What is he best known for?
The fields of study he is best known for:
The scientist’s investigation covers issues in Genetics, Genome, Gene, Whole genome sequencing and Computational biology.
Sequence analysis, mothur, Chimera, Systems biology and Proteomics are subfields of Genetics in which his conducts study.
His Genome research is multidisciplinary, incorporating perspectives in Helminth genetics and Metagenomics.
In his study, which falls under the umbrella issue of Gene, Human genome, Eukaryotic gene, Human genetics and Gene isoform is strongly linked to Annotation.
The Whole genome sequencing study combines topics in areas such as Phytophthora, Phytophthora infestans, Blight, Botany and Oomycete.
Brian J. Haas has included themes like RNA-Seq, De novo transcriptome assembly, Transcriptome, Sequence assembly and Genome editing in his Computational biology study.
His most cited work include:
- Full-length transcriptome assembly from RNA-Seq data without a reference genome. (10815 citations)
- UCHIME improves sensitivity and speed of chimera detection (8507 citations)
- Structure, function and diversity of the healthy human microbiome (6128 citations)
What are the main themes of his work throughout his whole career to date?
Brian J. Haas focuses on Genetics, Genome, Gene, Computational biology and Whole genome sequencing.
His work is connected to Genome project, Arabidopsis, Sequence analysis, DNA microarray and Alternative splicing, as a part of Genetics.
Much of his study explores Genome relationship to Annotation.
His work deals with themes such as Vertebrate and Genome Annotation Project, Genome browser, Eukaryotic gene and Human genome, which intersect with Annotation.
His work in the fields of Gene, such as Genomic organization, Pseudogene, Gene duplication and Protein family, overlaps with other areas such as Fungal genetics.
His Computational biology study also includes
- RNA-Seq and related Sequence assembly,
- Transcriptome that intertwine with fields like Cancer.
He most often published in these fields:
- Genetics (69.59%)
- Genome (60.81%)
- Gene (41.89%)
What were the highlights of his more recent work (between 2016-2021)?
- Cell biology (6.76%)
- Computational biology (24.32%)
- Cancer research (4.73%)
In recent papers he was focusing on the following fields of study:
Brian J. Haas mainly investigates Cell biology, Computational biology, Cancer research, Regeneration and Transcriptome.
His Cell biology research incorporates elements of Ribonucleoprotein, RNA, Gene expression and Heat shock protein.
Brian J. Haas combines subjects such as Fusion gene, Fusion transcript, Small hairpin RNA and Genome editing, Genome with his study of Computational biology.
His Fusion gene research is multidisciplinary, incorporating elements of Sequence analysis, Human genetics and Sequence assembly.
His work investigates the relationship between Genome and topics such as CIRBP that intersect with problems in Identification.
Brian J. Haas is researching Transcriptome as part of the investigation of Genetics and Gene.
Between 2016 and 2021, his most popular works were:
- Next-generation characterization of the Cancer Cell Line Encyclopedia (576 citations)
- A Tissue-Mapped Axolotl De Novo Transcriptome Enables Identification of Limb Regeneration Factors (314 citations)
- The neuropeptide NMU amplifies ILC2-driven allergic lung inflammation (260 citations)
In his most recent research, the most cited papers focused on:
His primary scientific interests are in Computational biology, Fusion transcript, Fusion gene, RNA-Seq and Transcriptome.
His Computational biology research is multidisciplinary, incorporating perspectives in Cancer, DNA methylation, Small hairpin RNA, RNA splicing and Genome editing.
His Fusion transcript research includes elements of Sequence analysis, Human genetics and Sequence assembly.
Many of his studies on Fusion gene apply to Whole genome sequencing as well.
His Transcriptome study improves the overall literature in Genetics.
His studies in CIRBP integrate themes in fields like Blastema, Axolotl, Regeneration and Developmental biology.
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