sequencing-data <![CDATA[nanofilt: Filtering and trimming of long read sequencing data]]> Filtering on quality and/or read length, and optional trimming after passing filters.
Reads from stdin, writes to stdout.

Intended to be used:

  • directly after fastq extraction
  • prior to mapping
  • in a stream between extraction and mapping

https://github.com/wdecoster/nanofilt

Address of the bookmark: https://github.com/wdecoster/nanofilt

]]> Jit 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/bookmarks/view/42310/dada2-fast-and-accurate-sample-inference-from-amplicon-data-with-single-nucleotide-resolution Tue, 10 Nov 2020 20:26:00 -0600 https://bioinformaticsonline.com/bookmarks/view/42310/dada2-fast-and-accurate-sample-inference-from-amplicon-data-with-single-nucleotide-resolution <![CDATA[DADA2: Fast and accurate sample inference from amplicon data with single-nucleotide resolution]]> The DADA2 tutorial goes through a typical workflow for paired end Illumina Miseq data: raw amplicon sequencing data is processed into the table of exact amplicon sequence variants (ASVs) present in each sample.

The DADA2 Workflow on Big Data goes through workflow optimized to run on large datasets (10s of millions to billions of reads).

An ITS-specific version of the DADA2 workflow identifies and verifiably removes primers on both ends of each ITS read, a key step due to the variable length of the ITS region.

Short demonstrations of assigning taxonomy and assigning species to sequences.

Address of the bookmark: https://benjjneb.github.io/dada2/index.html

]]> Jit https://bioinformaticsonline.com/opportunity/view/4728/3-days-intensive-course-on-understanding-omics-data-in-basel-switzerland-19-21st-november Mon, 23 Sep 2013 10:46:57 -0500 <![CDATA[3 days intensive course on Understanding 'omics data in Basel, Switzerland, 19-21st November]]> Benefits for the participants

- Plan more efficient experiments
- Correctly interpret results
- Communicate results in publications more effectively

The course focus is on methodologies, not on particular software tools. After the course participants should be able to apply the methods in their respective environment. However, during the course, hands-on sessions will be performed using the Genedata Expressionist® software, which enables participants to quickly apply the discussed methods and visualize results. No previous knowledge on Expressionist® is required; access to the software is free of charge during the course.

More @ http://www.dixa-fp7.eu/dixa-training/dixa-training-agenda/genedata-academy#!

]]> https://bioinformaticsonline.com/bookmarks/view/27850/clusterprofiler Thu, 16 Jun 2016 18:57:03 -0500 https://bioinformaticsonline.com/bookmarks/view/27850/clusterprofiler <![CDATA[clusterProfiler]]> statistical analysis and visulization of functional profiles for genes and gene clusters

Bioconductor version: Release (3.3)

This package implements methods to analyze and visualize functional profiles (GO and KEGG) of gene and gene clusters.

Author: Guangchuang Yu <guangchuangyu at gmail.com> with contributions from Li-Gen Wang and Giovanni Dall'Olio.

Maintainer: Guangchuang Yu <guangchuangyu at gmail.com>

Citation (from within R, enter citation("clusterProfiler")):

Yu G, Wang L, Han Y and He Q (2012). “clusterProfiler: an R package for comparing biological themes among gene clusters.” OMICS: A Journal of Integrative Biology, 16(5), pp. 284-287.
Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("clusterProfiler")

https://www.bioconductor.org/packages/devel/bioc/vignettes/clusterProfiler/inst/doc/clusterProfiler.html

Address of the bookmark: https://www.bioconductor.org/packages/devel/bioc/vignettes/clusterProfiler/inst/doc/clusterProfiler.html

]]> Jit https://bioinformaticsonline.com/bookmarks/view/34750/japanese-multi-omics-reference-panel-jmorp Fri, 22 Dec 2017 20:18:37 -0600 https://bioinformaticsonline.com/bookmarks/view/34750/japanese-multi-omics-reference-panel-jmorp <![CDATA[Japanese Multi Omics Reference Panel, jMorp]]> Japanese Multi Omics Reference Panel, jMorp, is a database of metabolome and proteome data in plasma obtained from volunteers in ToMMo. Metabolome data were measured by proton NMR and LC-MS, and proteome data were obtained by nanoLC-MS. We could measure several thousands of metabolites including the uncharacterized ones, and several hundreds of proteins until now.

https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkx978/4563306

Address of the bookmark: https://jmorp.megabank.tohoku.ac.jp/2017/compounds

]]> Rahul Agarwal https://bioinformaticsonline.com/opportunity/view/40957/multiple-phd-positions Sun, 09 Feb 2020 03:10:28 -0600 <![CDATA[Multiple PhD positions]]> 14 PhD positions in the EU Horizon 2020 Marie Skłodowska-Curie Project PRECODE:
International training network which sets a joint research programme to train a new generation of leading scientists in model systems and methods for the development of new therapies for pancreatic cancer (PaCa)

http://precode-project.eu/jobs-board/#1572451761376-39d75f63-c6fb

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