BOL: Related items

FLAS: fast and high throughput algorithm for PacBio long read self-correction.

Jit — Sat, 22 Jun 2019 12:16:39 -0500

FLAS, a wrapper algorithm of MECAT, to achieve high throughput long read self-correction while keeping MECAT's fast speed. FLAS finds additional alignments from MECAT prealigned long reads to improve the correction throughput, and removes misalignments for accuracy.

Address of the bookmark: https://github.com/baoe/flas

BioToolbox

Jit — Fri, 19 Feb 2016 09:14:44 -0600

This is a collection of libraries and high-quality end-user scripts for bioinformatic analysis, including working with gene annotation, collecting data scores from a variety of modern file formats, and conversion between file formats. The Bio::ToolBox libraries provide a unified, abstracted interface to multiple common gene annotation formats and the collection of data from multiple data files. They rely on BioPerl SeqFeature libraries and related adaptors to access binary file formats including Bam, BigWig, BigBed, and USeq. The Bio::ToolBox package includes scripts for setting up databases of annotation, collecting annotated features, collecting genomic data relative to features, manipulating and analyzing data, and data format conversion.

More at http://cpansearch.perl.org/src/TJPARNELL/

Address of the bookmark: http://cpansearch.perl.org/src/TJPARNELL/

Understating pacbio reads name !

BioJoker — Fri, 23 Nov 2018 07:36:46 -0600

m140415_143853_42175_c100635972550000001823121909121417_s1_p0/553/3100_11230 0.99 24
└1┘└─────2─────┘└──3─┘└────────────────4────────────────┘└5┘└6┘└7┘└────8────┘└─9─┘└10┘

"m" = movie
Time of Run Start (yymmdd_hhmmss)
Instrument Serial Number
SMRT Cell Barcode
Set Number (a.k.a. "Look Number". Deprecated field, used in earlier version of RS)
Part Number (usually "p0", "X0" when using expired reagents)
ZMW hole number
Subread Region (start_stop using polymerase read coordinates)
readScore
barcodeScore

RA at ICAR - INDIAN INSTITUTE OF OILSEEDS RESEARCH

Mon, 22 Feb 2016 05:21:34 -0600

ICAR - INDIAN INSTITUTE OF OILSEEDS RESEARCH

HYDERABAD-500030

F.No. 5-42/2016/Rectt.

WALK IN INTERVIEW

Eligible candidates are invited to attend Walk in Interview to fill up the (purely) temporary post of Junior Research Fellow (One) under Extramural Research Project entitled “Transcriptome and proteome analysis for identification of candidate genes responsible for pistillate nature in castor “ to be held on 04.03.2016 at 11.00 AM at ICAR – Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad. The tenure of the project is up to 31.03.2017. The requirement and other terms and conditions for the Junior Research Fellow are as under :-

Junior Research Fellow (One)

Nucleic acid isolations, molecular analysis, bioinformatic analysis

.M.Sc.Biotechnology/Bioinformatics

Post Graduation in Life Sciences.

Candidates having Post Graduate degree in Basic Sciences with 3 years Bachelor’s degree and 2 years Master’s Degree 1,2,3 should have NET qualification.

Experience in Plant Biotechnology and Bioinformatics

Rs.25000/- + 30% HRA per month (At present)

More Info : http://icar-iior.org.in/media/docs/employment/2016/jrf-int.pdf

Reference-free prediction of rearrangement breakpoint reads

Neel — Thu, 08 Mar 2018 05:05:25 -0600

lideSort-BPR ( b reak p oint r eads) is based on a fast algorithm for all-against-all comparisons of short reads and theoretical analyses of the number of neighboring reads. When applied to a dataset with a sequencing depth of 100×, it finds ∼88% of the breakpoints correctly with no false-positive reads. Moreover, evaluation on a real prostate cancer dataset shows that the proposed method predicts more fusion transcripts correctly than previous approaches, and yet produces fewer false-positive reads. To our knowledge, this is the first method to detect breakpoint reads without using a reference genome.

https://github.com/ewijaya/slidesort-bpr

Address of the bookmark: https://code.google.com/archive/p/slidesort-bpr/

destruct

Jitendra Prajapati — Mon, 29 Feb 2016 17:34:59 -0600

Destruct is a tool for joint prediction of rearrangement breakpoints from single or multiple tumour samples.

More at https://bitbucket.org/dranew/destruct

Address of the bookmark: https://bitbucket.org/dranew/destruct

GenomeMapper: Simultaneous alignment of short reads against multiple genomes

Jit — Fri, 25 May 2018 09:29:44 -0500

GenomeMapper is a short read mapping tool designed for accurate read alignments. It quickly aligns millions of reads either with ungapped or gapped alignments. It can be used to align against multiple genomes simulanteously or against a single reference. If you are unsure which one is the appropriate GenomeMapper, you might want to use the latter https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2768987/

Address of the bookmark: http://1001genomes.org/software/genomemapper.html

Pattern Searching in a Single Genome

Aasha — Mon, 07 Mar 2016 05:02:51 -0600

Pattern searching holds much importance for biologists , for the understanding of DNA ( and its functionality) can be more than a matter of satisfying curiosity , but also give answers to many issuess uchas medical conditions . However,there are a number of ways of searching with in a single chromosome.

Address of the bookmark: https://www.stats.ox.ac.uk/__data/assets/pdf_file/0018/5373/LintonFinalReport.pdf

FastGT: an alignment-free method for calling common SNVs directly from raw sequencing reads

Jit — Tue, 28 Jan 2020 03:27:33 -0600

FastGT is a program package for whole-genome genotyping of genome variants directly from raw sequencing reads. It is written in C and runs in Linux. FastGT uses a list of variant-specific k-mer pairs that are unique in human genome, counts the frequency of k-mers in sequencing data and predicts the genotype. All this takes less than 1 hour on average low-cost Linux server.

http://bioinfo.ut.ee/FastGT/

https://github.com/bioinfo-ut/GenomeTester4/

Address of the bookmark: http://bioinfo.ut.ee/FastGT/

Program Officer, Bioinformatics at Jhpiego

Tue, 29 Aug 2023 00:05:30 -0500

Jhpiego is a non-profit global health leader and Johns Hopkins University affiliate that is saving lives, improving health, and transforming futures. We partner with governments, health experts, and local communities to build the skills and systems that guarantee a healthier future for women and families. Jhpiego translates the best science and practices into moments of care that can mean the difference between life and death for women and families. The moment a woman gives birth; the moment a midwife helps a newborn to breathe. Through our partnerships, we are revolutionizing health care for the world’s most disadvantaged and vulnerable people. In India, Jhpiego works across various states in close collaboration with national and state governments, providing technical assistance in the areas of family planning, maternal and child health, strengthening human resources for health, and non-communicable diseases. These programs are funded by USAID, the Bill & Melinda Gates Foundation, the David & Lucile Packard Foundation, the Children’s Investment Fund Foundation (CIFF), , and other anonymous donors.

The Program Officer, Bioinformatics, operating under the Senior Advisor for Metagenomics & Lab Systems, will play a pivotal role in leveraging bioinformatics to advance the objectives of the Health Security and AMR program. This position offers a unique opportunity to contribute to cutting-edge genomics research and its application in public health.

More detail at https://jobs-jhpiego.icims.com/jobs/5440/program-officer-%e2%80%93-bio-informatics/job