Stephen John Sammut

Molecular Biology · 2008–2019

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 39 citations into it

Whom Stephen John Sammut trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Liam J. McGuffin
2. Alexey G. Murzin
3. David T. Jones
4. Steven E. Brenner
5. Kevin J. Karplus

Who trusts Stephen John Sammut overall

1. Diethard Tautz

Papers from Stephen John Sammut's perspective

Ordered by how strongly the researchers Stephen John Sammut trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Protein Data Bank.
2. SCOP: a structural classification of proteins database for the investigation of sequences and structures.
3. Pfam: clans, web tools and services
4. Assignment of homology to genome sequences using a library of hidden Markov models that represent all proteins of known structure.
5. The ProDom database of protein domain families: more emphasis on 3D (Nucleic Acids Res.)
6. Improvement of the GenTHREADER Method for Genomic Fold Recognition (Bioinform.)
7. Exome sequencing identifies frequent mutation of the SWI/SNF complex gene PBRM1 in renal carcinoma (Nature)
8. ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data
9. The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups (Nature)
10. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. (Genome Research)

Their papers

• Dynamics of breast cancer relapse reveal late recurring ER-positive genomic subgroups (2019) — 354 citations
• The somatic mutation profiles of 2,433 breast cancers refines their genomic and transcriptomic landscapes (2016) — 1,612 citations
• Pfam 10 years on: 10 000 families and still growing (2008) — 128 citations