BOL: Related items

NanoSim: nanopore sequence read simulator based on statistical characterization.

Jit — Mon, 18 Dec 2017 04:16:31 -0600

NanoSim, a fast and scalable read simulator that captures the technology-specific features of ONT data and allows for adjustments upon improvement of nanopore sequencing technology. The first step of NanoSim is read characterization, which provides a comprehensive alignment-based analysis and generates a set of read profiles serving as the input to the next step, the simulation stage. The simulation stage uses the model built in the previous step to produce in silico reads for a given reference genome. NanoSim is written in Python and R. The source files and manual are available at the Genome Sciences Centre website: http://www.bcgsc.ca/platform/bioinfo/software/nanosim

https://github.com/bcgsc/NanoSim

Address of the bookmark: http://www.bcgsc.ca/platform/bioinfo/software/nanosim

Breakpointer: using local mapping artifacts to support sequence breakpoint discovery from single-end reads

Jit — Tue, 12 Jun 2018 12:41:10 -0500

Breakpointer is a fast tool for locating sequence breakpoints from the alignment of single end reads (SE) produced by next generation sequencing (NGS). It adopts a heuristic method in searching for local mapping signatures created by insertion/deletions (indels) or more complex structural variants(SVs).

Address of the bookmark: https://github.com/ruping/Breakpointer

SDA: Long-read sequence and assembly of segmental duplications

Jit — Tue, 05 Mar 2019 10:00:57 -0600

Segmental Duplication Assembler (SDA; https://github.com/mvollger/SDA) constructs graphs in which paralogous sequence variants define the nodes and long-read sequences provide attraction and repulsion edges, enabling the partition and assembly of long reads corresponding to distinct paralogs.

https://github.com/mvollger/SDA

Address of the bookmark: https://www.nature.com/articles/s41592-018-0236-3

flo

Jitendra Narayan — Wed, 10 Feb 2016 10:52:32 -0600

flo - same species annotations lift over pipeline

Lift over is the process of transferring annotations from one genome assembly to another. Usually lift over is done because there is a new, improved genome assembly for the species and good quality annotations (maybe manually curated or experimentally verified) are available on the old assembly.

The idea is simple: align the new assembly with the old one (e.g., with BLAT), process the alignment data to define how a coordinate or coordinate range on the old assembly should be transformed to the new assembly (e.g., as a chain file), transform the coordinates (e.g., with liftOver).

https://github.com/wurmlab/flo

Address of the bookmark: https://github.com/wurmlab/flo

Apollo: a sequence annotation editor

Abhimanyu Singh — Tue, 27 Aug 2019 08:08:47 -0500

The well-established inaccuracy of purely computational methods for annotating genome sequences necessitates an interactive tool to allow biological experts to refine these approximations by viewing and independently evaluating the data supporting each annotation. Apollo was developed to meet this need, enabling curators to inspect genome annotations closely and edit them

Address of the bookmark: https://genomebiology.biomedcentral.com/articles/10.1186/gb-2002-3-12-research0082

Project Assistant/ JRF at North Eastern Hill University

Fri, 12 Feb 2016 09:23:01 -0600

Project Assistant/ JRF

Eligibility : ME/M.Tech, Any Graduate, MSc

Location : Shillong

Last Date : 23 Feb 2016

Hiring Process : Face to Face Interview
North Eastern Hill University

Project Assistant/ JRF Jobs recruitment in North Eastern Hill University on temporary basis

Project Title : "Next Generation Sequencing (NGS)-based de novo assembly of expressed transcripts and genome information of Orchids in North-East India"

Project Assistant

No. of Post : 01

Qualifications : Graduation

Desirable : Experience of working in a Life Science/Plant Biotechnology lab. and familiarity with computers and field work viz. collection of samples.

JRF

No. of Post : 01

Qualifications : M.Tech/M.Sc in Life Sciences/Botany/Biotechnology/ Bioinformatics;

Desirable : Aptitude for Bioinformatics and Computer Programming/ Next generation sequencing data analysis
How to apply

The applications through email bicnehu@gmail.com or post must reach the Dr. Devendra Kumar Biswal, Co-Principal Investigator (Co-PI) within 15 days from the date of publication of this advertisement.

More at http://www.nehu.ac.in/Advertisements/projectVacancy.php

GfaViz: flexible and interactive visualization of GFA sequence graphs

Jit — Thu, 23 Jan 2020 07:33:46 -0600

GFA (Graphical Fragment Assembly) is an emerging standard format for representing sequence graphs. Although it was originally conceived as a format for sequence assembly (hence the name), and this remains its core application, it is more general, and able to represent many different types of sequence graphs, including scaffolding graphs, alignment graphs, variant graphs and splicing graphs.

Address of the bookmark: https://github.com/ggonnella/gfaviz

flexidot: Highly customizable, ambiguity-aware dotplots for visual sequence analyses

Jit — Fri, 24 Apr 2020 08:39:28 -0500

FlexiDot is a cross-platform dotplot suite generating high quality self, pairwise and all-against-all visualizations. To improve dotplot suitability for comparison of consensus and error-prone sequences, FlexiDot harbors routines for strict and relaxed handling of mismatches and ambiguous residues. The custom shading modules facilitate dotplot interpretation and motif identification by adding information on sequence annotations and sequence similarities to the images. Combined with collage-like outputs, FlexiDot supports simultaneous visual screening of a large sequence sets, allowing dotplot use for routine screening.

Address of the bookmark: https://github.com/molbio-dresden/flexidot

Scientist at Regional Medical Research Centre (ICMR), RMRC, Port Blair

Mon, 22 Feb 2016 04:38:48 -0600

Scientist

Eligibility : MSc, M Phil / Phd, BE/B.Tech

Location : Delhi

Last Date : 08 Mar 2016

Hiring Process : Walk - In
Regional Medical Research Centre -

Notification Order No.1-51/Proj/RMRC/PB/

Scientist – II (Post Code: BIC-II) job position in Regional Medical Research Centre (ICMR)

Essential Qualification: 1 st class Master’s degree in Bioinformatics / Computational Biology. B.E / B.Tech (Bioinformatics / Computer Science / Biotechnology) OR 2nd Class M.Sc. with Ph.D. in Bioinformatics / Computational Biology / Life Science.

Desirable Qualification: Post-doctoral research experience in Bioinformatics / Computational Biology / Computer Science / Life Science at a recognized institution. Experience in handling and analyzing sequencing data. Experience in scripting languages (PERL/PYTHON) etc./ Statistical software. Experience in developing research projects.

Number of Post: 1 UR

Place of Posting: RMRC, Port Blair

Age Limit: 40 years

Pay Scale : Rs.45,954
How to apply

Interested candidates are invited to submit applications along with copies of all the certificates of educational qualifications, date of birth, working experience etc . on the affixing a passport size photograph by Application Format to attend a walk-in interview on 8th March 2016 at 10:30 AM.

More at http://www.icmr.nic.in/icmrnews/port%20blair%20Bioinf%2003-2016.pdf

LoReTTA, a user-friendly tool for assembling viral genomes from PacBio sequence data

Neel — Wed, 23 Jun 2021 07:54:53 -0500

LoReTTA (Long Read Template-Targeted Assembler), a tool designed for performing de novo assembly of long reads generated from viral genomes on the PacBio platform. LoReTTA exploits a reference genome to guide the assembly process, an approach that has been successful with short reads.

https://academic.oup.com/ve/article/7/1/veab042/6248116

Address of the bookmark: https://academic.oup.com/ve/article/7/1/veab042/6248116