BOL: Related items

Biotite: A general framework for computational biology

Jit — Mon, 17 Dec 2018 18:52:27 -0600

The package is open source and freely available at GitHub (https://github.com/biotite-dev/biotite). This package is simple to use especially for the beginners in programming and computationally efficient because of the implementation of Numpy and Cython. Biotite consists of four sub packages: sequence, structure, databases, and application. The sequence and structure modules serve for the analysis of sequence and structural data analysis respectively, database downloads files from the other databases such as RCSB PDB, and application provides interface for external software.

The Biotite package bundles popular tasks in computational biology into an unifying framework, which is easy to use on the one hand side, but is also computationally efficient due to intensive usage of NumPy and Cython. This package focuses on working with sequence and structure data and supports various file formats and analysis and manipulation functions.

Address of the bookmark: https://github.com/biotite-dev/biotite

4DGenome

Jitendra Narayan — Mon, 04 Jul 2016 00:44:55 -0500

Records in 4DGenome are compiled through comprehensive literature curation of experimentally-derived and computationally-predicted interactions. The current release contains 4,433,071 experimentally-derived and 3,605,176 computationally-predicted interactions in 5 organisms. Experimental data cover both high throughput datasets and individiual focused studies.

All interaction data are freely available in a standardized file format. Records can be queried by genomic regions, gene names, organism, and detection technology.

Address of the bookmark: http://4dgenome.research.chop.edu/

Sequence - Evolution - Function; Computational Approaches in Comparative Genomics

Jit — Sun, 06 Aug 2017 06:58:12 -0500

Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis.

Address of the bookmark: https://www.ncbi.nlm.nih.gov/books/NBK20260/

Computational resources for TE discovery and TE detection

Abhimanyu Singh — Mon, 12 Feb 2018 10:29:18 -0600

Transposable Elements (TEs) to genome structure and evolution as well as their impact on genome sequencing, assembly, annotation and alignment has generated increasing interest in developing new methods for their computational analysis.

Following are the list of resource and location for TE discovery and TE detection:

BLASTER suite http://urgi.versailles.inra.fr/development/blaster/

Censor http://www.girinst.org/censor/download.php

find_ltr http://darwin.informatics.indiana.edu/cgi-bin/evolution/ltr.pl

FINDMITE http://jaketu.biochem.vt.edu/dl_software.htm

HMMER http://hmmer.janelia.org/

LTR_FINDER http://tlife.fudan.edu.cn/ltr_finder/

LTR_STRUC http://www.genetics.uga.edu/retrolab/data/LTR_Struc.html

LTR_MINER http://genomebiology.com/2004/5/10/R79/suppl/s7

LTR_par http://www.eecs.wsu.edu/~ananth/software.htm

MAK http://wesslercluster.plantbio.uga.edu/mak06.html

MaskerAid http://blast.wustl.edu/maskeraid/

mer-engine http://mer-engine.cshl.edu/mer-home.php

mreps http://bioinfo.lifl.fr/mreps/

PILER http://www.drive5.com/piler/

PLOTREP http://repeats.abc.hu/cgi-bin/plotrep.pl

RepBase http://www.girinst.org/

RepeatFinder http://cbcb.umd.edu/software/RepeatFinder/

RepeatGluer http://nbcr.sdsc.edu/euler/intro_tmp.htm

RepeatMasker http://www.repeatmasker.org/

RepeatRunner http://www.yandell-lab.org/repeat_runner/index.html

RepeatScout http://repeatscout.bioprojects.org/

repeat-match http://mummer.sourceforge.net/

REPuter http://www.genomes.de/

RetroMap http://www.burchsite.com/bioi/RetroMapHome.html

SMaRTFinder http://bioinf.dimi.uniud.it/software/software/smartfinder

Tandem Repeats Finder http://tandem.bu.edu/trf/trf.html

Transposon Cluster Finder http://www.mssm.edu/labs/warbup01/paper/files.html

TE nest http://www.plantgdb.org/prj/TE_nest/TE_nest.html

TRANSPO http://alggen.lsi.upc.es/recerca/search/transpo/transpo.html

TSDfinder http://www.ncbi.nlm.nih.gov/CBBresearch/Landsman/TSDfinder/

Tu Lab TE tools http://jaketu.biochem.vt.edu/dl_software.htm

WU-BLAST http://blast.wustl.edu

PLANT COMPUTATIONAL GENOMICS LAB – JILL WEGRZYN

Thu, 20 Aug 2020 19:49:12 -0500

Our research focuses on the computational analysis of genomic and transcriptomic sequences from non-model plant species. We do this by developing approaches to examine gene finding, gene expression, transcriptome assembly, and conserved element identification, through machine learning and computational statistics. We use these novel methods to address questions related to genome biology and population genomics.

We also develop web-based applications that integrate data across domains to facilitate the forest geneticist or ecologist’s ability to analyze, share, and visualize their data. Such integration requires the implementation of semantic technologies and ontologies to connect genotype, phenotype, and environmental data.

http://plantcompgenomics.com/

One-year position for a bioinformatician / computational biologist in population genetics

Fri, 05 Feb 2021 11:19:02 -0600

The successful candidate will work as support staff mainly in the development, application and maintenance of pipelines for handling large omics datasets (including whole-genome sequences, high-density genotypes and mRNA sequences). These pipelines cover pre-processing of data, statistical analyses and genome bioinformatics. The postholder will also provide support in producing high-level graphic representations of
these data and of results from their analysis. Our team is part of UMR
7268 ADES research unit (Anthropologie bio-culturelle, Droit, Ethique
et Sant=E9), located at the Timone Faculty of Medicine (Aix-Marseille
University, 13005 Marseille).

JOB QUALIFICATION
- PhD/Engineer/MSc in bioinformatics, biostatistics, genetics/genomics
or any related field.
- Advanced knowledge of Bash/Perl scripting and job management on a Unix
HPC and in at least one basic language for data
manipulation/statistics (such as R/Python/Matlab) are required.
- Knowledge of at least one programming language (e.g. C), experience
processing -omics data or skills in advanced graphical representation
of data would be a plus.

DURATION
1 year, not extensible

SALARY
Gross salary is commensurate with experience and grade (MSc from
1,882=80/month and PhD/equivalent from 2,099=80/month).

APPLICATIONS/OPENING
Please send a motivation letter, a CV and the names of two referees to
pierre.faux@univ-amu.fr. The expected starting date is April 1st, 2021;
the job offer will however remain opened until the position is filled.

Pierre Faux

Troyanskaya Lab

Tue, 04 Feb 2020 06:40:36 -0600

The goal of our research is to interpret and distill this complexity through accurate analysis and modeling of molecular pathways, particularly those in which malfunctions lead to the manifestation of disease. We are inventing integrative methods for systems-level pathway modeling through integrative analysis of genome-scale datasets. We apply these approaches in studying challenging biological problems, such as how pathways function in diverse cell types and how they change dynamically.

https://function.princeton.edu/

SRBreak: A Read-Depth and Split-Read Framework to Identify Breakpoints of Different Events Inside Simple Copy-Number Variable Regions

Jit — Tue, 15 May 2018 04:42:11 -0500

SRBreak is a read-depth and split-read package written in R for identifying copy-number variants in next-generation sequencing datasets. Note: SBReak was designed to work for multiple samples. It can work for >= 2 samples, but we suggest that users should use >= 5 samples as in the work tested in our paper.

Address of the bookmark: https://github.com/hoangtn/SRBreak

mojolicious: a next generation web framework for the Perl programming language.

Jit — Fri, 12 Jan 2018 16:48:10 -0600

Back in the early days of the web, many people learned Perl because of a wonderful Perl library called CGI. It was simple enough to get started without knowing much about the language and powerful enough to keep you going, learning by doing was much fun. While most of the techniques used are outdated now, the idea behind it is not. Mojolicious is a new endeavor to implement this idea using bleeding edge technologies.

Features

An amazing real-time web framework, allowing you to easily grow single file prototypes into well-structured MVC web applications.
- Powerful out of the box with RESTful routes, plugins, commands, Perl-ish templates, content negotiation, session management, form validation, testing framework, static file server, CGI/PSGI detection, first class Unicode support and much more for you to discover.
A powerful web development toolkit, that you can use for all kinds of applications, independently of the web framework.
- Full stack HTTP and WebSocket client/server implementation with IPv6, TLS, SNI, IDNA, HTTP/SOCKS5 proxy, UNIX domain socket, Comet (long polling), Promises/A+, keep-alive, connection pooling, timeout, cookie, multipart and gzip compression support.
- Built-in non-blocking I/O web server, supporting multiple event loops as well as optional pre-forking and hot deployment, perfect for building highly scalable web services.
- JSON and HTML/XML parser with CSS selector support.
Very clean, portable and object-oriented pure-Perl API with no hidden magic and no requirements besides Perl 5.24.0 (versions as old as 5.10.1 can be used too, but may require additional CPAN modules to be installed)
Fresh code based upon years of experience developing Catalyst, free and open source.
Hundreds of 3rd party extensions and high quality spin-off projects like the Minion job queue.

http://mojolicious.org/

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

nQuire: A statistical framework for ploidy estimation using NGS short-read data

Jit — Thu, 31 Jan 2019 05:12:19 -0600

nQuire implements a set of commands to estimate ploidy level of individuals from species, where recent polyploidization occurred and intraspecific ploidy variation is observed. Specifically, nQuire uses next-generation sequencing data to distinguish between diploids, triploids and tetraploids, on the basis of frequency distributions at variant sites where only two bases are segregating.

For more background see also the publication at BMC Bioinformatics.

https://github.com/clwgg/nQuire

Address of the bookmark: https://github.com/clwgg/nQuire