The most used mappers of DNA-seq data are BWA and Bowtie for DNA-Seq data and Tophat, STAR or HISAT for RNA-Seq data. Mappers differ in which options they can take in, how fast and how accurate they are. Bowtie is faster than BWA, but looses some sensitivity (does not map an equal amount of reads to the correct position in the genome).

Address of the bookmark: http://wiki.bits.vib.be/index.php/Mapping_of_NGS_data

*The journals are not listed in any ascending, descending, or impact factors oders. 

Bioinformatics 

Journal of Computational Biology

Briefings in Bioinformatics

In Silico Biology

Structure

Protein Science

Protein Engineering

Proteomics

Nucleic Acids Research

Trends in Biotechnology

Proceedings of the National Academy of Sciences

Folding and Design

Genome Biology

Journal of Biomedical Informatics

Bioinformation

Journal of Computational Intelligence in Bioinformatics

Journal of Structural and Functional Genomics

Journal of Molecular Graphics and Modelling

Metabolic Engineering

Computers & Chemistry

Artificial Intelligence in Medicine

Journal of Biomedical Science

Artificial Intelligence

Machine Learning

Applied Bioinformatics

Applied Genomics and Proteomics

BMC Bioinformatics

Online Journal of Bioinformatics (OJB)

PSB On-Line Proceedings

Bioinformatics: Information Technology & Systems (BITS)

Data Mining and Knowledge Discovery

The EMBO Journal

Current Opinions in Structural Biology

Journal of Molecular Microbiology and Biotechnology

Nature

Nature Structural Biology

Journal of Machine Learning Research

Nature Genetics

Current Opinion in Genetics & Development

Nature Biotechnology

Trends in Biochemical Sciences

Proteins: Structure, Function, and Genetics

Nature Cell Biology

Trends in Genetics

ChemBioChem

Trends in Molecular Medicine

Journal of Molecular Modelling

Trends in Pharmacological Sciences

Drug Discovery Today

Others Free Online Full-text Journals

Script https://sourceforge.net/projects/c-l-authenticator/files/

Address of the bookmark: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0155459

Applications are invited for the post of Project Assistant to work in the following
project.

• Title of the project: "A novel approach for the identification of key regulatory molecules and their pathways for Rheumatoid Arthritis" funded by Department of Science and Technology, New Delhi, Government of India.

• Project Assistant

• Essential Qualification: The minimum essential qualification would be M.Sc/B.Tech. in Bioinformatics/ Computer Science /Biotechnology.

• Salary : Rs. 8,000/month for a period of 3 years

Application in plain paper with following details: Name, Address, Date of Birth and Educational Qualifications and details of research experience with publications if any, may be sent to:

Mr. Sachidanand Singh,
Principal Investigator,
Department of Bioinformatics, School of Biotechnology and Health Sciences
Karunya University,
Karunya Nagar, Coimbatore- 641114

Ph.no: 09489677764, 09047654981

E-mail: sachidanand@karunya.edu

http://www.karunya.edu/bioinformatics/people/faculty/

Deadline : 25th August 2013

Advertisement: www.karunya.edu/bioinformatics/Project%20Assistant%20in%20SERB.pdf

https://bienkocrosettolabs.org/

For more information visit: http://www.snubi.org/TBC2013/

https://salzberg-lab.org/

http://biopython.org/DIST/docs/tutorial/Tutorial.html

Genome annotation is a multi-level process that includes prediction of protein-coding genes, as well as other functional genome units such as structural RNAs, tRNAs, small RNAs, pseudogenes, control regions, direct and inverted repeats, insertion sequences, transposons and other mobile elements.

NCBI has developed an automatic prokaryotic genome annotation pipeline that combines ab initio gene prediction algorithms with homology based methods. The first version of NCBI Prokaryotic Genome Automatic Annotation Pipeline (PGAAP; see Pubmed Article) developed in 2005 has been replaced with an upgraded version that is capable of processing a larger data volume. You can find a more detailed description of the new version of the pipeline in NCBI Handbook chapter. NCBI's annotation pipeline depends on several internal databases and is not currently available for download or use outside of the NCBI environment.

https://www.ncbi.nlm.nih.gov/genome/annotation_prok/

Address of the bookmark: https://www.ncbi.nlm.nih.gov/genome/annotation_prok/