Like other indel callers, Scalpel works by performing de novo assembly of regions of interest, so that misalignment to the reference genome cannot obscure the presence of an insertion or deletion. Scalpel's innovation is to repeatedly check its assembly before comparing to the reference genome, to account for simple sequence repeats that are a regular source of error in indel calling. When Scalpel assembles an exon, it collects reads that map to that exon (including partial matches), splits them into k-mers, and creates a de Bruijn graph to span the exon; however, if it detects repeats in the map, it iteratively increases the size of the k-mers by one base until the repeats are eliminated. This ensures that the final assembly of the exon is highly accurate while minimizing compute time.

The Cold Spring Harbor team's validation of Scalpel, published over the weekend in Nature Methods, compares Scalpel's performance on a live whole exome against HaplotypeCaller and SOAPindel. The donor is an individual with serious neurological disorders, which may be linked to a high incidence of indels. One thousand indels from this individual's exome, called by one or more of the informatics pipelines, were selected for focused resequencing. This resequencing revealed a 77% true positive rate for Scalpel calls, dramatically better than the rates for either of the competing tools; Scalpel performed especially well with indels longer than five base pairs, a traditional weak point for indel callers.

Finally, the authors demonstrate Scalpel's use on a large set of genetic data from nearly 600 families who donated samples to the Simons Simplex Collection, a project of the Simons Foundation Autism Research Initiative. Scalpel found a very high enrichment for indels in children affected by autism, compared with their unaffected siblings, a pattern that persisted even after excluding common variants.

https://bioinformaticsworkbook.org/

Address of the bookmark: https://bioinformaticsworkbook.org/

https://bioinformatics.kmutt.ac.th/about.html

Duangrudee Tanramluk (Ajarn Wi) uses computational biology and machine learning to tackle the key to drug design problems via MANORAA webserver.

https://mb.mahidol.ac.th/en/bioinformatics/

https://graduate.mahidol.ac.th/inter/

This international Doctorate programme is designed to further broaden students’ knowledge in Bioinformatics and Molecular Biology to their maximum capability. 

http://www.mbb.psu.ac.th/programmes/phd

Ph.D. program in Bioinformatics and Computational Biology is a joint effort of the Faculty of Science and Faculty of Medicine, Chulalongkorn University. The program has study plans for both applicants who hold a bachelor’s degree and applicants who hold a master’s degree in any related fields of study.

http://www.bioinfo.sc.chula.ac.th/ph-d-program-specialization/

Additional detail 

https://www.biotec.or.th/en/index.php/research/research-units/genome-technology-research-unit

https://tbrcnetwork.org/labtbrc/index.php/bioinformatics-and-chemoinformatics/

https://genomicsthailand.com/Genomic/home

Address of the bookmark: https://bioinformatics.kmutt.ac.th/

Bioinformatics : https://www.linkedin.com/jobs/view/2681785372/

Engineer: https://www.linkedin.com/jobs/view/2681796993/

1. SPAdes: An assembler specifically designed for single-cell and multi-cell bacterial genomes, as well as small eukaryotic genomes.

2. ABySS: A parallelized assembler for large genomes that uses de Bruijn graphs.

3. Velvet: Another de Bruijn graph-based assembler optimized for short-read sequencing data.

4. SOAPdenovo: A de Bruijn graph-based assembler designed for short reads, widely used for assembling large and complex genomes.

5. MaSuRCA: A hybrid assembler that combines data from multiple sequencing technologies, such as Illumina and PacBio.

6. Canu: A long-read assembler optimized for PacBio and Oxford Nanopore sequencing data.

7. Flye: A long-read assembler suitable for bacterial and small eukaryotic genomes.

8. SMARTdenovo: An assembler designed for long reads, particularly suited for PacBio data.

9. SPAdes Long Read (SPAdesLR): An extension of SPAdes for long-read data, such as those from PacBio or Nanopore.

10. Minia: An assembler optimized for low memory consumption, suitable for small and medium-sized genomes.

11. Unicycler: A hybrid assembler that combines short and long reads for circular bacterial genome assembly.

12. wtdbg2: A de Bruijn graph assembler for long reads, efficient for very large genomes.

13. Shasta: A long-read assembler that uses the Overlap-Layout-Consensus approach, suitable for PacBio and Nanopore data.

14. Sparc: An assembler designed to handle noisy long reads from Nanopore sequencing.

15. CANA: An assembler for metagenomic data, particularly for complex and diverse microbial communities.

16. Ra Assembler: A metagenome assembler for long reads, designed for highly complex metagenomic samples.

Please note that the field of bioinformatics is constantly evolving, and new assembly tools may have emerged since my last update. Additionally, the performance of these tools can vary depending on the characteristics of the sequencing data and the genome being assembled. When selecting an assembly tool, consider the specific requirements of your project, the available data types, and the computational resources at your disposal. Always refer to the respective tool's documentation and publications for the most up-to-date information and recommendations.

Address of the bookmark: https://biokit.readthedocs.io/en/latest/index.html

Research Area:
breast cancer; pancreatic cancer; prostate cancer; gastrointestinal disorders; urohaemolytic disorders; staphylococcal diseases

The blind mole rat (Spalax) is an intriguing creature worthy of study. This was animal research examining the resistance subterranean blind mole rats (Spalax) have to cancers. Blind mole rats are one of a unique group of animals that spend their lives underground, are tolerant of very low oxygen levels (down to only 3% concentration – levels that would kill a human), have a long lifespan of more than 20 years, which is exceptional for a small rodent, and show no clear signs of ageing or age-related diseases.

This research has demonstrated the unique abilities of the blind mole rat to resist cancer, even when directly given potent cancer-causing chemicals. In this study researchers gave blind mole rats potent cancer-causing chemicals either through injections or applied directly to the skin, but the animals didn't develop cancer.

Remarkably, connective tissue cells (fibroblasts) taken from the blind mole rat even prevented the growth of human cancer cells when they were grown together in the laboratory.

In the laboratory, the researchers also demonstrated how connective tissue cells called fibroblasts taken from the animal seem to play an important role in this cancer resistance. These cells prevented the growth of human cancer cells when the two types of cells were grown together in the laboratory.

The researchers concluded that, "This report provides pioneering evidence that Spalax [the blind mole rat] is not only resistant to spontaneous cancer, but also to experimentally induced cancer, and shows the unique ability of Spalax fibroblasts to inhibit growth and kill cancer cells, but not normal cells, either through direct fibroblast-cancer cell interaction or via soluble factors."

Nonetheless, there remains optimism that understanding the anti-cancer mechanisms of mole rats may one day help inform further cancer treatments for humans, but a lot more research – and probably a significant amount of time – is needed before this can be considered.

Reference:

Image: telegraph.co.uk

http://www.biomedcentral.com/1741-7007/11/91

Manov, Irena, et al. "Pronounced cancer resistance in a subterranean rodent, the blind mole-rat, Spalax: in vivo and in vitro evidence." BMC biology 11.1 (2013): 91.

http://www.nhs.uk/news/2014/01January/Pages/Claims-of-a-universal-cure-for-cancer-misleading.aspx

http://www.express.co.uk/news/health/454188/EXCLUSIVE-Cure-for-ALL-cancers-is-on-the-way-as-scientists-discover-major-breakthrough

http://www.dailymail.co.uk/health/article-2540321/Could-mole-rats-hold-key-cure-cancer-Scientists-hail-potentially-life-changing-breakthrough.html

Place of employment and work

The candidate will be located at the Department of Experimental Oncology of the European Institute of Oncology in Milan (Italy), one of Europe’s leading research institutes in biomedical research, where he/she will also interact with one of the largest computational biology communities in Italy

Requirements:

The candidate should have a good knowledge of the UNIX system and good programming skills (bash, R, python, java). Background in bioinformatics would be appreciated but is not mandatory. Additional experience with containers (docker, singularity), grid computing, web frameworks, continuous integrations will be appreciated.

For further info or to arrange an informal interview, please write to arnaud.ceol@ieo.it

Source:http://www.nejm.org/doi/full/10.1056/NEJMp1114866

Another video on precision medicine:

http://www.youtube.com/watch?v=Pi8W0yOXnzE

Precision Medicine basically intergrates bioinformatics, genomics , genetics, molecular biology and nanotechnology to deliver precise cure/diagnotics to a specific patient.

Examples:

• The drug imatinib (Gleevec) designed to inhibit an altered enzyme produced by a fused version of two genes found in chronic myelogenous leukemia.
• The breast cancer drug trastuzumab (Herceptin) works only for women whose tumors have a particular genetic profile called HER-2 positive.

E.g. source :

http://www.bionews-tx.com/news/2013/08/15/how-the-impact-of-cancer-genomics-on-precision-medicine-is-revolutionizing-cancer-treatment/

Address of the bookmark: http://www.cbsnews.com/video/watch/?id=50149783n