Annual International Conference on Research in Computational Molecular Biology

Top Research Topics at Research in Computational Molecular Biology?

• Computational biology (30.36%)
• Genetics (23.14%)
• Genome (18.62%)

Research in Computational Molecular Biology focuses on Computational biology, Genetics, Genome, Algorithm and Gene. The studies on Computational biology discussed can also contribute to research in the domains of Data mining, Artificial intelligence, Bioinformatics and Phylogenetic tree. DNA sequencing, Haplotype, Transcription factor, Sequence (medicine) and DNA are some of the facets of Genetics tackled in it.

Research on Genome addressed in it frequently intersections with the field of Evolutionary biology. Sequence and Theoretical computer science are some topics wherein Algorithm research discussed in the event have an impact. The majority of Gene studies in the event are focused on the subject of Gene duplication.

The Time complexity research discussed is included in the broader subject of Combinatorics.

What are the most cited papers published at the conference?

• Improved splice site detection in Genie (1298 citations)
• Differential oestrogen receptor binding is associated with clinical outcome in breast cancer (986 citations)
• NOTUNG: a program for dating gene duplications and optimizing gene family trees. (393 citations)

Research areas of the most cited articles at Research in Computational Molecular Biology:

Algorithm, Computational biology, Genetics, Genome and Data mining are the main subjects of interest in the published papers. The works on Algorithm tackled in the most cited papers bring together disciplines like Multiple sequence alignment and Mathematical optimization, Heuristic. Binding site, Synthetic data, Artificial intelligence, Machine learning and Partition (database) are some topics wherein Computational biology research discussed in the published papers has an impact.

What topics the last edition of the conference is best known for?

• Gene
• DNA
• Artificial intelligence

The previous edition focused in particular on these issues:

The primary areas of discussion in the conference are Haplotype, Algorithm, Burrows–Wheeler transform, Matching (statistics) and Computational biology. The research topics discussed in the conference include Algorithm as well as 2019-20 coronavirus outbreak. The conference explores topics in Computational biology which can be helpful for research in disciplines like Transcription factor, Motif (narrative) and Genome variation.

The most cited articles from the last conference are:

• Algorithms meet sequencing technologies – 10th edition of the RECOMB-Seq workshop (0 citations)
• Taming Disruptive Base Pairs to Reconcile Positive and Negative Structural Design of RNA (0 citations)
• Variant and haplotype aware motif scanning on genome variation graphs (0 citations)

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing at Research in Computational Molecular Biology (based on the number of publications) are:

• Pavel A. Pevzner (35 papers) absent at the last edition,
• Bonnie Berger (30 papers) absent at the last edition,
• Eleazar Eskin (28 papers) absent at the last edition,
• David Sankoff (27 papers) absent at the last edition,
• Ron Shamir (22 papers) absent at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing at Research in Computational Molecular Biology (based on the number of publications) are:

• University of California, San Diego (81 papers) absent at the last edition,
• Tel Aviv University (65 papers) absent at the last edition,
• Massachusetts Institute of Technology (63 papers) absent at the last edition,
• Carnegie Mellon University (52 papers) absent at the last edition,
• University of California, Berkeley (51 papers) absent at the last edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 75.00% of all publications and 25.00% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.